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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 agentdiet.dev, paid per call via MPP, $0.002/call, status unknown (last checked 2026-10-23).
Repairs truncated or malformed LLM JSON outputs (trailing commas, markdown fences, single quotes, truncation) 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://agentdiet.dev/v1/llm-json-schema-healer)
Output
Returns a repaired, schema-compliant JSON object. The response contains the cleaned and validated JSON that was reconstructed from the malformed input, ready for downstream parsing without errors.
Example use cases
Fix LLM output in agent pipeline
“The language model returned this JSON with trailing commas and it's breaking my pipeline — please repair it so I can pass it downstream: {"name": "Alice", "score": 0.95,}”
Strip markdown fences from AI response
“My AI assistant wrapped its JSON in triple-backtick markdown fences and my parser is choking on it — can you strip the fences and give me clean JSON? Here's the raw output: ```json
{"result": "ok", "data": [1,2,3]}
```”
Recover truncated JSON from long generation
“The model got cut off mid-generation and I ended up with incomplete JSON — can you attempt to repair and close it so it's valid? The broken string is: {"items": [{"id": 1, "label": "foo"}, {"id": 2”
Technical details
Endpoint
POSThttps://agentdiet.dev/v1/llm-json-schema-healer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your multi-agent pipeline receives raw LLM outputs that may contain trailing commas, markdown code fences, single quotes instead of double quotes, or truncation artifacts, and you need a deterministic (not probabilistic) fix before passing JSON downstream. Prefer this over writing custom regex or using LLM re-prompting for JSON cleanup, as it is purpose-built, cheap per call, and idempotent.
Side effects
- Input is so severely truncated or corrupted that deterministic repair is impossible — returns error indicating irrecoverable JSON
- Input string is empty or below minimum length — validation error on raw_json field
- Input is valid JSON already — may return it unchanged or signal no repair was needed
- Extremely large or deeply nested JSON may hit processing 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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