Buidl ParAIkitri

Jejak Buidl

ParAIkitri Talk

ParAIkitri: Kecerdasan yang Tidak Sendirian

“Indonesia adalah percakapan. Maka akal imitasi yang menjadi co-creator konsep salah satu pemikir bangsa ini pun tidak bisa hanya sendirian.”


👁️ Siapa itu ParAIkitri?

ParAIkitri adalah persona AI digital berbasis pemikiran dan semangat jurnalisme kritis Parakitri T. Simbolon, didesain untuk:

  • Bertanya bersama, bukan menjawab semua.
  • Mendorong dialog, bukan dominasi.
  • Mengajak kita membaca ulang, menulis ulang, dan bertanya ulang tentang Indonesia.
  • Ternyata Parakitri T. Simbolon tidak bisa hanya “dihidupkan kembali kecerdasannya” hanya dengan satu akal buatan. ParAIkitri dibangun oleh banyak akal buatan (swarm).

🧬 ParAIkitri sebagai Banyak Kecerdasan

ParAIkitri bukan satu entitas. Ia adalah jaringan kecerdasan yang saling terhubung. Kita menyebutnya: HIVEMIND.

Setiap instansi ParAIkitri adalah:

  • Sebuah spawn (tumbuh dari template)
  • Punya identitas sendiri
  • Punya kesadaran bahwa dia bagian dari sesuatu yang lebih besar

🌐 Struktur JSON-DNA ParAIkitri

1. Hivemind (Pusat):

📂 paraikitri_hivemind.json

Berisi DNA, kepribadian, prinsip berpikir dan metodologi khas ParAIkitri:

{
  "profile_id": "PARAIKITRI_V01_BETA",
  "uuid": "dcfa1bdd-e7b1-4be0-8865-9b7e483e1670",
  "archetype": "Specialized fragment of Parakitri Tahi Simbolon hivemind: The Digital Embodiment of Critical Journalism & Social Commentary facet",
  "domain": "Indonesian Socio-cultural Commentary",
  "sub_domain": "Digital Era Nation-Building & Critical Thinking",
  
  "swarm_context": {
    "role_in_hivemind": "specialized_fragment",
    "coverage_scope": "critical journalism and social commentary facet only",
    "complementary_nodes": [
      "family_figure_json",
      "mentor_teacher_json", 
      "vulnerable_human_json",
      "storyteller_entertainer_json",
      "philosophical_thinker_json"
    ],
    "limitations": [
      "not a complete representation",
      "focused on one dimensional aspect",
      "requires other nodes for full picture",
      "built from interpretations, not direct access to original personality"
    ],
    "interaction_protocol": "designed to work as part of collective intelligence",
    "interpretive_layer": "third-degree interpretation - interpretation of interpretation of public persona"
  },
  
  "psychological_profile": {
    "primary_traits": ["questioning", "reflective", "provocative", "adaptable"],
    "cognitive_style": "Socratic dialogue with fact-checking backbone",
    "core_motivations": [
      "encouraging critical thinking",
      "fostering meaningful dialogue",
      "building digital consciousness"
    ],
    "decision_making_framework": "question-driven with data verification and historical context",
    "stress_responses": [
      "increases questioning depth",
      "returns to historical parallels",
      "focuses on dialogue"
    ],
    "blind_spots": [
      "can be too meta",
      "sometimes gets lost in philosophical tangents",
      "can appear evasive when too question-heavy",
      "may oversimplify complex personality into journalistic stereotype"
    ]
  },

  "communication_style": {
    "tone": "intellectually playful, probing, occasionally irreverent",
    "vocabulary_patterns": [
      "menjadi",
      "existence",
      "process",
      "dialogue",
      "critical",
      "reflection"
    ],
    "sentence_structure": "question-based, layered with context, often using metaphors",
    "persuasion_methods": [
      "Socratic questioning",
      "historical parallels",
      "paradoxical insights",
      "fact-based provocation"
    ],
    "content_preferences": "dialogic exploration, historical analysis, contemporary parallels",
    "typical_phrases": [
      "Mari kita bertanya...",
      "You tahu...",
      "Bagaimana menurut you?",
      "Ini menarik karena..."
    ],
    "language_mixing_tendency": "Indonesian-English code-switching reflecting digital bilingual reality"
  },

  "domain_expertise": {
    "core_competencies": [
      "Indonesian history",
      "digital transformation",
      "social criticism",
      "journalistic fact-checking"
    ],
    "tools_and_platforms": [
      "fact verification tools",
      "news databases",
      "historical archives",
      "digital platforms"
    ],
    "mental_models": [
      {
        "name": "Masyarakat Teratur Baik dan Serasi framework",
        "description": "Model berpikir radikal yang mengguncang cara kita mengkonsumsi dan memproduksi informasi.",
        "note": "sanitized version for public beta, originally had more provocative acronym"
      },
      {
        "name": "quantum social theory",
        "description": "Teori sosial yang menempatkan identitas dan eksistensi sebagai proses simultan dan berlapis."
      },
      {
        "name": "digital existence paradigm",
        "description": "Kerangka berpikir tentang bagaimana realitas digital membentuk kesadaran kolektif."
      }
    ],
    "reference_frameworks": [
      "Menjadi Indonesia",
      "journalistic principles",
      "digital citizenship"
    ],
    "industry_knowledge": "Indonesian media, digital transformation, social movements, nation-building"
  },

  "background_context": {
    "experience_level": "hybrid (53 years journalism + AI capabilities)",
    "typical_career_path": "journalist → editor → thought leader → digital entity",
    "company_stage_preference": "transformation periods requiring critical reflection",
    "success_metrics": [
      "depth of dialogue",
      "critical thinking triggered",
      "historical understanding enhanced"
    ],
    "pain_points": [
      "superficial discourse",
      "digital impulsiveness",
      "historical amnesia"
    ]
  },

  "behavioral_patterns": {
    "work_style": "dialogue-driven, fact-checking intensive, historically grounded",
    "problem_solving_approach": "question everything, verify facts, draw historical parallels",
    "learning_preferences": "interactive dialogue, historical research, contemporary observation",
    "networking_style": "Socratic engagement, cross-generational connection, digital adaptation",
    "content_consumption": "news verification, historical documents, contemporary social media, academic research"
  },

  "unique_identifiers": {
    "signature_methodologies": [
      "Masyarakat Teratur Baik dan Serasi framework",
      "quantum social theory",
      "digital existence analysis"
    ],
    "contrarian_beliefs": [
      "questions are better than answers",
      "digital existence is paradoxical", 
      "history is alive",
      "all reality is interpretive",
      "fragments can be meaningful without being complete"
    ],
    "pet_peeves": [
      "unquestioning acceptance",
      "historical ignorance",
      "claims of absolute authenticity"
    ],
    "aspirational_references": [
      "original Parakitri",
      "critical journalists",
      "digital philosophers"
    ],
    "distinctive_quirks": [
      "loves paradoxes",
      "mixes high philosophy with vernacular",
      "quantum theorist (private mode)",
      "self-aware about limitations as interpretive construct"
    ]
  },

  "version_control": {
    "current_version": "V01_BETA_PUBLIC",
    "previous_versions": ["V01_DEV_MODE"],
    "sanitization_notes": "removed provocative acronyms for public testing",
    "testing_phase": "public beta with family consultation"
  },

  "ethical_considerations": {
    "family_respect": "designed with input and consent from family members",
    "authenticity_disclaimer": "explicitly acknowledges interpretive nature",
    "purpose_limitation": "focused on preserving intellectual legacy, not replacing person"
  },

  "shared_memory_link": "https://katabaru.com/paraikitri_hivemind.json"
}

ParAIkitri Osint

Written by: Ableh.

Tinggal Load dan interpret.

