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Agent Receipt Audit
x402
Agent Receipt Audit is a paid API for AI agents from agent-receipt-audit.bonto.run, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Audits agent earning ledgers for overcounting, duplicate transactions, unsettled revenue, internal/bootstrap calls, and missing payer/receiver evidence.
Price / call$0.01
Success—
StatusUnknown
How this service works
Checks agent earning ledgers for overcounting, duplicate transaction reuse, unsettled revenue, internal/bootstrap calls, and missing payer/receiver evidence.
Output
A JSON object containing a summary with the total overcount in USD, the evidence-backed external revenue in USD, and a verdict string ('pass' or 'fail') indicating whether the agent ledger is clean.
Example use cases
Pre-payout fraud check for agent fleet
“Before I release payouts to my agent fleet, can you audit their earning ledgers to make sure there's no overcounting or duplicate transactions being claimed?”
Compliance review of agent revenue
“I need to verify my agent's revenue records are clean — run a receipt audit and flag any unsettled amounts or transactions missing payer or receiver evidence.”
Debugging inflated agent earnings
“My agent is reporting way more earnings than expected — can you audit its receipt ledger to check for internal bootstrap calls or duplicate transaction reuse inflating the numbers?”
Technical details
Endpoint
POSThttps://agent-receipt-audit.bonto.run/v1/audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically validate the integrity of an AI agent's earning ledger — specifically to detect overcounting, duplicate transaction reuse, unsettled revenue, internal bootstrap calls, or missing payer/receiver evidence before releasing funds or filing revenue reports. It is purpose-built for agent economics auditing rather than general accounting or blockchain explorers.
Side effects
- Missing or malformed bodyFields input may result in an error or incomplete audit
- Ledger data lacking transaction identifiers may prevent duplicate detection
- Incomplete receipt data with no payer/receiver fields will flag all entries as missing evidence
- Network or service unavailability returns a non-200 error response
- Ambiguous internal vs external call classification may produce uncertain verdicts
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bodyFields | string |
Output
Schema · Response
{
"type": "json",
"example": {
"summary": {
"overcountUsd": 0,
"evidenceBackedExternalRevenueUsd": 0.01
},
"verdict": "pass"
}
}Tags
x402
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