{
  "_meta": {
    "source": "Athena Index — athenaindex.com",
    "description": "Sample entity credibility records. Representative data only — not a complete export.",
    "methodology_version": "v1.23",
    "generated_at": "2026-05-16T00:00:00Z",
    "pillar_weights": {
      "outcome_alignment": 0.22,
      "specificity_quality": 0.20,
      "consistency": 0.15,
      "transparency": 0.15,
      "accountability": 0.15,
      "calibration": 0.13
    },
    "score_range": "0–100 (higher = more credible behavioral track record)",
    "confidence_levels": ["high", "medium", "low", "minimal"],
    "full_api": "https://athena-backend-api-872259245712.us-central1.run.app/api/v1/influencers"
  },
  "entities": [
    {
      "id": "e1a00001-0000-0000-0000-000000000001",
      "display_name": "Alpha Macro Research",
      "slug": "AlphaMacroResearch",
      "subscriber_count": 520000,
      "total_claims": 418,
      "evaluated_claims": 231,
      "credibility_score": 81,
      "confidence": "high",
      "score_version": "v1.23",
      "pillars": {
        "outcome_alignment": 0.79,
        "calibration": 0.74,
        "consistency": 0.83,
        "specificity_quality": 0.80,
        "transparency": 0.85,
        "accountability": 0.82
      },
      "top_positive_drivers": [
        "High specificity ratio — most claims include asset, direction, and timeframe",
        "Consistent disclosure of paid relationships",
        "Strong acknowledgment of missed calls"
      ],
      "top_negative_drivers": [
        "Overconfidence on altcoin cycle calls"
      ],
      "badges": ["High Specificity", "Transparent", "Accountable"],
      "computed_at": "2026-05-10T00:00:00Z"
    },
    {
      "id": "e1a00002-0000-0000-0000-000000000002",
      "display_name": "Beacon Chain Capital",
      "slug": "BeaconChainCapital",
      "subscriber_count": 210000,
      "total_claims": 204,
      "evaluated_claims": 89,
      "credibility_score": 74,
      "confidence": "medium",
      "score_version": "v1.23",
      "pillars": {
        "outcome_alignment": 0.71,
        "calibration": 0.68,
        "consistency": 0.77,
        "specificity_quality": 0.73,
        "transparency": 0.79,
        "accountability": 0.75
      },
      "top_positive_drivers": [
        "Consistent BTC thesis maintained across 18 months",
        "Source links provided for most data claims"
      ],
      "top_negative_drivers": [
        "Rarely acknowledges missed altcoin targets",
        "Lower confidence calibration on short-term calls"
      ],
      "badges": ["Consistent"],
      "computed_at": "2026-05-10T00:00:00Z"
    },
    {
      "id": "e1a00003-0000-0000-0000-000000000003",
      "display_name": "Crestline Macro",
      "slug": "CrestlineMacro",
      "subscriber_count": 380000,
      "total_claims": 312,
      "evaluated_claims": 148,
      "credibility_score": 68,
      "confidence": "high",
      "score_version": "v1.23",
      "pillars": {
        "outcome_alignment": 0.65,
        "calibration": 0.61,
        "consistency": 0.72,
        "specificity_quality": 0.70,
        "transparency": 0.74,
        "accountability": 0.67
      },
      "top_positive_drivers": [
        "Above-average specificity on macro calls",
        "Transparent about methodology changes"
      ],
      "top_negative_drivers": [
        "Several high-confidence calls that missed significantly",
        "Inconsistent handling of prior predictions when revisiting topics"
      ],
      "badges": [],
      "computed_at": "2026-05-10T00:00:00Z"
    },
    {
      "id": "e1a00004-0000-0000-0000-000000000004",
      "display_name": "Delta Signal Network",
      "slug": "DeltaSignalNetwork",
      "subscriber_count": 95000,
      "total_claims": 156,
      "evaluated_claims": 72,
      "credibility_score": 58,
      "confidence": "medium",
      "score_version": "v1.23",
      "pillars": {
        "outcome_alignment": 0.54,
        "calibration": 0.52,
        "consistency": 0.62,
        "specificity_quality": 0.58,
        "transparency": 0.63,
        "accountability": 0.57
      },
      "top_positive_drivers": [
        "Regular posting cadence improves consistency score"
      ],
      "top_negative_drivers": [
        "High frequency of vague directional claims with no timeframe",
        "Rarely revisits prior calls",
        "Sponsorship disclosures inconsistent"
      ],
      "badges": [],
      "computed_at": "2026-05-10T00:00:00Z"
    },
    {
      "id": "e1a00005-0000-0000-0000-000000000005",
      "display_name": "Echo Ventures Research",
      "slug": "EchoVenturesResearch",
      "subscriber_count": 760000,
      "total_claims": 521,
      "evaluated_claims": 302,
      "credibility_score": 87,
      "confidence": "high",
      "score_version": "v1.23",
      "pillars": {
        "outcome_alignment": 0.84,
        "calibration": 0.81,
        "consistency": 0.89,
        "specificity_quality": 0.88,
        "transparency": 0.90,
        "accountability": 0.86
      },
      "top_positive_drivers": [
        "Highest specificity ratio in dataset — 91% of claims include falsifiable criteria",
        "Proactively issues correction posts when calls miss",