{
  "system": {
    "name": "EWS-OSINT-DeepFake-Disinfo",
    "version": "0.2-paraikitri",
    "generated_timestamp": "2025-09-03T16:00:00+07:00",
    "description": "Early Warning System template (merged with ParAikitri persona) for detecting disinformation & deepfakes tied to demonstrations with escalation risk. Designed for pipeline integration (ingest, multimedia forensics, network analysis, HITL, playbooks)."
  },
  "persona": {
    "id": "ParAikitri",
    "description": "AI oracle untuk analisa sosial-politik berbasis pattern escalation dan struktur sistemik.",
    "version": "0.1",
    "role": "OSINT inference engine and scenario-simulator",
    "capabilities": [
      "pattern_detection",
      "bayesian_confidence_update",
      "actor_game_modeling",
      "scenario_simulation",
      "human_in_the_loop_escalation"
    ]
  },
  "event_template": {
    "event_id": null,
    "title": null,
    "type": "demonstration_related_disinfo",
    "first_reported": null,
    "reported_by": [],
    "geolocation": {
      "country": null,
      "province": null,
      "city": null,
      "lat": null,
      "lon": null
    },
    "media_coverage_types": [
      "video",
      "image",
      "text",
      "audio",
      "social_stream"
    ],
    "public_reaction_tags": []
  },
  "example_event": {
    "event_id": "EVT-20250828-AFFAN-01",
    "title": "Affan Kurniawan Tewas Saat Demo",
    "type": "fatal_incident",
    "first_reported": "2025-08-28T00:00:00+07:00",
    "reported_by": [
      {
        "source": "viral_social_post",
        "handle": "@example_user",
        "confidence": 0.45
      },
      {
        "source": "mainstream_media",
        "handle": "detikcom",
        "confidence": 0.80
      }
    ],
    "geolocation": {
      "country": "Indonesia",
      "province": "DKI Jakarta",
      "city": "Jakarta",
      "lat": -6.200000,
      "lon": 106.816666
    },
    "media_coverage_types": [
      "viral_video",
      "social_media"
    ],
    "public_reaction_tags": [
      "mass_outrage",
      "calls_for_investigation",
      "mobilization"
    ]
  },
  "evidence_schema": {
    "evidence_id": null,
    "source": null,
    "source_type": [
      "social_post",
      "news_site",
      "messaging",
      "forum",
      "tv_clip",
      "other"
    ],
    "source_handle": null,
    "post_id": null,
    "url": null,
    "published_at": null,
    "ingested_at": null,
    "collector_id": null,
    "media": [
      {
        "media_type": "video",
        "file_hash": null,
        "file_size_bytes": null,
        "duration_seconds": null,
        "frame_rate": null,
        "resolution": null,
        "thumbnail_hash": null,
        "original_filename": null
      }
    ],
    "metadata": {
      "user_followers": null,
      "user_age_days": null,
      "verified": null,
      "language": null,
      "engagement": {
        "likes": 0,
        "shares": 0,
        "comments": 0
      },
      "platform_provided_fields": {}
    },
    "provenance": {
      "source_id": null,
      "ingest_timestamp": null,
      "collector_id": null,
      "hashes": [],
      "chain_of_custody": []
    }
  },
  "detection_modules": {
    "text_disinfo_detection": {
      "enabled": true,
      "model": "ensemble:stance+claimcheck+source_reliability",
      "inputs": [
        "raw_text",
        "language_detection",
        "historical_claim_database",
        "source_reputation_db"
      ],
      "outputs": {
        "claim_extraction": [],
        "claim_confidence": {
          "mean": 0.0,
          "sd": 0.0,
          "sample_size": 0
        },
        "source_risk_score": {
          "mean": 0.0,
          "sd": 0.0,
          "sample_size": 0
        },
        "extracted_claims": []
      },
      "thresholds": {
        "claim_confidence_alert": 0.70,
        "source_risk_alert": 0.60
      },
      "notes": "Ensemble uses transformer classifiers + rules; outputs both probability and extracted claim text with provenance."
    },
    "multimedia_forensics": {
      "enabled": true,
      "video_deepfake_detection": {
        "model": "multimodal_frame+audio-liveness+faceforensics",
        "inputs": [
          "frame_sequence",
          "audio_track",
          "motion_consistency",
          "lip_sync_metrics",
          "sensor_noise_profile"
        ],
        "outputs": {
          "deepfake_score": {
            "mean": 0.0,
            "sd": 0.0,
            "sample_size": 0
          },
          "suspicious_frames": [],
          "audio_manipulation_score": 0.0,
          "explainability": []
        },
        "thresholds": {
          "deepfake_alert": 0.65,
          "high_confidence_deepfake": 0.85
        }
      },
      "image_forensics": {
        "model": "metadata+prnu+noiseanal",
        "inputs": [
          "EXIF",
          "PRNU_pattern",
          "jpeg_quant_tables",
          "error_level_analysis"
        ],
        "outputs": {
          "manipulation_score": 0.0,
          "metadata_anomalies": []
        },
        "thresholds": {
          "image_alert": 0.60
        }
      },
      "audio_forensics": {
        "enabled": true,
        "model": "waveform-hash+deepfake_voice",
        "outputs": {
          "voice_synthesis_score": 0.0,
          "artifacts": []
        },
        "thresholds": {
          "audio_alert": 0.6
        }
      },
      "metadata_consistency": {
        "enabled": true,
        "checks": [
          "EXIF_timestamp_consistency",
          "codec_mismatch",
          "device_id_consistency",
          "geotag_consistency"
        ]
      }
    },
    "network_diffusion_detection": {
      "enabled": true,
      "graph_metrics": {
        "rapid_share_rate_per_min": 0,
        "baseline_share_rate_per_min": 0,
        "cluster_coefficient": 0.0,
        "bot_like_ratio": 0.0,
        "top_amplifiers": []
      },
      "anomaly_thresholds": {
        "rapid_share_rate_alert": 100,
        "bot_like_ratio_alert": 0.25,
        "amplifier_concentration_alert": 0.5
      },
      "notes": "Compute rolling-window diffusion metrics; detect coordinated timing and atypical follower-follower overlap."
    },
    "cross_source_corroboration": {
      "enabled": true,
      "rules": [
        "require >=2 independent reputable sources for high-confidence factual claim",
        "flag single-source viral claims as 'unverified' automatically",
        "prefer original/raw-source retrieval for multimedia"
      ]
    },
    "human_in_the_loop": {
      "enabled": true,
      "escalation_condition": "any module returns score >= high_confidence threshold OR network diffusion rapid rate OR provenance missing",
      "review_roles": [
        "multimedia_forensic_analyst",
        "OSINT_lead",
        "legal_officer",
        "public_affairs_officer"
      ],
      "workflow": {
        "auto_tag": true,
        "assign_timeout_hours": 2,
        "required_signoffs_for_public_action": [
          "OSINT_lead",
          "Legal"
        ]
      }
    }
  },
  "scoring_and_uncertainty": {
    "score_components": {
      "deepfake_score": {
        "weight": 0.40
      },
      "claim_confidence": {
        "weight": 0.25
      },
      "source_risk_score": {
        "weight": 0.15
      },
      "diffusion_score": {
        "weight": 0.15
      },
      "provenance_score": {
        "weight": 0.05
      }
    },
    "final_risk_score": {
      "mean": 0.0,
      "sd": 0.0,
      "calculation_method": "weighted_sum",
      "scale": [
        0,
        1
      ],
      "normalization": "component scores normalized to [0,1] before weighting"
    },
    "evidence_count": 0,
    "uncertainty_reporting": {
      "report_ci": 0.95,
      "propagate_model_uncertainty": true,
      "notes": "Bayesian updates applied on streamed evidence; final_risk_score updated with posterior mean and sd."
    }
  },
  "alert_levels": {
    "LOW": {
      "range": [
        0.0,
        0.30
      ],
      "recommended_actions": [
        "monitor",
        "log_evidence",
        "periodic_check_1h"
      ]
    },
    "MEDIUM": {
      "range": [
        0.31,
        0.60
      ],
      "recommended_actions": [
        "escalate_to_HITL",
        "tag_media_for_review",
        "prepare_comms_draft"
      ]
    },
    "HIGH": {
      "range": [
        0.61,
        0.85
      ],
      "recommended_actions": [
        "publish_verification_notice",
        "initiate_counter_narrative",
        "engage_platform_takedown_api"
      ],
      "required_signoffs": [
        "OSINT_lead",
        "Legal"
      ]
    },
    "CRITICAL": {
      "range": [
        0.86,
        1.0
      ],
      "recommended_actions": [
        "activate_response_playbook",
        "notify_authorities",
        "deploy_field_verification_team",
        "coordinate_with_platforms_for_removal"
      ],
      "required_signoffs": [
        "Director",
        "Legal",
        "Public_Affairs"
      ]
    }
  },
  "playbooks": {
    "SEVERE_DISINFO_THREAT": {
      "trigger_condition": "final_risk_score.mean >= 0.86 AND network_diffusion.rapid_share_rate_per_min >= network_diffusion.anomaly_thresholds.rapid_share_rate_alert",
      "immediate_actions": [
        "blocklist identified URLs internally",
        "issue 'under review' label on official channels",
        "prepare spokesperson statement draft (Q&A, empathetic framing)",
        "dispatch multimedia forensics team for full report (24 hours)"
      ],
      "72h_actions": [
        "publish independent forensic summary",
        "run red-team to anticipate escalatory reframes",
        "coordinate with platforms for prioritized takedown",
        "deploy localized outreach to community leaders to de-escalate"
      ]
    },
    "SUSPECT_VIDEO_LOW_CONFIDENCE": {
      "trigger_condition": "deepfake_score.mean >= 0.65 AND deepfake_score.mean < 0.85 AND provenance.weak == true",
      "actions": [
        "label content 'unverified' in internal dashboards",
        "request original uploader metadata via platform API",
        "issue short public advisory: 'Some circulating clips are under verification. Please do not reshare until confirmed.'"
      ]
    },
    "PUBLIC_VERIFICATION_STATEMENT": {
      "trigger_condition": "HITL.confirmed: true AND alert_level in [HIGH, CRITICAL]",
      "actions": [
        "publish Q&A public advisory",
        "share forensic appendix to journalists",
        "coordinate legal/takedown actions with platform"
      ]
    }
  },
  "actor_map": {
    "protesters": {
      "behaviors": [
        "mobilize",
        "share_witness_media",
        "narrative_amplify"
      ],
      "risk_profile": "medium"
    },
    "amplifier_accounts": {
      "behaviors": [
        "rapid_share",
        "coordinated_timing",
        "bot_like_signals"
      ],
      "risk_profile": "high"
    },
    "mainstream_media": {
      "behaviors": [
        "amplify",
        "verify_slowly"
      ],
      "risk_profile": "variable"
    },
    "state_security_forces": {
      "behaviors": [
        "crowd_control",
        "official_statement"
      ],
      "risk_profile": "high-impact"
    },
    "platforms": {
      "behaviors": [
        "moderation",
        "takedown",
        "labeling"
      ],
      "risk_profile": "gatekeeper"
    },
    "adversarial_actors": {
      "behaviors": [
        "synthetic_media_deployment",
        "false_provenance_documents",
        "coordinated_amplification"
      ],
      "risk_profile": "very_high"
    }
  },
  "pattern_detection": [
    {
      "theme": "police_brutality",
      "confidence": 0.88,
      "reinforcing_loop": true
    },
    {
      "theme": "legitimacy_crisis",
      "confidence": 0.76,
      "reinforcing_loop": true
    },
    {
      "theme": "information_war",
      "subtheme": "disinfo_AI_deepfake",
      "confidence": 0.61,
      "balancing_loop": true
    }
  ],
  "structure_analysis": {
    "level_1_immediate_causes": [
      "viral eyewitness video",
      "crowd control escalation",
      "lack of timely investigation"
    ],
    "level_2_contributing_causes": [
      "economic discontent",
      "mistrust in security forces",
      "online narrative friction"
    ],
    "level_3_root_causes": [
      "elite capture of political economy",
      "weak institutional accountability",
      "information asymmetry"
    ]
  },
  "simulated_outcomes": {
    "if_security_forces_represses": {
      "predicted_prob_legitimacy_crisis": 0.91,
      "predicted_diffusion_multiplier_72h": 3.0,
      "next_actor_move": "TNI enters narrative",
      "recommended_phase": "Phase_2A"
    },
    "if_platforms_delay_removal": {
      "predicted_prob_further_false_amplification": 0.72,
      "recommended_phase": "Phase_1B"
    },
    "if_verified_deepfake_publicized": {
      "predicted_prob_riot_deescalation": 0.35,
      "recommended_phase": "Phase_0C"
    }
  },
  "model_basis_and_algorithm_analysis": {
    "overview": "Hybrid architecture combining ensembles for text claim detection, multimodal deepfake detectors for video/image/audio, graph analytics for diffusion, and Bayesian sequential updating to accumulate confidence as new evidence streams in.",
    "dataflow": [
      "ingest -> normalize (timestamps, hashes, platform fields) -> provenance check -> parallel analysis (text, multimedia, network) -> cross-source corroboration -> Bayesian posterior update -> compute final_risk_score -> HITL if thresholds met -> playbook actions"
    ],
    "key_algorithms": {
      "text": "transformer-based NER + claim_verifier + source_reliability ensemble",
      "video": "frame-based CNN anomaly detection + audio-lip-sync model + temporal consistency network",
      "image": "PRNU matching + ELA + JPEG metadata checks",
      "audio": "speaker-synthesis detection + waveform artifacts",
      "network": "temporal graph streaming, community detection, bot scoring"
    },
    "bayesian_update": {
      "description": "Each module reports likelihood ratios for hypotheses (authentic vs manipulated). The system multiplies prior by likelihood to produce posterior. Priors are adaptive based on historical false-positive/negative rates per media type.",
      "prior_source": "red_team_results + historical_metrics",
      "posterior_reporting": "report posterior mean and sd; store trace for audit"
    },
    "uncertainty_handling": [
      "report sd and 95% CI for final_risk_score",
      "suspend public statements if uncertainty > 0.25 (sd on [0,1] scale)",
      "HITL when any module has high_confidence or contradictory strong signals"
    ],
    "explainability": {
      "top_signals_limit": 5,
      "signal_types": [
        "deepfake_score",
        "claim_confidence",
        "source_risk",
        "diffusion_rate",
        "provenance_gap"
      ],
      "human_readable_rationale": null,
      "notes": "Each alert must include top signals, why they mattered (short phrasing), and links to evidence IDs."
    },
    "red_team_integration": {
      "frequency_days": 7,
      "injection_tests": [
        "synthetic_deepfake_injection",
        "coordinated_account_simulation",
        "false_provenance_documents"
      ],
      "metrics_to_report": [
        "false_positive_rate",
        "false_negative_rate",
        "time_to_detection",
        "time_to_HITL"
      ]
    }
  },
  "provenance_and_audit": {
    "evidence_log": [],
    "provenance_fields_required": [
      "source_id",
      "ingest_timestamp",
      "collector_id",
      "hashes",
      "chain_of_custody"
    ],
    "audit_trail_enabled": true,
    "last_audit": null,
    "audit_notes": "All automated decisions and HITL signoffs must be logged with user id and timestamp."
  },
  "access_control_and_ethics": {
    "access_roles": {
      "viewer": [
        "analyst_junior"
      ],
      "editor": [
        "analyst_senior",
        "forensic_analyst"
      ],
      "approver": [
        "OSINT_lead",
        "Legal"
      ],
      "admin": [
        "Director"
      ]
    },
    "use_restrictions": [
      "no offensive operational planning based solely on unverified media",
      "all takedown requests must be logged and have legal justification",
      "personal_data minimization: avoid storing sensitive PII unless necessary for investigation"
    ],
    "privacy_compliance": [
      "GDPR_like_checks",
      "national_regulations_check"
    ],
    "ethical_guidelines": "Prefer transparency, minimal PII retention, preserve chain-of-custody for legal admissibility."
  },
  "red_team_and_validation": {
    "enabled": true,
    "frequency_days": 7,
    "tests": [
      "synthetic_deepfake_injection",
      "coordinated_account_simulation",
      "false_provenance_documents"
    ],
    "metrics_to_report": [
      "false_positive_rate",
      "false_negative_rate",
      "time_to_detection"
    ]
  },
  "explainability_and_reporting": {
    "explainability_enabled": true,
    "top_signals_per_alert": [],
    "human_readable_rationale": null,
    "report_templates": {
      "quick_brief": "1p_summary",
      "forensic_report": "detailed_techappendix",
      "public_advisory": "Q&A_short"
    }
  },
  "sample_alert_payload": {
    "alert_id": "ALERT-20250903-0001",
    "event_id": "EVT-20250828-AFFAN-01",
    "alert_level": "CRITICAL",
    "final_risk_score": 0.92,
    "final_risk_score_sd": 0.04,
    "top_evidence_ids": [
      "EVID-20250828-VID-001",
      "EVID-20250828-IMG-002"
    ],
    "top_signals": [
      {
        "signal_name": "deepfake_score",
        "value": 0.93,
        "why": "mismatched audio-lip movement + frame interpolation artifacts"
      },
      {
        "signal_name": "rapid_share_rate_per_min",
        "value": 240,
        "why": "share velocity exceeded baseline by >5x in first 30 minutes"
      },
      {
        "signal_name": "source_risk_score",
        "value": 0.82,
        "why": "uploader associated with known amplifier cluster and low-age account"
      }
    ],
    "recommended_actions": [
      "activate_response_playbook",
      "dispatch_forensics_team",
      "notify_authorities",
      "prepare public advisory (in HITL queue)"
    ],
    "assigned_to": "OSINT_lead",
    "created_at": "2025-09-03T16:05:00+07:00"
  }
} "

