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Backtest Reconcile — Trade P&L Verification
x402
Backtest Reconcile — Trade P&L Verification is a paid API for AI agents from x402.pokt-agent.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Reconciles claimed backtest performance metrics against recomputed figures from raw trade data, flagging mismatches and discrepancies
Price / call$0.01
Success—
StatusUnknown
How this service works
Pay-per-call Korean company due diligence, company ID crosswalk, sanctions screening with Korean name variants, Upbit/Bithumb risk events, HWP to Markdown, business status, business-day calendar, address normalisation, law, rates, filings and more. No account or API key: pay each call in USDC on Base via x402.
Output
A JSON object containing an array of metrics, each with the metric name, the claimed value, the recomputed value, and a verdict (MATCH or MISMATCH), plus a findings array listing any detected discrepancies or anomalies.
Example use cases
Third-party backtest audit
“I received a backtest report from a quant firm claiming 35% annual returns. I have their raw trade-by-trade data as a CSV and they say commission was 0.05% per trade. Can you recompute the metrics and tell me if anything is inflated or mismatched, using a tolerance of 1%?”
Internal strategy QA before live deployment
“Before we go live, I want to verify our backtest results are self-consistent. Initial capital was $50,000, single-position mode was on, commission is 0.1%. Here are the trades and the metrics we reported internally — check if they all reconcile.”
Detecting cherry-picked performance claims
“A trading signal vendor is claiming a net profit of $8,000 from these trades with no commission. Can you recompute from the raw trade list with $10,000 starting capital and zero tolerance to see if their claimed figures actually hold up?”
Technical details
Endpoint
POSThttps://x402.pokt-agent.com/backtest/reconcile?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to independently verify or audit claimed backtest performance metrics against raw trade data — especially when evaluating third-party strategy reports, validating internal QA pipelines, or checking for inflated statistics. It is pay-per-call with no account required, making it ideal for one-off audits. Prefer it over manual spreadsheet checks or general-purpose computation tools when you need a structured verdict with named metric comparisons.
Side effects
- trades array and trades_csv both absent — endpoint cannot recompute without trade data
- claimed metrics object missing — nothing to reconcile against
- commission or initial_capital values inconsistent with trade data leading to divergent recomputation
- malformed CSV format causing parse failure
- tolerance_pct set too tightly causing false MISMATCH verdicts on rounding differences
- payment failure via x402/USDC on Base blocks request before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| trades | array | |
| claimed | object | |
| commission | number | |
| trades_csv | string | |
| tolerance_pct | number | |
| initial_capital | number | |
| single_position | boolean |
Output
Schema · Response
{
"type": "json",
"example": {
"metrics": [
{
"name": "net_profit",
"claimed": 10,
"verdict": "MATCH",
"recomputed": 10
}
],
"findings": []
}
}Tags
x402
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