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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 llms-generator.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://llms-generator.agentdiet.dev/v1/llm-json-schema-healer)
Output
A repaired, valid JSON object with all syntax errors corrected — trailing commas removed, markdown fences stripped, single quotes converted to double quotes, and truncated structures closed — ready for downstream parsing in an agent pipeline.
Example use cases
Fixing LLM output in agent pipeline
“My agent just returned this malformed JSON with trailing commas and it's breaking the next step in my pipeline — can you repair it so it parses cleanly? Here it is: {"result": "ok", "score": 0.95,}”
Stripping markdown fences from JSON
“The LLM wrapped its JSON output in triple-backtick markdown fences and now my parser is failing — can you strip those out and give me clean valid JSON? Raw string: ```json
{"status": "active", "count": 42}
```”
Repairing single-quoted JSON from AI output
“I got this JSON back from a model that used single quotes instead of double quotes and it won't parse — fix it to valid JSON: {'user': 'bob', 'score': 88}”
Technical details
Endpoint
GEThttps://llms-generator.agentdiet.dev/v1/llm-json-schema-healer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent or multi-agent pipeline receives LLM-generated JSON that fails to parse due to common syntax issues like trailing commas, markdown code fences, single quotes, or truncation. It is purpose-built for deterministic, rule-based repair rather than LLM-based re-generation, making it faster, cheaper, and more predictable for high-volume pipeline use. Prefer it over manually parsing or re-prompting the LLM when you need a reliable, low-latency fix that won't hallucinate structure.
Side effects
- Input JSON too severely malformed to deterministically repair — returns error or best-effort partial output
- Ambiguous truncation points where the intended structure cannot be inferred — may produce structurally valid but semantically incorrect JSON
- Empty or whitespace-only raw_json input — returns validation error
- Input too long or deeply nested — may time out or return partial repair
- Non-JSON input (e.g. plain text, XML) passed as raw_json — may fail or return unexpected output
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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