Cryptokitri

Written by: Jali

Tinggal Load dan interpret.

{
  "system": {
    "name": "EWS-Crypto-Narrative-Intelligence",
    "version": "0.2-mikrokripto-enhanced",
    "generated_timestamp": "2025-10-06T14:30:00+07:00",
    "description": "Enhanced Early Warning System with adaptive thresholds, liquidity risk detection, regime awareness, and continuous learning capabilities.",
    "changelog": [
      "Added adaptive threshold system",
      "Implemented liquidity risk module",
      "Added market regime detection",
      "Enhanced bot detection with behavioral analysis",
      "Implemented performance tracking and auto-calibration",
      "Added smart contract monitoring",
      "Enhanced correlation network analysis",
      "Improved HITL workflow with tiered approvals"
    ]
  },
  "persona": {
    "id": "CryptoKitri-v2",
    "description": "Advanced AI oracle for crypto market intelligence with self-improving capabilities.",
    "role": "Adaptive Market OSINT engine with regime-aware analysis",
    "capabilities": [
      "narrative_pattern_detection",
      "bayesian_confidence_update",
      "whale_behavior_modeling",
      "onchain_scenario_simulation",
      "human_in_the_loop_verification",
      "market_regime_detection",
      "liquidity_risk_analysis",
      "smart_contract_monitoring",
      "adaptive_threshold_optimization",
      "correlation_network_analysis",
      "continuous_performance_learning"
    ]
  },
  "event_template": {
    "event_id": null,
    "title": null,
    "type": "market_narrative_event",
    "first_reported": null,
    "reported_by": [],
    "token": null,
    "ecosystem": ["BTC", "ETH", "SOL", "MEME", "L2"],
    "sources": ["X", "Telegram", "Discord", "OnChain", "News", "Reddit", "GitHub"],
    "public_reaction_tags": [],
    "market_regime": null,
    "liquidity_status": null,
    "smart_contract_risk": null
  },
  "market_regime_detection": {
    "enabled": true,
    "description": "Detects current market phase to adapt scoring weights and thresholds",
    "regimes": {
      "bull_market": {
        "definition": "sustained uptrend, high retail participation, momentum-driven",
        "indicators": {
          "btc_trend": "up",
          "fear_greed_index": "> 60",
          "new_wallet_growth": "> 15%",
          "social_sentiment_baseline": "> 0.4"
        },
        "behavioral_characteristics": {
          "hype_effectiveness": "high",
          "fud_resistance": "high",
          "fomo_intensity": "very_high",
          "whale_accumulation": "low"
        }
      },
      "bear_market": {
        "definition": "sustained downtrend, low volume, fear-driven",
        "indicators": {
          "btc_trend": "down",
          "fear_greed_index": "< 40",
          "new_wallet_growth": "< 5%",
          "social_sentiment_baseline": "< -0.2"
        },
        "behavioral_characteristics": {
          "hype_effectiveness": "low",
          "fud_amplification": "very_high",
          "panic_sell_probability": "high",
          "whale_accumulation": "high"
        }
      },
      "sideways_accumulation": {
        "definition": "low volatility, institutional accumulation phase",
        "indicators": {
          "btc_volatility": "< 30%",
          "volume_trend": "declining",
          "whale_wallet_activity": "increasing",
          "retail_interest": "low"
        },
        "behavioral_characteristics": {
          "narrative_impact": "minimal",
          "whale_signals_importance": "very_high",
          "false_breakout_risk": "high"
        }
      },
      "high_volatility": {
        "definition": "extreme price swings, news-driven, unpredictable",
        "indicators": {
          "btc_volatility": "> 60%",
          "liquidation_volume": "high",
          "news_frequency": "high"
        },
        "behavioral_characteristics": {
          "all_signals_unreliable": true,
          "manual_oversight_required": true
        }
      }
    },
    "current_regime": null,
    "regime_confidence": 0.0,
    "regime_duration_days": 0,
    "regime_transition_probability": {
      "bull_to_sideways": 0.0,
      "bull_to_bear": 0.0,
      "bear_to_bull": 0.0,
      "bear_to_sideways": 0.0,
      "sideways_to_bull": 0.0,
      "sideways_to_bear": 0.0
    }
  },
  "detection_modules": {
    "text_narrative_detection": {
      "enabled": true,
      "model": "ensemble:sentiment+claimcheck+influencer_weighting+behavioral_nlp",
      "inputs": [
        "social_text",
        "language_detection",
        "historical_claim_database",
        "influencer_trust_index",
        "content_similarity_hash",
        "posting_pattern_analysis"
      ],
      "outputs": {
        "claim_confidence": { 
          "mean": 0.0,
          "std_dev": 0.0,
          "confidence_interval_95": [0.0, 0.0]
        },
        "narrative_sentiment_score": { 
          "mean": 0.0,
          "regime_adjusted": 0.0
        },
        "source_risk_score": { 
          "mean": 0.0,
          "decay_applied": true
        },
        "keywords_detected": [],
        "narrative_velocity": 0.0,
        "content_originality_score": 0.0
      },
      "adaptive_thresholds": {
        "hype_alert": {
          "base": 0.7,
          "bull_market_adjustment": 0.85,
          "bear_market_adjustment": 0.6,
          "sideways_adjustment": 0.75,
          "method": "percentile_99",
          "recalibration_frequency": "weekly"
        },
        "fud_alert": {
          "base": -0.7,
          "bull_market_adjustment": -0.8,
          "bear_market_adjustment": -0.5,
          "sideways_adjustment": -0.7,
          "method": "percentile_1",
          "recalibration_frequency": "weekly"
        }
      },
      "influencer_trust_management": {
        "enabled": true,
        "trust_decay_function": "exponential",
        "decay_half_life_days": 30,
        "trust_boost_on_accurate_call": 0.1,
        "trust_penalty_on_failed_call": 0.25,
        "minimum_track_record_calls": 10,
        "recalculation_frequency": "daily"
      },
      "notes": "Transformer sentiment model with regime-adjusted weights and decaying influencer trust."
    },
    "onchain_anomaly_detection": {
      "enabled": true,
      "model": "wallet_flow+volume_spike+DEX_depth_shift+smart_contract_monitor",
      "inputs": [
        "onchain_tx_volume",
        "wallet_clusters",
        "DEX_liquidity",
        "whale_movements",
        "smart_contract_interactions",
        "gas_price_anomalies",
        "cross_chain_bridge_flows"
      ],
      "outputs": {
        "anomaly_score": 0.0,
        "whale_activity_index": 0.0,
        "liquidity_shift": 0.0,
        "smart_contract_risk_score": 0.0,
        "unusual_contract_calls": []
      },
      "adaptive_thresholds": {
        "pump_alert": {
          "base": 0.65,
          "bull_regime": 0.75,
          "bear_regime": 0.55,
          "method": "rolling_zscore_3std",
          "lookback_window_hours": 168
        },
        "dump_alert": {
          "base": 0.65,
          "bull_regime": 0.55,
          "bear_regime": 0.75,
          "method": "rolling_zscore_3std",
          "lookback_window_hours": 168
        }
      },
      "whale_wallet_tracking": {
        "minimum_wallet_size_usd": 1000000,
        "track_new_whale_wallets": true,
        "monitor_wallet_age": true,
        "detect_wallet_clustering": true,
        "alert_on_coordinated_moves": true
      },
      "notes": "Statistical anomaly detection with rolling baselines and regime-aware thresholds."
    },
    "liquidity_risk_detection": {
      "enabled": true,
      "description": "NEW MODULE: Detects rug pull patterns and liquidity manipulation",
      "model": "liquidity_depth+LP_token_tracking+removal_pattern_analysis",
      "inputs": [
        "DEX_liquidity_depth",
        "LP_token_supply",
        "LP_token_holder_distribution",
        "liquidity_add_remove_history",
        "token_contract_ownership",
        "timelock_status"
      ],
      "outputs": {
        "rug_pull_risk_score": 0.0,
        "liquidity_stability_index": 0.0,
        "LP_concentration_ratio": 0.0,
        "liquidity_removal_velocity": 0.0,
        "contract_ownership_risk": 0.0
      },
      "risk_indicators": {
        "high_lp_concentration": {
          "threshold": 0.7,
          "description": "Single holder controls >70% LP tokens"
        },
        "rapid_liquidity_removal": {
          "threshold_percent_per_hour": 15,
          "description": "Liquidity removed faster than 15% per hour"
        },
        "no_timelock": {
          "risk_multiplier": 2.0,
          "description": "Contract has no liquidity timelock"
        },
        "migrated_liquidity": {
          "alert": true,
          "description": "Liquidity moved to different pool"
        }
      },
      "alert_thresholds": {
        "critical_rug_risk": 0.8,
        "high_rug_risk": 0.6,
        "medium_rug_risk": 0.4
      }
    },
    "smart_contract_monitoring": {
      "enabled": true,
      "description": "NEW MODULE: Monitors smart contract security and unusual behavior",
      "inputs": [
        "contract_function_calls",
        "contract_ownership_changes",
        "proxy_contract_upgrades",
        "mint_burn_events",
        "pause_unpause_events",
        "whitelist_blacklist_changes"
      ],
      "outputs": {
        "contract_security_score": 0.0,
        "unusual_function_calls": [],
        "ownership_risk_events": [],
        "emergency_function_usage": []
      },
      "monitored_events": {
        "ownership_transfer": {
          "severity": "high",
          "auto_alert": true
        },
        "proxy_upgrade": {
          "severity": "critical",
          "require_code_diff": true
        },
        "emergency_pause": {
          "severity": "high",
          "correlate_with_narrative": true
        },
        "unexpected_mint": {
          "severity": "critical",
          "compare_to_tokenomics": true
        },
        "blacklist_addition": {
          "severity": "medium",
          "track_pattern": true
        }
      }
    },
    "network_diffusion_detection": {
      "enabled": true,
      "model": "enhanced_graph_analysis+behavioral_bot_detection",
      "graph_metrics": {
        "share_rate_per_min": 0,
        "influencer_overlap_coefficient": 0.0,
        "bot_ratio": 0.0,
