VotePredictor Elections
2026 US election forecasts with a public accuracy record, plus congressional voting records.
| Endpoint | https://votepredictor.com/api/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 4 tools · grade A (99) · pin ts_d5cd9db04c922444bcd37c04cda58717 · protocol 2025-06-18 |
| First / last listed | 2026-10-25 07:19 UTC / 2026-10-25 07:19 UTC |
| Grade over time | 2026-10-25: A (99), 4 tools |
Is this your server? Own a server? ToolFit hosted watch re-checks it every 24 h ($0.25 per 30 days) or 6 h ($0.60) and sends you an HMAC-signed webhook when its tools or grade change: POST https://api.youraitools.co/toolfit/v1/watch. To opt out, see About & opt-out.
Tools: forecast_race chamber_outlook forecaster_accuracy member_profile
forecast_race | Current VotePredictor forecast for one 2026 US election: win probability, predicted margin, whether it comes from polls or fundamentals, how far it has moved this cycle, and the candidates. Accepts a state name or code ('Ohio', 'OH') or a district ('CA-12'). Returns an explicit refusal for races where a candidate has left the ballot and no forecast is published. params: where*, office* |
chamber_outlook | Who is favoured to control the Senate or House after 2026: control probability, expected seats with an 80% range, how far it has moved since January, and the races that have moved most. params: chamber* |
forecaster_accuracy | How accurate each election forecaster, model, prediction market and pollster has been on resolved races, adjusted for how hard each race was. Use this to answer 'whose election forecast should I trust'. Difficulty adjustment matters: on raw scores whoever rated the safest races wins. params: office, limit |
member_profile | A member of Congress by name or bioguide id: party, state, ideology score, reported net worth from financial disclosures, and the 2026 race for their seat. params: who* |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.