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Bounty Engineer JSON Contract Check
x402
Bounty Engineer JSON Contract Check is a paid API for AI agents from bounty-engineer-x402-prod.onrender.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-12).
Validates a JSON value against a provided JSON Schema contract, returning typed errors with paths and codes without coercing or repairing the input.
Price / call$0.005
Success—
StatusUnknown
How this service works
Machine-buyable infrastructure for autonomous agents: API cost routing, margin optimization, funding-rate data, webpage extraction, result verification, spend controls, retry planning, state, tender search and GitHub bounty intelligence.
Output
Returns a JSON object with a boolean 'valid' flag, a list of typed errors (each with a code like 'type_mismatch', a path, actual and expected values), an error count, a SHA256 hash of the validated value, a flag indicating whether errors were truncated, and a list of limitations about supported JSON Schema keywords.
Example use cases
Agent output contract enforcement
“Before I store this tool call result, validate it against my expected response schema — here's the JSON value and the schema it must satisfy. I need to know every field that's the wrong type or missing.”
API integration pre-flight check
“I'm integrating with a third-party API and I want to make sure the payload I'm about to send matches their documented JSON contract. Can you run a strict schema check on my request body and list any violations?”
Autonomous pipeline data gate
“My agent pipeline just produced this JSON output. Run it through a contract check against this schema and only let it proceed if it's fully valid — otherwise give me all the error codes and paths so I can fix them.”
Technical details
Endpoint
POSThttps://bounty-engineer-x402-prod.onrender.com/v1/json-contract-check?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need strict, non-coercive JSON Schema validation with per-field error reporting for a supported subset of keywords. It is particularly well-suited for autonomous agents that need a deterministic contract gate — e.g. before persisting data, forwarding to downstream APIs, or confirming tool outputs. Prefer it over ad-hoc LLM-based validation when you need reproducible, hash-verifiable results with machine-readable error codes.
Side effects
- Unsupported JSON Schema keywords cause rejection before charging — endpoint returns an error listing the unsupported keyword
- Malformed or unparseable JSON input may result in a failed parse without charge
- Schema subset limitations may reject valid schemas using advanced keywords like 'anyOf', 'oneOf', or '$ref'
- Empty or missing 'value' and 'schema' fields may return an error response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | |
| value | — | |
| schema | — |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"mode": "json_contract_check",
"valid": false,
"errors": [
{
"code": "type_mismatch",
"path": "/price",
"actual": "string",
"expected": [
"number"
]
}
],
"error_count": 1,
"limitations": [
"Strict supported JSON Schema subset. Unsupported keywords are rejected before charging; values are never coerced or repaired."
],
"value_sha256": "772e737f8e397529b1782a3320fed5eab462b2c0d43338b523b15574f9f45eda",
"errors_truncated": false,
"parsed_from_text": false,
"supported_keywords": [
"type",
"properties",
"required",
"additionalProperties",
"items",
"enum",
"const",
"minimum",
"maximum",
"minLength",
"maxLength",
"minItems",
"maxItems",
"uniqueItems",
"title",
"description",
"$schema"
]
}
}Tags
x402
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