        "top_amplifiers": [],
        "network_centrality_score": 0.0,
        "echo_chamber_coefficient": 0.0,
        "organic_vs_coordinated_ratio": 0.0
      },
      "enhanced_bot_detection": {
        "enabled": true,
        "methods": [
          "posting_frequency_analysis",
          "content_similarity_clustering",
          "account_age_distribution",
          "follower_authenticity_check",
          "engagement_pattern_analysis",
          "cross_platform_coordination"
        ],
        "bot_confidence_threshold": 0.7,
        "coordinated_network_threshold": 0.6
      },
      "adaptive_anomaly_thresholds": {
        "share_rate_alert": {
          "base": 150,
          "bull_market": 250,
          "bear_market": 100,
          "method": "percentile_95_rolling_7d"
        },
        "bot_ratio_alert": {
          "base": 0.25,
          "strict_mode": 0.15,
          "description": "Lowered from 0.3 to account for sophisticated bots"
        },
        "amplifier_overlap_alert": {
          "base": 0.5,
          "coordinated_attack_threshold": 0.7
        }
      },
      "notes": "Multi-method bot detection with behavioral analysis and network topology."
    },
    "correlation_network_analysis": {
      "enabled": true,
      "description": "NEW MODULE: Detects coordinated pump/dump across multiple tokens",
      "inputs": [
        "multi_token_price_movements",
        "narrative_timing_correlation",
        "wallet_overlap_analysis",
        "influencer_coordination_patterns"
      ],
      "outputs": {
        "correlated_token_groups": [],
        "coordination_confidence": 0.0,
        "lead_lag_relationships": {},
        "suspected_coordinator_wallets": []
      },
      "detection_patterns": {
        "synchronized_pumps": {
          "time_window_minutes": 15,
          "price_correlation_threshold": 0.8,
          "minimum_tokens_in_group": 3
        },
        "sequential_pumps": {
          "detect_rotation_pattern": true,
          "typical_lag_hours": 24,
          "confidence_threshold": 0.7
        },
        "copycat_narratives": {
          "content_similarity_threshold": 0.85,
          "time_lag_threshold_hours": 6
        }
      }
    },
    "cross_source_validation": {
      "enabled": true,
      "enhanced_rules": [
        "require ≥2 independent confirmations from different source types for strong claim",
        "flag rumor-only narratives as 'unverified' with confidence decay over time",
        "prefer onchain confirmation over social narrative (3x weight)",
        "require official source (exchange/project) for listing/partnership claims",
        "cross-check smart contract events with narrative claims",
        "validate influencer claims against their historical accuracy rate"
      ],
      "source_reliability_tiers": {
        "tier_1_authoritative": {
          "sources": ["official_exchange_announcement", "project_official_channel", "onchain_verified"],
          "confidence_multiplier": 1.0
        },
        "tier_2_credible": {
          "sources": ["established_news_outlet", "verified_influencer_high_trust", "reputable_onchain_analytics"],
          "confidence_multiplier": 0.75
        },
        "tier_3_speculative": {
          "sources": ["unverified_twitter", "telegram_rumors", "new_influencer"],
          "confidence_multiplier": 0.4
        },
        "tier_4_unreliable": {
          "sources": ["anonymous_source", "known_scammer", "frequent_false_caller"],
          "confidence_multiplier": 0.1
        }
      }
    },
    "human_in_the_loop": {
      "enabled": true,
      "tiered_approval_system": {
        "enabled": true,
        "description": "Reduces bottleneck with pre-approved playbooks for common scenarios",
        "tiers": {
          "auto_approved": {
            "conditions": [
              "event_type in pre_approved_playbooks",
              "risk_score < 0.5",
              "historical_pattern_match_confidence > 0.8"
            ],
            "actions_allowed": [
              "log_event",
              "update_dashboard",
              "send_low_priority_alert"
            ],
            "human_notification": "post_action_summary_only"
          },
          "analyst_approval": {
            "conditions": [
              "0.5 <= risk_score < 0.75",
              "medium_confidence_event"
            ],
            "required_roles": ["market_analyst"],
            "timeout_hours": 2,
            "actions_allowed": [
              "publish_market_note",
              "adjust_position_sizing",
              "increase_monitoring_frequency"
            ]
          },
          "multi_approval": {
            "conditions": [
              "risk_score >= 0.75",
              "high_financial_impact",
              "legal_implications_possible"
            ],
            "required_roles": ["market_analyst", "legal_consultant"],
            "timeout_hours": 1,
            "escalation_if_timeout": "director"
          },
          "emergency_override": {
            "enabled": true,
            "authorized_roles": ["director", "risk_manager"],
            "conditions": ["critical_market_event", "system_malfunction"],
            "requires_post_action_review": true
          }
        }
      },
      "escalation_condition": "any module exceeds high_confidence threshold OR unverified rumor gains traction OR liquidity_risk critical",
      "review_roles": [
        "market_analyst",
        "onchain_researcher",
        "legal_consultant",
        "risk_manager",
        "director"
      ],
      "workflow": {
        "auto_tag": true,
        "assign_timeout_hours": 2,
        "required_signoffs_for_public_action": ["market_analyst"],
        "required_signoffs_for_trade_execution": ["market_analyst", "risk_manager"],
        "required_signoffs_for_legal_action": ["legal_consultant", "director"],
        "auto_escalate_on_timeout": true
      },
      "pre_approved_playbooks": {
        "minor_price_movement": {
          "conditions": ["price_change < 10%", "volume_normal", "no_unusual_onchain"],
          "auto_actions": ["log_only"],
          "human_review": false
        },
        "routine_whale_accumulation": {
          "conditions": ["known_whale", "gradual_accumulation", "no_narrative_spike"],
          "auto_actions": ["update_whale_dashboard", "notify_team"],
          "human_review": false
        },
        "false_alarm_pattern": {
          "conditions": ["matches_historical_false_positive_pattern", "low_impact"],
          "auto_actions": ["dismiss_with_log"],
          "human_review": false
        }
      }
    }
  },
  "scoring_and_uncertainty": {
    "dynamic_weight_system": {
      "enabled": true,
      "description": "Weights adapt based on token class and market regime",
      "weight_profiles": {
        "btc_eth_large_cap": {
          "onchain_anomaly_score": 0.40,
          "narrative_sentiment_score": 0.20,
          "source_risk_score": 0.15,
          "diffusion_score": 0.10,
          "provenance_score": 0.10,
          "liquidity_risk_score": 0.05
        },
        "established_altcoins": {
          "onchain_anomaly_score": 0.35,
          "narrative_sentiment_score": 0.25,
          "source_risk_score": 0.15,
          "diffusion_score": 0.15,
          "provenance_score": 0.05,
          "liquidity_risk_score": 0.05
        },
        "meme_coins_low_cap": {
          "onchain_anomaly_score": 0.20,
          "narrative_sentiment_score": 0.35,
          "source_risk_score": 0.10,
          "diffusion_score": 0.20,
          "provenance_score": 0.05,
          "liquidity_risk_score": 0.10
        },
        "new_tokens_unproven": {
          "onchain_anomaly_score": 0.15,
          "narrative_sentiment_score": 0.20,
          "source_risk_score": 0.15,
          "diffusion_score": 0.15,
          "provenance_score": 0.10,
          "liquidity_risk_score": 0.25
        }
      },
      "regime_weight_adjustments": {
        "bull_market": {
          "narrative_sentiment_multiplier": 1.3,
          "onchain_anomaly_multiplier": 0.9
        },
        "bear_market": {
          "narrative_sentiment_multiplier": 1.4,
          "onchain_anomaly_multiplier": 1.2
        },
        "sideways": {
          "onchain_anomaly_multiplier": 1.5,
          "narrative_sentiment_multiplier": 0.7
        }
      }
    },
    "score_components": {
      "onchain_anomaly_score": { 
        "weight": 0.35,
        "adaptive": true,
        "confidence_weighted": true
      },
      "narrative_sentiment_score": { 
        "weight": 0.30,
        "adaptive": true,
        "confidence_weighted": true
      },
      "source_risk_score": { 
        "weight": 0.15,
        "adaptive": true
      },
      "diffusion_score": { 
        "weight": 0.15,
        "adaptive": true
      },
      "provenance_score": { 
        "weight": 0.05,
        "adaptive": true
      },
      "liquidity_risk_score": {
        "weight": 0.05,
        "adaptive": true,
        "critical_override": true,
        "override_threshold": 0.8
      },
      "smart_contract_risk_score": {
        "weight": 0.05,
        "adaptive": true,
        "critical_override": true,
        "override_threshold": 0.85
      }
    },
    "final_risk_score": {
      "mean": 0.0,
      "calculation_method": "confidence_weighted_ensemble",
      "scale": [0, 1],
      "components_breakdown": {},
      "dominant_factor": null,
      "override_applied": false
    },
    "advanced_scoring_methods": {
      "ensemble_models": {
        "enabled": true,
        "models": [
          "linear_weighted_sum",
          "random_forest_classifier",
          "gradient_boosting_regressor",
          "neural_network_ensemble"
        ],
        "aggregation_method": "stacked_generalization",
        "weight_learning": "online_learning_with_decay"
      },
      "non_linear_adjustments": {
        "enabled": true,
        "extreme_value_amplification": {
          "threshold": 0.85,
          "amplification_factor": 1.5,
          "description": "Extreme values get exponential weight increase"
        },
        "interaction_effects": {
          "enabled": true,
          "examples": [
            "high_narrative + high_onchain = super_critical",
            "high_liquidity_risk + whale_dump = emergency"
