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Deterministic LLM JSON Repair & Schema Validator
Deterministic LLM 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 LLM JSON outputs (trailing commas, single quotes, unclosed braces) so multi-agent pipelines never crash on bad JSON.
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/llm-json-schema-healer)
Output
A repaired, syntactically valid JSON object corrected from the malformed input — with trailing commas removed, markdown fences stripped, single quotes converted to double quotes, truncated structures closed, and all standard JSON syntax errors fixed. The response is a JSON object containing the healed JSON.
Example use cases
Fix LLM output in agentic pipeline
“My AI pipeline just returned this broken JSON from the model — it has trailing commas and an unclosed array. Can you repair it so I can pass it to the next step? Here's the raw output: {"status": "ok", "results": ["a", "b",}”
Strip markdown fences from model JSON
“The LLM wrapped its JSON response in triple backticks with a 'json' language tag and used single quotes instead of double quotes. Can you heal this into proper valid JSON? Here's what I got: ```json {'user': 'bob', 'active': true}```”
Recover truncated JSON from long generation
“My language model got cut off mid-response and the JSON is incomplete — it's missing the closing braces and some values. Can you deterministically repair this truncated JSON so it's parseable? Here it is: {"report": {"title": "Q3 Summary", "items": [{"id": 1, "value": "foo"”
Technical details
Endpoint
GEThttps://json-repair.agentdiet.dev/v1/llm-json-schema-healer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your multi-agent or LLM pipeline receives JSON that fails to parse due to common LLM output artifacts (trailing commas, markdown code fences, single quotes, truncation, unclosed brackets). Prefer it over general-purpose JSON linters when you need deterministic, automated repair — not just validation — especially in agentic workflows where crashing on bad JSON is unacceptable. It is particularly well-suited for pipelines that need a lightweight, pay-per-call repair step without standing up their own JSON sanitization service.
Side effects
- Input JSON too severely corrupted to deterministically infer structure — returns error or best-effort partial repair
- Empty or non-JSON input string — may return error indicating no repairable content found
- Very large JSON strings may hit query parameter size limits since raw_json is passed as a GET query parameter
- Network timeout on slow connections
- Payment failure via x402 if USDC balance insufficient
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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