Celebrity Equity
Quantify talent value with calibration-honest KPIs, not opaque scores.
Track reach, sentiment, and commercial pull for 50,000 public figures with 40 realistic KPIs grounded in real evidence. Surface who is gaining, who is decaying, and how confident the data actually is.
How it works
The exact thing your team is trying to call.
Forward 90-day equity score per talent, blending awareness, favorability, and conversion lift across endorsement categories. Each component KPI carries a confidence chip so thin-evidence talent surfaces honestly.
- Q-score equivalent updated weekly, not annually
- Category fit projection across luxury, sport, beauty, and tech
- Decay alerts when sentiment slope inverts
- Cross-market view spanning North America, India, and EMEA
- Deal benchmarking versus prior comparable signings
Signal sources
What feeds the celebrity equity model.
- 01NewsAPIlive
- 02NewsData.iolive
- 03Redditlive
- 04Wikipedia pageview velocitylive
- 05Google News RSSlive
- 06GDELT 2.0live
- 07Instagram, TikTok, and X follower / engagement panelsplanned
- 08Google Trends search interestplanned
- 09Endorsement contract disclosures from public filingsplanned
Use cases
What teams actually do with Celebrity Equity.
Greenlight reviews for celebrity equity
Run scoring on a portfolio of candidates and surface the ones whose celebrity 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{
"entityId": "tal_2f10c",
"kpiCountScored": 40,
"equityScore": 71.4,
"delta30d": 3.2,
"categoryFit": {
"luxury": 0.81,
"sport": 0.42,
"beauty": 0.69,
"tech": 0.55
},
"kpis": [
{
"id": "press_volume_z",
"value": 1.4,
"confidence": "high",
"citations": 18
},
{
"id": "sentiment_slope_14d",
"value": 0.11,
"confidence": "high",
"citations": 9
},
{
"id": "follower_growth_rate",
"value": 0.05,
"confidence": "low",
"citations": 0
},
{
"id": "controversy_index",
"value": -0.04,
"confidence": "medium",
"citations": 3
}
],
"analogs": [
"tal_91e",
"tal_4d2",
"tal_7bb",
"tal_0c8",
"tal_a31"
],
"asOf": "2026-05-10T00:00:00Z"
}Compared to
How Celebrity Equity differs from what is already out there.
| Vendor | How SignalGrid is different |
|---|---|
| Q Scores | Refresh weekly with public signal, not annual phone surveys. |
| Spotted | Forward-looking equity score, not retrospective placement counts. |
| MVPindex | Cross-market coverage including India and EMEA out of the box. |
Try Celebrity Equity on your own entities.
Start free during the public beta. We will pre-select celebrity equity for you on signup.
Other verticals