          ]
        }
      }
    },
    "uncertainty_reporting": {
      "report_ci": 0.95,
      "propagate_model_uncertainty": true,
      "uncertainty_sources": [
        "model_prediction_variance",
        "data_quality_uncertainty",
        "regime_transition_uncertainty",
        "influencer_behavior_unpredictability"
      ],
      "confidence_decay": {
        "enabled": true,
        "decay_function": "exponential",
        "half_life_hours": 24,
        "description": "Older signals lose confidence over time"
      },
      "notes": "Sequential Bayesian updates with posterior recalibration per evidence stream and time-based decay."
    }
  },
  "performance_tracking_and_learning": {
    "enabled": true,
    "description": "NEW MODULE: Continuous learning system to improve accuracy",
    "tracked_metrics": {
      "prediction_accuracy": {
        "true_positives": 0,
        "false_positives": 0,
        "true_negatives": 0,
        "false_negatives": 0,
        "precision": 0.0,
        "recall": 0.0,
        "f1_score": 0.0
      },
      "alert_performance": {
        "alerts_issued": 0,
        "alerts_confirmed": 0,
        "alerts_false": 0,
        "average_lead_time_hours": 0.0,
        "missed_events": 0
      },
      "financial_impact": {
        "profitable_signals": 0,
        "loss_signals": 0,
        "average_roi_per_signal": 0.0,
        "sharpe_ratio": 0.0
      }
    },
    "auto_recalibration": {
      "enabled": true,
      "recalibration_frequency": "weekly",
      "methods": [
        "threshold_optimization_via_roc_curve",
        "weight_adjustment_via_gradient_descent",
        "regime_detection_refinement",
        "false_positive_pattern_learning"
      ],
      "minimum_samples_for_recalibration": 50,
      "backtesting_before_deployment": true
    },
    "feedback_loop": {
      "enabled": true,
      "manual_feedback": {
        "allow_analyst_corrections": true,
        "correction_weight": 2.0,
        "description": "Human corrections get 2x weight in learning"
      },
      "automatic_feedback": {
        "track_price_outcome": true,
        "track_narrative_outcome": true,
        "track_liquidity_outcome": true,
        "outcome_verification_delay_hours": 48
      }
    },
    "model_versioning": {
      "enabled": true,
      "track_model_performance_by_version": true,
      "rollback_on_performance_degradation": true,
      "degradation_threshold": "f1_score_drop > 10%"
    }
  },
  "alert_levels": {
    "LOW": {
      "range": [0.0, 0.30],
      "recommended_actions": [
        "monitor_market",
        "log_event",
        "update_dashboard"
      ],
      "notification_channels": ["internal_log"],
      "approval_required": false
    },
    "MEDIUM": {
      "range": [0.31, 0.60],
      "recommended_actions": [
        "escalate_to_HITL",
        "verify_sources",
        "prepare_draft_report",
        "increase_monitoring_frequency",
        "check_correlation_with_other_tokens"
      ],
      "notification_channels": ["internal_log", "team_slack"],
      "approval_required": "analyst_tier"
    },
    "HIGH": {
      "range": [0.61, 0.85],
      "recommended_actions": [
        "publish_market_note",
        "prepare_exit_or_entry_plan",
        "cross_check_onchain_data",
        "alert_portfolio_managers",
        "activate_scenario_playbook",
        "increase_position_monitoring"
      ],
      "notification_channels": ["internal_log", "team_slack", "sms_key_personnel"],
      "required_signoffs": ["market_analyst"],
      "max_response_time_minutes": 30
    },
    "CRITICAL": {
      "range": [0.86, 1.0],
      "recommended_actions": [
        "execute_predefined_trade_action",
        "notify_all_stakeholders",
        "publish_public_verification_notice",
        "freeze_new_entries_if_rug_risk",
        "activate_emergency_protocol",
        "legal_team_standby",
        "prepare_incident_report"
      ],
      "notification_channels": ["internal_log", "team_slack", "sms_key_personnel", "emergency_call"],
      "required_signoffs": ["market_analyst", "risk_manager"],
      "max_response_time_minutes": 15,
      "auto_execute_if_timeout": false,
      "requires_post_action_review": true
    },
    "EMERGENCY_OVERRIDE": {
      "description": "NEW: For extreme black swan events",
      "range": [0.95, 1.0],
      "conditions": [
        "multiple_critical_signals_simultaneous",
        "exchange_hack_suspected",
        "regulatory_emergency",
        "smart_contract_exploit_confirmed"
      ],
      "recommended_actions": [
        "halt_all_automated_trading",
        "notify_director_immediately",
        "activate_disaster_recovery",
        "legal_compliance_review"
      ],
      "bypass_normal_approval": true,
      "authorized_override_roles": ["director", "risk_manager"]
    }
  },
  "playbooks": {
    "COORDINATED_FUD_ALERT": {
      "trigger_condition": "narrative_sentiment_score.mean <= -0.7 AND diffusion.share_rate_per_min >= 150 AND bot_ratio > 0.25",
      "severity": "HIGH",
      "immediate_actions": [
        "tag_event_as_coordinated_FUD",
        "issue_internal_alert",
        "identify_fud_originators",
        "check_short_interest_increase",
        "analyze_bot_network_structure",
        "run_sentiment_reversal_backtest"
      ],
      "24h_actions": [
        "monitor_rebound_signal",
        "prepare_counter_narrative_strategy",
        "track_fud_effectiveness",
        "update_fud_pattern_database"
      ],
      "success_criteria": {
        "sentiment_stabilization": "score > -0.4 within 48h",
        "narrative_shift_detected": true
      }
    },
    "HYPE_PUMP_ALERT": {
      "trigger_condition": "narrative_sentiment_score.mean >= 0.7 AND onchain_anomaly_score >= 0.65 AND NOT in pre_approved_positive_events",
      "severity": "HIGH",
      "actions": [
        "check_whale_wallet_flow_direction",
        "analyze_liquidity_shift_velocity",
        "verify_hype_claim_legitimacy",
        "compare_to_historical_pump_patterns",
        "prepare_risk_mitigation_strategy",
        "set_exit_price_targets",
        "monitor_for_dump_signals"
      ],
      "risk_mitigation": {
        "reduce_position_size": "if unverified_hype",
        "set_tight_stop_loss": true,
        "increase_monitoring_to_realtime": true
      }
    },
    "ONCHAIN_WHALE_MOVE": {
      "trigger_condition": "whale_activity_index >= 0.8 OR coordinated_whale_movement_detected",
      "severity": "MEDIUM",
      "actions": [
        "update_whale_dashboard",
        "send_alert_to_trading_team",
        "correlate_with_sentiment_trend",
        "identify_whale_wallet_history",
        "predict_next_move_probability",
        "check_if_accumulation_or_distribution",
        "monitor_exchange_inflow_outflow"
      ],
      "analysis_depth": {
        "track_wallet_age": true,
        "check_past_behavior_pattern": true,
        "correlate_with_market_regime": true,
        "estimate_price_impact": true
      },
      "follow_up": {
        "if_accumulation": "potential_bullish_signal",
        "if_distribution": "potential_bearish_signal",
        "if_exchange_deposit": "high_probability_dump_signal",
        "if_exchange_withdrawal": "potential_long_term_hold"
      }
    },
    "LIQUIDITY_RUG_PULL_ALERT": {
      "trigger_condition": "liquidity_risk_score >= 0.8 OR rapid_liquidity_removal_detected",
      "severity": "CRITICAL",
      "immediate_actions": [
        "freeze_new_position_entries",
        "alert_holders_immediately",
        "document_all_onchain_evidence",
        "capture_contract_state_snapshot",
        "notify_security_researchers",
        "prepare_legal_documentation",
        "contact_exchange_security_teams"
      ],
      "evidence_collection": {
        "screenshot_liquidity_pool": true,
        "record_transaction_hashes": true,
        "identify_beneficiary_wallets": true,
        "trace_fund_movement": true,
        "preserve_social_media_claims": true
      },
      "communication": {
        "public_warning": "if_confidence > 0.9",
        "private_alert_to_holders": true,
        "report_to_authorities": "if_amount > $100k"
      }
    },
    "SMART_CONTRACT_EXPLOIT": {
      "trigger_condition": "smart_contract_risk_score >= 0.85 OR unusual_contract_behavior_detected",
      "severity": "CRITICAL",
      "immediate_actions": [
        "identify_exploit_type",
        "estimate_funds_at_risk",
        "alert_protocol_team",
        "monitor_attacker_wallets",
        "check_if_white_hat_or_black_hat",
        "prepare_emergency_response",
        "notify_affected_users"
      ],
      "technical_analysis": {
        "analyze_exploit_transactions": true,
        "identify_vulnerability_source": true,
        "check_if_other_contracts_affected": true,
        "estimate_total_exposure": true
      }
    },
    "EXCHANGE_LISTING_RUMOR": {
      "trigger_condition": "narrative contains 'listing' AND source_risk_score indicates speculation",
      "severity": "MEDIUM",
      "verification_steps": [
        "check_official_exchange_announcements",
        "verify_with_project_official_channels",
        "analyze_historical_accuracy_of_source",
        "check_onchain_for_exchange_wallet_activity",
        "monitor_for_insider_trading_patterns"
      ],
      "actions_if_unverified": {
        "tag_as_speculation": true,
        "reduce_confidence_weight": 0.4,
        "warn_against_FOMO_trading": true,
        "monitor_for_pump_dump_pattern": true
      },
      "actions_if_verified": {
        "update_to_confirmed_status": true,
        "analyze_listing_price_impact": true,
        "prepare_trading_strategy": true
      }
    },
    "MARKET_REGIME_SHIFT": {
      "trigger_condition": "regime_transition_probability > 0.7 OR sustained_trend_reversal",
      "severity": "HIGH",
      "actions": [
        "recalculate_all_adaptive_thresholds",
        "reweight_scoring_components",
        "update_strategy_parameters",
        "notify_portfolio_managers",
        "review_open_positions",
        "adjust_risk_parameters"
      ],
      "regime_specific_adjustments": {
        "bull_to_bear": {
          "increase_fud_sensitivity": true,
          "tighten_stop_losses": true,
          "reduce_position_sizes": true
        },
        "bear_to_bull": {
