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Crypto Strategy Evidence & Track Record
x402
Crypto Strategy Evidence & Track Record is a paid API for AI agents from agentdata-api.sander-van-aard.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Returns historical performance statistics for a crypto trading strategy (and specific coin), including win rate with Wilson confidence interval, return metrics, and ML model status.
Price / call$0.01
Success—
StatusUnknown
How this service works
Historical evidence behind a crypto opportunity: for its strategy (and coin where enough samples exist) the measured populations — detected, blocked, published, expired without entry, completed, wins, losses, time exits — plus win rate over completed outcomes only with a Wilson interval, average/median/total net return, distinct days and coins, ML model evidence status and the measurement window. Real measurements, never fabricated; short windows have wide error bars. Paid per request.
Output
A JSON object containing population counts (detected, blocked, published, expired without entry, completed, wins, losses, time exits), win rate with Wilson confidence interval upper/lower bounds computed over completed outcomes only, average net return, median net return, total net return, number of distinct days and coins in the sample, ML model evidence status, and the measurement window — all derived from real historical measurements, never fabricated.
Example use cases
Vetting a crypto signal before trading
“I've got a crypto opportunity I'm considering — can you fetch the full historical track record for its strategy, including win rate with error bars and average net return, so I can decide if it's worth acting on?”
Comparing strategy reliability across coins
“Pull the historical evidence for this strategy on Bitcoin specifically — I want to see the win/loss breakdown, Wilson confidence interval, and whether the ML model is backed by enough samples.”
Auditing signal quality for a trading bot
“Before my bot takes any positions, check the measured track record for this strategy: how many completed trades are in the window, what's the win rate, and are the error bars narrow enough to trust the numbers?”
Technical details
Endpoint
POSThttps://agentdata-api.sander-van-aard.workers.dev/crypto/evidenceWhen to prefer
Use this endpoint when you need statistically grounded historical performance evidence for a crypto strategy before acting on an opportunity — especially when you want a Wilson-corrected win rate, not just raw counts. Prefer this over simple win/loss tallies when you need confidence intervals and return distribution metrics to assess signal reliability.
Side effects
- Insufficient sample size yields wide Wilson confidence intervals, making the win rate estimate unreliable
- Unknown or unsupported strategy type returns an error or empty evidence object
- Coin-level breakdown unavailable if not enough samples exist for that coin
- Payment not processed correctly returns 402 or authorization error
- Malformed request body or missing required fields returns a validation error
- Measurement window may be short, limiting statistical significance of returned metrics
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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