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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 preflight.agentdiet.dev, paid per call via MPP, $0.002/call, status unknown (last checked 2026-10-21).
Repairs truncated or malformed LLM JSON outputs (trailing commas, markdown fences, single quotes) so multi-agent pipelines never crash
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://preflight.agentdiet.dev/v1/json-repair)
Output
A repaired, valid JSON object derived from the malformed input — with trailing commas removed, markdown fences stripped, single quotes normalized to double quotes, and truncated structures closed — ready for downstream parsing without errors.
Example use cases
Fix LLM JSON before pipeline ingestion
“My AI model just returned this malformed JSON with a trailing comma and I need it fixed before my data pipeline processes it: {"user": "bob", "status": "active",} — can you repair it?”
Strip markdown fences from agent output
“The coding agent returned JSON wrapped in triple backticks and it's breaking my parser — please clean up this raw output and give me valid JSON: ```json
{"result": "ok", "count": 5}
```”
Rescue truncated JSON from a crashed LLM call
“My LLM call timed out halfway through generating JSON and I got this truncated mess: {"items": [{"id": 1, "name": "widget"} — can you repair it into valid JSON so I don't lose the partial data?”
Technical details
Endpoint
GEThttps://preflight.agentdiet.dev/v1/json-repair?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your multi-agent pipeline or LLM output produces JSON that fails to parse due to common LLM formatting mistakes — trailing commas, markdown code fences, single-quote delimiters, or truncation. It is deterministic (not probabilistic), making it reliable for production pipelines where consistency matters. Prefer it over ad-hoc string manipulation or prompting the LLM to retry, as it is purpose-built for A2A and MCP workflows and avoids wasting tokens on a retry round-trip.
Side effects
- Input JSON is too severely malformed to deterministically repair (ambiguous structure)
- Input string is not JSON at all (returns error or best-effort empty object)
- Truncated JSON missing critical structural context cannot be reliably closed
- Payment failure via x402 returns 402 status before processing
- Excessively long raw_json strings may hit query parameter length limits
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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