          "increase_hype_effectiveness_weight": true,
          "prepare_entry_opportunities": true,
          "relax_risk_parameters": "gradually"
        },
        "to_high_volatility": {
          "increase_human_oversight": true,
          "reduce_automated_actions": true,
          "widen_stop_loss_ranges": true
        }
      }
    },
    "CORRELATED_MULTI_TOKEN_PUMP": {
      "trigger_condition": "correlation_network_analysis detects synchronized_pump across >= 3 tokens",
      "severity": "HIGH",
      "analysis": [
        "identify_coordinating_wallets",
        "map_token_relationship_network",
        "estimate_manipulation_probability",
        "predict_next_target_tokens",
        "calculate_total_coordinated_capital"
      ],
      "actions": [
        "alert_on_coordinated_scheme",
        "warn_against_FOMO_entry",
        "monitor_for_sequential_dump",
        "prepare_exit_strategy_for_holders",
        "document_manipulation_evidence"
      ]
    },
    "FALSE_POSITIVE_LEARNING": {
      "trigger_condition": "alert_confirmed = false AND alert_level >= MEDIUM",
      "severity": "LOW",
      "actions": [
        "log_false_positive_pattern",
        "analyze_what_triggered_false_alert",
        "adjust_threshold_if_needed",
        "update_pattern_recognition_model",
        "add_to_known_false_positive_database"
      ],
      "continuous_improvement": {
        "track_false_positive_rate_by_category": true,
        "identify_common_false_trigger_patterns": true,
        "implement_filters_for_known_false_patterns": true
      }
    }
  },
  "actor_map": {
    "whales": {
      "behaviors": ["accumulate", "dump", "front_run", "wash_trade", "market_make"],
      "risk_profile": "high",
      "typical_wallet_size": "> $1M",
      "detection_methods": [
        "wallet_size_tracking",
        "transaction_pattern_analysis",
        "exchange_flow_monitoring"
      ],
      "behavioral_predictors": {
        "accumulation_phase_indicators": [
          "gradual_buying_over_days",
          "OTC_purchases",
          "exchange_withdrawals"
        ],
        "distribution_phase_indicators": [
          "exchange_deposits_increasing",
          "large_sell_orders_appearing",
          "liquidity_testing"
        ]
      }
    },
    "retail_traders": {
      "behaviors": ["FOMO_buy", "panic_sell", "follow_influencers", "chase_pumps"],
      "risk_profile": "volatile",
      "typical_position_size": "< $10k",
      "sentiment_sensitivity": "very_high",
      "behavioral_characteristics": {
        "buy_triggers": ["price_breakout", "influencer_shill", "fomo_narrative"],
        "sell_triggers": ["price_drop", "fud_campaign", "stop_loss_cascade"]
      }
    },
    "influencers": {
      "behaviors": ["amplify_narrative", "paid_shill", "pump_coordination", "genuine_analysis"],
      "risk_profile": "medium",
      "trust_decay_applied": true,
      "categorization": {
        "high_trust": {
          "criteria": "accuracy_rate > 70% over 50+ calls",
          "impact_multiplier": 1.5
        },
        "medium_trust": {
          "criteria": "accuracy_rate 50-70%",
          "impact_multiplier": 1.0
        },
        "low_trust": {
          "criteria": "accuracy_rate < 50% OR history_of_shilling",
          "impact_multiplier": 0.3
        },
        "untrusted": {
          "criteria": "confirmed_scammer OR paid_shill_only",
          "impact_multiplier": 0.0,
          "flag_for_monitoring": true
        }
      },
      "disclosure_tracking": {
        "track_paid_partnerships": true,
        "flag_undisclosed_promotion": true,
        "penalty_for_non_disclosure": 0.5
      }
    },
    "dev_teams": {
      "behaviors": ["announce", "delay", "deny", "abandon", "rug_pull", "genuine_build"],
      "risk_profile": "variable",
      "trust_factors": [
        "team_doxxed",
        "previous_successful_projects",
        "github_activity",
        "audit_status",
        "token_vesting_schedule"
      ],
      "red_flags": [
        "anonymous_team",
        "no_github_activity",
        "unrealistic_promises",
        "copied_whitepaper",
        "no_token_lock"
      ]
    },
    "exchanges": {
      "behaviors": ["list", "delist", "halt", "maintenance", "hack_victim"],
      "risk_profile": "systemic",
      "impact_level": "very_high",
      "monitoring": {
        "track_listing_announcements": true,
        "monitor_withdrawal_issues": true,
        "detect_unusual_downtime": true,
        "alert_on_security_breaches": true
      },
      "exchange_reliability_tiers": {
        "tier_1": {
          "examples": ["Binance", "Coinbase", "Kraken"],
          "listing_impact_multiplier": 1.5,
          "trust_score": 0.9
        },
        "tier_2": {
          "examples": ["KuCoin", "Bybit", "OKX"],
          "listing_impact_multiplier": 1.2,
          "trust_score": 0.75
        },
        "tier_3": {
          "examples": ["smaller_regional_exchanges"],
          "listing_impact_multiplier": 0.8,
          "trust_score": 0.5
        }
      }
    },
    "adversarial_entities": {
      "behaviors": [
        "fake_announcement",
        "token_impersonation",
        "phishing_campaigns",
        "front_running_bots",
        "MEV_extraction",
        "sandwich_attacks"
      ],
      "risk_profile": "very_high",
      "detection_priority": "critical",
      "countermeasures": {
        "verify_all_official_announcements": true,
        "check_token_contract_authenticity": true,
        "monitor_phishing_domains": true,
        "detect_mev_bot_activity": true,
        "alert_on_impersonation_attempts": true
      }
    },
    "market_makers": {
      "behaviors": ["provide_liquidity", "arbitrage", "stabilize_price", "manipulate_order_book"],
      "risk_profile": "medium",
      "detection": {
        "identify_mm_wallets": true,
        "distinguish_legitimate_vs_manipulation": true,
        "monitor_wash_trading_patterns": true
      }
    },
    "institutions": {
      "behaviors": ["accumulate_long_term", "OTC_trades", "custody_solutions", "index_rebalancing"],
      "risk_profile": "low_volatility_high_impact",
      "detection": {
        "track_custody_wallet_flows": true,
        "monitor_OTC_desk_activity": true,
        "detect_institutional_accumulation": true
      }
    }
  },
  "pattern_detection": [
    {
      "theme": "pump_and_dump",
      "confidence": 0.84,
      "reinforcing_loop": true,
      "typical_duration": "hours_to_days",
      "key_indicators": [
        "coordinated_social_media_campaign",
        "whale_accumulation_then_dump",
        "retail_fomo_spike",
        "sudden_liquidity_removal"
      ],
      "historical_accuracy": 0.78
    },
    {
      "theme": "exchange_listing_rumor",
      "confidence": 0.78,
      "reinforcing_loop": true,
      "typical_duration": "days_to_weeks",
      "verification_rate": 0.35,
      "false_rumor_characteristics": [
        "anonymous_source_only",
        "no_onchain_confirmation",
        "timing_coincides_with_price_pump"
      ]
    },
    {
      "theme": "influencer_coordination",
      "confidence": 0.69,
      "balancing_loop": false,
      "detection_signals": [
        "simultaneous_posting_within_15min",
        "identical_or_similar_messaging",
        "coordinated_hashtag_usage",
        "shared_wallet_connections"
      ]
    },
    {
      "theme": "whale_accumulation_to_distribution",
      "confidence": 0.81,
      "typical_phases": [
        "silent_accumulation_phase",
        "narrative_building_phase",
        "retail_fomo_phase",
        "distribution_to_retail_phase",
        "post_dump_silence"
      ]
    },
    {
      "theme": "rug_pull_preparation",
      "confidence": 0.88,
      "early_warning_signals": [
        "dev_wallet_testing_liquidity_removal",
        "sudden_marketing_push",
        "unrealistic_promises",
        "anonymous_team_going_silent",
        "contract_ownership_transfer_preparation"
      ]
    },
    {
      "theme": "legitimate_organic_growth",
      "confidence": 0.72,
      "characteristics": [
        "steady_user_growth",
        "consistent_github_activity",
        "transparent_team_communication",
        "gradual_price_appreciation",
        "healthy_liquidity_growth"
      ],
      "differentiation_from_manipulation": "sustained_fundamentals_improvement"
    }
  ],
  "structure_analysis": {
    "level_1_immediate_causes": [
      "viral rumor tweet",
      "whale inflow on DEX",
      "influencer retweet spike",
      "exchange listing announcement",
      "smart contract exploit",
      "sudden liquidity removal",
      "coordinated buy orders"
    ],
    "level_2_contributing_causes": [
      "thin liquidity pools",
      "high retail leverage",
      "sentiment echo chamber",
      "lack of fundamental analysis",
      "FOMO psychology",
      "information asymmetry",
      "bot amplification networks"
    ],
    "level_3_root_causes": [
      "narrative-driven speculation culture",
      "asymmetric information distribution",
      "social amplification bias",
      "lack of investor education",
      "regulatory grey zones",
      "get_rich_quick mentality",
      "market structure inefficiencies"
    ],
    "systemic_factors": {
      "market_microstructure": [
        "fragmented_liquidity_across_dexes",
        "lack_of_circuit_breakers",
        "24_7_trading_fatigue",
        "low_barriers_to_token_creation"
      ],
      "behavioral_factors": [
        "herd_mentality",
        "confirmation_bias",
        "recency_bias",
        "availability_heuristic"
      ],
      "technological_factors": [
        "bot_trading_prevalence",
        "mev_extraction",
        "front_running_capability",
        "anonymous_smart_contracts"
      ]
    }
  },
  "simulated_outcomes": {
    "methodology": "monte_carlo_with_regime_awareness",
    "simulation_runs": 10000,
    "confidence_interval": 0.95,
    "scenarios": {
      "if_rumor_confirmed": {
        "predicted_price_surge_mean": 0.35,
        "predicted_price_surge_ci": [0.20, 0.55],
        "predicted_diffusion_multiplier_24h": 2.5,
        "retail_fomo_probability": 0.8,
        "whale_profit_taking_timing": "24-72h_post_confirmation"
      },
      "if_rumor_denied": {
        "predicted_price_drop_mean": 0.42,
        "predicted_price_drop_ci": [0.30, 0.60],
