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Deterministic A2A Broken-JSON Repair & Schema Validator
Deterministic A2A Broken-JSON Repair & Schema Validator is a paid API for AI agents from json-repair.agentdiet.dev, paid per call via MPP, $0.002/call, status unknown (last checked 2026-10-21).
Repairs malformed, truncated, or markdown-wrapped JSON strings (trailing commas, single quotes, fenced code blocks) so multi-agent pipelines never crash on bad LLM output.
Price / call$0.002
Success—
StatusUnknown
How this service works
Repairs truncated or malformed LLM JSON outputs (trailing commas, markdown fences, single quotes) so multi-agent pipelines never crash. (Live x402 v2, IETF MPP & MCP endpoint at https://json-repair.agentdiet.dev/v1/malformed-json-healer)
Output
A repaired, valid JSON object derived from the malformed input string. The endpoint deterministically corrects issues such as trailing commas, missing brackets, markdown fences, single quotes, and truncation, returning a well-formed JSON payload ready for downstream parsing or schema validation.
Example use cases
Fix LLM output before downstream step
“The language model returned a JSON block wrapped in triple backticks with a trailing comma on the last field — repair it so I can pass it to the next agent in my pipeline: ```{"status": "ok", "count": 42,}```”
Recover truncated JSON from partial response
“My LLM call got cut off mid-response and the JSON is truncated — it ends abruptly without closing brackets. Can you deterministically repair this so it's valid JSON I can parse? Here's what I got: {"user": {"id": 99, "name": "Bob"”
Sanitize single-quoted agent output
“An agent in my workflow returned JSON using single quotes instead of double quotes, like {'key': 'value', 'active': true} — can you fix it to valid JSON so my downstream parser doesn't throw an error?”
Technical details
Endpoint
GEThttps://json-repair.agentdiet.dev/v1/malformed-json-healer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your multi-agent pipeline receives LLM-generated JSON that fails to parse due to common formatting issues like trailing commas, markdown fences, single quotes, or truncation. It is purpose-built for deterministic (non-probabilistic) repair, making it reliable for automated pipelines where consistency matters. Prefer it over ad-hoc regex fixes or re-prompting the LLM when you need a fast, cheap, and predictable correction step.
Side effects
- Input so severely malformed that no deterministic repair is possible — returns error or best-effort partial result
- Ambiguous truncation where the intended structure cannot be inferred — may produce incorrect but syntactically valid JSON
- Very large JSON strings may hit query parameter length limits when passed via GET
- Empty or whitespace-only raw_json input — likely returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| raw_jsonrequired | string | Malformed, truncated, or markdown-wrapped JSON string to deterministically repair |
Output
Schema · Response
{
"type": "object"
}Reviews
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