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Decimal Record Reconciliation API
x402
Decimal Record Reconciliation API is a paid API for AI agents from gi-evidence-api.sw-video.chatgpt.site, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Reconciles up to 1000 expected vs. actual payment or inventory records by ID using exact six-decimal arithmetic, reporting missing, unexpected, duplicate, and mismatched rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Compare expected and actual decimal records; inspect mismatches, duplicates and totals.
Output
A JSON reconciliation report with a 'decimal-record-reconciliation' kind field, a summary showing the total exception count, and details on which records are missing (in expected but not actual), unexpected (in actual but not expected), duplicated, or mismatched by amount — all computed with exact six-decimal precision.
Example use cases
Daily payment batch audit
“I processed 500 payments today — here's my expected list and the actual list from our processor. Can you reconcile them and tell me which payments are missing, which are unexpected, and which have amount discrepancies?”
Inventory count discrepancy check
“We just finished a warehouse count. I have the expected inventory records and the actual scanned records — both with item IDs and quantities as decimal strings. Can you compare them and flag anything missing, extra, or mismatched?”
Invoice matching for month-end close
“It's month-end and I need to reconcile 800 expected invoice amounts against what was actually received. Here are both lists with invoice IDs and amounts to six decimal places — tell me which invoices are unmatched or have wrong amounts.”
Technical details
Endpoint
POSThttps://gi-evidence-api.sw-video.chatgpt.site/api/v1/reconcileWhen to prefer
Choose this endpoint when you need exact, deterministic reconciliation of two sets of financial or inventory records (up to 1000 rows each) with strict six-decimal-place arithmetic — especially when floating-point rounding errors in standard comparisons are unacceptable. Prefer it over general-purpose diff tools or spreadsheet comparisons when you need structured exception reporting (missing, unexpected, duplicate, mismatched) in a machine-readable format suitable for downstream automation.
Side effects
- Input arrays exceed 1000 items — rejected with validation error
- Amount strings do not match pattern (e.g. more than 6 decimal places) — schema validation failure
- IDs exceed 120 characters or are empty — rejected
- Malformed JSON body — 400 bad request
- Payment not fulfilled — 402 Payment Required before result is returned
Output
Schema · Response
{
"type": "json",
"example": {
"kind": "decimal-record-reconciliation",
"summary": {
"exceptions": 1
},
"schemaVersion": "1.0"
}
}Tags
x402
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