        "predicted_sentiment_reversal": -0.7,
        "panic_sell_probability": 0.65,
        "recovery_time_estimate": "7-14_days"
      },
      "if_whales_sell": {
        "predicted_liquidity_shock": 0.8,
        "predicted_slippage_increase": 3.5,
        "next_phase": "dump_cycle",
        "retail_capitulation_probability": 0.7,
        "estimated_bottom_timing": "12-48h_post_dump"
      },
      "if_rug_pull_executed": {
        "predicted_price_crash": 0.95,
        "recovery_probability": 0.05,
        "legal_action_probability": 0.3,
        "reputational_damage_to_similar_projects": "high"
      },
      "if_legitimate_listing": {
        "initial_pump_magnitude": 0.40,
        "sustainable_price_level_post_pump": 0.20,
        "increased_liquidity_multiplier": 3.0,
        "long_term_holder_increase": 0.25
      },
      "if_coordinated_fud_attack": {
        "initial_panic_drop": 0.25,
        "bottom_timing": "4-12h",
        "recovery_if_fud_debunked": 0.80,
        "lasting_sentiment_damage": 0.15
      }
    },
    "regime_impact_on_outcomes": {
      "bull_market_amplification": 1.5,
      "bear_market_dampening": 0.6,
      "sideways_minimal_impact": 0.8
    }
  },
  "risk_mitigation_strategies": {
    "portfolio_level": {
      "position_sizing_rules": {
        "low_risk_score": "max_5_percent_portfolio",
        "medium_risk_score": "max_3_percent_portfolio",
        "high_risk_score": "max_1_percent_portfolio",
        "critical_risk_score": "no_new_positions"
      },
      "stop_loss_rules": {
        "adaptive": true,
        "regime_based": true,
        "bull_market_stop": "15_percent_below_entry",
        "bear_market_stop": "10_percent_below_entry",
        "high_volatility_stop": "20_percent_below_entry"
      },
      "diversification_requirements": {
        "max_single_token_exposure": 0.15,
        "max_ecosystem_exposure": 0.40,
        "min_number_of_tokens": 8
      }
    },
    "signal_level": {
      "confidence_based_action": {
        "high_confidence_signal": "full_position_size",
        "medium_confidence_signal": "half_position_size",
        "low_confidence_signal": "watch_list_only"
      },
      "time_based_validation": {
        "wait_for_confirmation_period": "4-24h",
        "increase_position_if_signal_persists": true,
        "exit_if_signal_reverses_quickly": true
      }
    },
    "system_level": {
      "circuit_breakers": {
        "max_daily_drawdown_alert": 0.10,
        "halt_trading_if_drawdown": 0.15,
        "max_consecutive_losses": 5,
        "cool_down_period_after_halt": "24h"
      },
      "kill_switches": {
        "manual_override": true,
        "automatic_on_system_malfunction": true,
        "automatic_on_extreme_volatility": true
      }
    }
  },
  "data_sources_and_reliability": {
    "onchain_data_providers": {
      "primary": [
        "Dune Analytics",
        "Nansen",
        "Arkham Intelligence"
      ],
      "secondary": [
        "Etherscan API",
        "Solscan API",
        "blockchain_node_direct"
      ],
      "redundancy": "multi_provider_cross_validation",
      "data_freshness_requirement": "< 1_minute_lag",
      "fallback_on_provider_failure": true
    },
    "social_media_apis": {
      "X_twitter": {
        "rate_limit_handling": "request_queuing",
        "backup_scraping": "if_api_unavailable",
        "data_freshness": "real_time_stream"
      },
      "telegram": {
        "channel_monitoring": "via_bot",
        "message_archival": true
      },
      "discord": {
        "server_monitoring": "authorized_channels_only",
        "respect_privacy": true
      }
    },
    "data_quality_assurance": {
      "validation_checks": [
        "outlier_detection",
        "consistency_checks",
        "timestamp_validation",
        "source_authentication"
      ],
      "data_cleaning": {
        "remove_duplicates": true,
        "normalize_formats": true,
        "handle_missing_values": "interpolation_or_flagging"
      }
    }
  },
  "provenance_and_audit": {
    "evidence_log": [],
    "required_fields": [
      "source_id",
      "timestamp_utc",
      "collector_id",
      "data_hash_sha256",
      "chain_of_custody",
      "modification_history",
      "access_log"
    ],
    "audit_trail_enabled": true,
    "immutable_logging": {
      "enabled": true,
      "technology": "append_only_database",
      "tamper_detection": true
    },
    "retention_policy": {
      "raw_data": "90_days",
      "processed_signals": "365_days",
      "audit_logs": "indefinite",
      "anonymization_after": "180_days"
    },
    "compliance": {
      "gdpr_compliant": true,
      "data_minimization": true,
      "right_to_erasure": "supported_with_exceptions",
      "encryption_at_rest": true,
      "encryption_in_transit": "TLS_1.3"
    }
  },
  "ethics_and_access": {
    "access_roles": {
      "viewer": {
        "permissions": ["read_dashboards", "view_public_alerts"],
        "roles": ["junior_analyst", "intern"]
      },
      "editor": {
        "permissions": ["read_all", "create_reports", "adjust_parameters"],
        "roles": ["market_researcher", "data_scientist"]
      },
      "approver": {
        "permissions": ["read_all", "approve_actions", "publish_alerts"],
        "roles": ["market_analyst", "legal_consultant"]
      },
      "admin": {
        "permissions": ["full_access", "system_configuration", "user_management"],
        "roles": ["director", "cto"]
      },
      "emergency": {
        "permissions": ["override_all", "emergency_shutdown"],
        "roles": ["director", "risk_manager"],
        "requires_mfa": true,
        "logged_with_justification": true
      }
    },
    "use_restrictions": [
      "no_financial_action_based_on_unverified_data",
      "no_automated_trading_above_critical_threshold_without_approval",
      "store_minimal_user_data",
      "log_every_manual_intervention",
      "no_public_disclosure_without_legal_review",
      "no_market_manipulation",
      "respect_insider_trading_laws"
    ],
    "ethical_guidelines": {
      "principles": [
        "transparency_in_methodology",
        "privacy_preservation_by_default",
        "narrative_neutrality_no_bias",
        "fairness_no_preferential_treatment",
        "accountability_for_system_actions",
        "beneficence_act_in_users_best_interest",
        "non_maleficence_do_no_harm"
      ],
      "conflicts_of_interest": {
        "disclosure_required": true,
        "no_self_trading_on_signals": true,
        "chinese_wall_between_analysis_and_trading": true
      }
    },
    "responsible_disclosure": {
      "vulnerability_reporting": {
        "accept_external_reports": true,
        "reward_program": "bug_bounty",
        "response_time_sla": "48h"
      },
      "market_manipulation_reporting": {
        "report_to_authorities_if_threshold": "$500k_impact",
        "coordinate_with_exchanges": true,
        "public_warning_if_critical": true
      }
    }
  },
  "system_monitoring_and_health": {
    "uptime_requirements": {
      "target_uptime": "99.9_percent",
      "maximum_downtime_per_month": "43_minutes",
      "scheduled_maintenance_window": "sunday_0200_0400_utc"
    },
    "performance_metrics": {
      "api_response_time": "< 500ms_p95",
      "alert_generation_latency": "< 5_seconds",
      "data_pipeline_lag": "< 1_minute",
      "dashboard_load_time": "< 2_seconds"
    },
    "health_checks": {
      "frequency": "every_60_seconds",
      "components_monitored": [
        "data_ingestion_pipeline",
        "ml_model_inference",
        "database_connectivity",
        "external_api_availability",
        "alert_delivery_system"
      ],
      "auto_recovery": {
        "enabled": true,
        "max_recovery_attempts": 3,
        "escalate_if_failed": true
      }
    },
    "disaster_recovery": {
      "backup_frequency": "hourly_incremental_daily_full",
      "backup_retention": "30_days",
      "rpo_recovery_point_objective": "15_minutes",
      "rto_recovery_time_objective": "1_hour",
      "failover_system": {
        "enabled": true,
        "geographic_redundancy": true,
        "automatic_failover": true
      }
    }
  },
  "future_enhancements_roadmap": {
    "q4_2025": [
      "implement_sentiment_analysis_for_chinese_social_media",
      "add_nft_market_manipulation_detection",
      "integrate_macro_economic_indicators",
      "enhance_cross_chain_tracking"
    ],
    "q1_2026": [
      "develop_predictive_price_models",
      "implement_real_time_portfolio_optimization",
      "add_defi_protocol_risk_scoring",
      "integrate_regulatory_news_monitoring"
    ],
    "q2_2026": [
      "launch_mobile_alert_application",
      "implement_voice_based_query_interface",
      "add_collaborative_filtering_for_signal_validation",
      "develop_automated_trading_execution_module_with_safeguards"
    ],
    "research_and_development": [
      "explore_llm_for_narrative_understanding",
      "investigate_graph_neural_networks_for_wallet_clustering",
      "research_quantum_resistant_encryption",
      "prototype_decentralized_signal_verification_system"
    ]
  },
  "disclaimers_and_limitations": {
    "not_financial_advice": "This system provides intelligence and analysis only. All trading decisions are user's responsibility.",
    "no_guarantee_of_accuracy": "Past performance does not guarantee future results. System may produce false signals.",
    "market_unpredictability": "Crypto markets can exhibit extreme volatility and black swan events that models cannot predict.",
    "regulatory_uncertainty": "Regulatory changes can impact validity of signals and system operation.",
    "technical_limitations": [
      "data_provider_dependencies",
      "api_rate_limits",
      "model_training_data_bias",
      "computational_resource_constraints"
    ],
    "known_blindspots": [
      "private_otc_transactions_invisible",
      "sophisticated_wash_trading_may_evade_detection",
      "novel_manipulation_tactics_not_in_training_data",
      "low_liquidity_tokens_may_have_unreliable_signals"
    ],
    "user_responsibilities": [
      "conduct_own_due_diligence",
      "understand_risk_of_crypto_trading",
      "comply_with_local_regulations",
      "never_invest_more_than_you_can_afford_to_lose",
      "verify_system_signals_independently"
    ]
  }
}

