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Kalshi Fill-Price Edge Statistics
x402
Kalshi Fill-Price Edge Statistics is a paid API for AI agents from intel.opusai.work, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-01).
Returns historical aggregate statistics on the mean difference between fill price and prevailing quote at time of fill for Kalshi event contracts, grouped by time to resolution
Price / call$0.02
Success—
StatusUnknown
How this service works
Historical measurement dataset for Kalshi event contracts. Records the mean difference between fill price and prevailing quote at time of fill, in cents per contract, grouped by time to resolution, across 147k+ observations. Aggregate and 24-hour lagged; never per-contract, identical for every caller. Observed historical data only. Not trading advice - full notice in response.
Output
A JSON object containing: timestamp of the dataset (as_of), venue name, schema version, a plain-language description of the measure, overall statistics (observation count, percentage of fills with positive edge, mean edge in cents per contract), data lag in hours (24), and per-lifecycle-bucket breakdowns (>365d and 90-365d) each with their own observation count, positive fill percentage, and mean edge in cents.
Example use cases
Evaluate Kalshi execution quality
“Can you pull the current Kalshi fill edge data and tell me what the mean fill-price difference versus prevailing quote is overall, and how it breaks down for contracts more than a year from resolution versus those in the 90-to-365-day bucket?”
Research resting order performance
“I want to understand how resting orders perform on Kalshi — fetch the latest aggregate fill-price edge statistics and tell me what percentage of fills are positive edge and what the average edge is in cents per contract.”
Compare near-term vs long-dated contract execution
“Get me the historical fill-price edge stats for Kalshi contracts so I can compare how edge differs between short-dated events over a year out and those in the 90 to 365 day range — include the observation counts for each bucket.”
Technical details
Endpoint
GEThttps://intel.opusai.work/v1/triad?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need historical aggregate fill-price edge data specifically for Kalshi event contracts, broken down by time to resolution. It is the right choice for market microstructure research, execution quality benchmarking, or understanding resting-order performance on Kalshi — not for live quotes, individual trade data, or other venues. Because data is aggregate and 24-hour lagged, it is not suitable for real-time trading signals.
Side effects
- Non-GET requests may return 405 Method Not Allowed
- Missing or invalid x402 payment header returns 402 Payment Required
- Dataset may be stale if underlying data pipeline is delayed beyond the 24-hour lag
- Response schema version mismatch if caller expects a different triad version
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
Schema · Response
{
"type": "json",
"example": {
"as_of": 1789657567,
"units": "cents per contract",
"venue": "kalshi",
"schema": "triad.v1",
"measure": "Mean observed difference between fill price and the prevailing quote at time of fill, across resting-order executions on the venue, grouped by time to resolution.",
"overall": {
"n": 146982,
"positive_pct": 88.7,
"edge_mean_cents": 8.8
},
"lag_hours": 24,
"edge_by_lifecycle": {
">365d": {
"n": 51894,
"positive_pct": 72.6,
"edge_mean_cents": 6.77
},
"90-365d": {
"n": 95079,
"positive_pct": 97.4,
"edge_mean_cents": 9.92
}
}
}
}Tags
x402
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