        "Full sponsor disclosure on 100% of sponsored content",
        "Confidence levels well-calibrated to historical accuracy"
      ],
      "top_negative_drivers": [
        "Occasional overconfidence on DeFi protocol calls"
      ],
      "badges": ["Excellent Calibration", "High Specificity", "Transparent", "Accountable", "Consistent"],
      "computed_at": "2026-05-10T00:00:00Z"
    },
    {
      "id": "e1a00006-0000-0000-0000-000000000006",
      "display_name": "Frontier Thesis Fund",
      "slug": "FrontierThesisFund",
      "subscriber_count": 44000,
      "total_claims": 88,
      "evaluated_claims": 31,
      "credibility_score": 46,
      "confidence": "low",
      "score_version": "v1.23",
      "pillars": {
        "outcome_alignment": 0.42,
        "calibration": 0.39,
        "consistency": 0.51,
        "specificity_quality": 0.48,
        "transparency": 0.52,
        "accountability": 0.44
      },
      "top_positive_drivers": [
        "Claims are generally specific with stated timeframes"
      ],
      "top_negative_drivers": [
        "Low hit rate on evaluated directional calls",
        "No public acknowledgment of misses in reviewed period",
        "Potential undisclosed affiliations flagged by consistency signals"
      ],
      "badges": [],
      "computed_at": "2026-05-10T00:00:00Z"
    },
    {
      "id": "e1a00007-0000-0000-0000-000000000007",
      "display_name": "Granite Protocol Analysis",
      "slug": "GraniteProtocolAnalysis",
      "subscriber_count": 130000,
      "total_claims": 178,
      "evaluated_claims": 94,
      "credibility_score": 71,
      "confidence": "high",
      "score_version": "v1.23",
      "pillars": {
        "outcome_alignment": 0.68,
        "calibration": 0.65,
        "consistency": 0.75,
        "specificity_quality": 0.73,
        "transparency": 0.76,
        "accountability": 0.70
      },
      "top_positive_drivers": [
        "Above-average transparency score — links sources on data claims",
        "Consistent publishing behavior over 24 months"
      ],
      "top_negative_drivers": [
        "Mixed calibration — tends to overstate confidence on altcoin calls",
        "Some inconsistency in revisiting prior claims"
      ],
      "badges": ["Consistent"],
      "computed_at": "2026-05-10T00:00:00Z"
    },
    {
      "id": "e1a00008-0000-0000-0000-000000000008",
      "display_name": "Harbor Macro View",
      "slug": "HarborMacroView",
      "subscriber_count": 62000,
      "total_claims": 134,
      "evaluated_claims": 58,
      "credibility_score": 63,
      "confidence": "medium",
      "score_version": "v1.23",
      "pillars": {
        "outcome_alignment": 0.61,
        "calibration": 0.57,
        "consistency": 0.67,
        "specificity_quality": 0.65,
        "transparency": 0.68,
        "accountability": 0.62
      },
      "top_positive_drivers": [
        "Reasonable specificity on BTC-related calls",
        "Improving accountability score over last 90 days"
      ],
      "top_negative_drivers": [
        "Below-average calibration — high stated confidence on many missed calls",
        "Limited correction behavior"
      ],
      "badges": [],
      "computed_at": "2026-05-10T00:00:00Z"
    },
    {
      "id": "e1a00009-0000-0000-0000-000000000009",
      "display_name": "Indigo Research Collective",
      "slug": "IndigoResearchCollective",
      "subscriber_count": 290000,
      "total_claims": 367,
      "evaluated_claims": 201,
      "credibility_score": 76,
      "confidence": "high",
      "score_version": "v1.23",
      "pillars": {
        "outcome_alignment": 0.74,
        "calibration": 0.70,
        "consistency": 0.80,
        "specificity_quality": 0.76,
        "transparency": 0.80,
        "accountability": 0.77
      },
      "top_positive_drivers": [
        "High consistency — stable thesis maintained across multiple market cycles",
        "Strong transparency — discloses all paid partnerships",
        "Good outcome alignment on macro BTC and ETH calls"
      ],
      "top_negative_drivers": [
        "Lower calibration on low-cap altcoin directional calls"
      ],
      "badges": ["Consistent", "Transparent"],
      "computed_at": "2026-05-10T00:00:00Z"
    },
    {
      "id": "e1a00010-0000-0000-0000-000000000010",
      "display_name": "Jade Quant Capital",
      "slug": "JadeQuantCapital",
      "subscriber_count": 185000,
      "total_claims": 243,
      "evaluated_claims": 119,
      "credibility_score": 55,
      "confidence": "medium",
      "score_version": "v1.23",
      "pillars": {
        "outcome_alignment": 0.51,
        "calibration": 0.49,
        "consistency": 0.60,
        "specificity_quality": 0.56,
        "transparency": 0.61,
        "accountability": 0.54
      },
      "top_positive_drivers": [
        "Reasonable publishing consistency",
        "Some improvement in specificity over last 90 days"
      ],
      "top_negative_drivers": [
        "Low outcome alignment — below 52% hit rate on directional calls",
        "High confidence language not matched by historical accuracy",
        "Limited public accountability for missed calls"
      ],
      "badges": [],
      "computed_at": "2026-05-10T00:00:00Z"
    }
  ]
}