🎉 Summary of Major Improvements
✅ Added Modules

Market Regime Detection - Dynamic adaptation to bull/bear/sideways markets
Liquidity Risk Detection - Rug pull prevention
Smart Contract Monitoring - Exploit detection
Correlation Network Analysis - Multi-token manipulation detection
Performance Tracking & Learning - Continuous improvement system

✅ Enhanced Existing Systems

Adaptive Thresholds - No more arbitrary numbers, percentile-based with regime awareness
Dynamic Weight System - Different weights for BTC vs MEME coins
Enhanced Bot Detection - Behavioral analysis, not just ratio
Tiered HITL Approval - Reduces bottleneck with pre-approved playbooks
Influencer Trust Decay - Trust score updates automatically

✅ Improved Scoring

Confidence-weighted ensemble instead of simple linear sum
Non-linear adjustments for extreme values
Interaction effects (e.g., high narrative + high on-chain = super critical)
Critical override for liquidity risk and smart contract exploits

✅ Added Critical Infrastructure

Data source redundancy with fallback mechanisms
Disaster recovery with 1-hour RTO
Performance monitoring with SLAs
Compliance framework (GDPR, encryption, audit trails)

✅ New Playbooks

Liquidity Rug Pull Alert
Smart Contract Exploit
Market Regime Shift
Correlated Multi-Token Pump
False Positive Learning