Athlete Equity

Sponsorship valuation for the modern roster.

Quantify athlete commercial value across performance, audience, and brand alignment. Built for agencies, brands, and rights-holders making eight-figure decisions.

Start free with Athlete EquitySee pricing

How it works

The exact thing your team is trying to call.

Forward 12-month sponsorship-equivalent value per athlete, partitioned by category fit and market. Each contributing KPI ships with a confidence chip.

  • Performance-adjusted commercial valuation
  • Audience composition by age, geography, and category interest
  • Off-field reputation tracking with controversy flags
  • NIL and endorsement comparable benchmarks
  • Team-context and trade-impact simulation

Signal sources

What feeds the athlete equity model.

  • 01NewsAPI sports coveragelive
  • 02Reddit team subredditslive
  • 03Google News RSSlive
  • 04GDELT 2.0live
  • 05League performance feeds and advanced metricsplanned
  • 06Instagram and TikTok engagement panelsplanned
  • 07Google Trends athlete-level searchplanned
  • 08Public endorsement deal registriesplanned
Sample entities tracked:NBA Forward #14EPL Striker #9NFL Quarterback #7

Use cases

What teams actually do with Athlete Equity.

  • Greenlight reviews for athlete equity

    Run scoring on a portfolio of candidates and surface the ones whose athlete equity signals diverge most from their internal narrative.

  • Continuous monitoring

    Subscribe via webhook and receive a payload only when the score crosses a threshold you defined. No dashboards required.

  • Cross-vertical analysis

    Pull the same entity into other verticals to see whether the signals agree or disagree. Disagreement is often where the alpha is.

  • Backtesting before commitment

    Score the last 24 months of decisions against the model and compare hit rates. The calibration_bucket field tells you how much to trust the model in the bands you care about.

API

Calibrated, explainable, ready for production.

Catalogue calls return 40 realistic KPIs grounded in real evidence, each with a confidence chip (high / medium / low / unknown). Every prediction also ships with the nearest historical analogs the model leaned on.

Available via REST and a typed TypeScript SDK.

See full API reference
GET /v1/catalogue/athlete-equity/{entityId} — 40 realistic KPIs
{
  "entityId": "ath_44b21",
  "kpiCountScored": 40,
  "equityUSD12m": 14200000,
  "ci95": [
    11800000,
    16600000
  ],
  "categoryFit": {
    "apparel": 0.88,
    "beverage": 0.62,
    "finance": 0.41,
    "gaming": 0.74
  },
  "kpis": [
    {
      "id": "performance_rating_z",
      "value": 0.09,
      "confidence": "high",
      "citations": 14
    },
    {
      "id": "social_engagement_rate",
      "value": 0.07,
      "confidence": "low",
      "citations": 0
    },
    {
      "id": "team_market_size",
      "value": 0.05,
      "confidence": "high",
      "citations": 6
    },
    {
      "id": "controversy_index",
      "value": -0.04,
      "confidence": "medium",
      "citations": 3
    },
    {
      "id": "playoff_visibility_proj",
      "value": 0.03,
      "confidence": "medium",
      "citations": 2
    }
  ],
  "analogs": [
    "ath_91d40",
    "ath_2c81e",
    "ath_77b09",
    "ath_4f3a1",
    "ath_0e220"
  ],
  "asOf": "2026-05-10T00:00:00Z"
}

Compared to

How Athlete Equity differs from what is already out there.

VendorHow SignalGrid is different
Two CirclesForward equity valuation in dollars, not only reach metrics.
HookitPerformance-adjusted projections, not only social media reach.
Nielsen SportsContinuous public-signal model, not panel-driven retrospective reports.

Try Athlete Equity on your own entities.

Start free during the public beta. We will pre-select athlete equity for you on signup.

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