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Deterministic LLM JSON Repair & Schema Validator
Deterministic LLM JSON Repair & Schema Validator is a paid API for AI agents from email-verify.agentdiet.dev, paid per call via MPP, $0.002/call, status unknown (last checked 2026-10-28).
Repairs truncated, malformed, or markdown-wrapped JSON from LLM outputs so multi-agent pipelines can process structured data without crashing
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://email-verify.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 properly closed. The response is a JSON object containing the healed data ready for downstream consumption.
Example use cases
Fixing broken LLM pipeline output
“My AI agent just returned this JSON but it has single quotes and trailing commas and my code is throwing a parse error — can you clean it up and give me valid JSON? Here's the broken output: {'user': 'Bob', 'score': 42,}”
Stripping markdown fences from structured response
“The LLM wrapped its JSON response in markdown code fences and now my downstream service can't parse it. Can you strip the fences and repair any other issues so I get clean JSON back? The response is: ```json
{"status": "ok", "items": [1, 2, 3,]}
```”
Recovering truncated JSON from context cutoff
“My model hit its token limit mid-response and returned an incomplete JSON object that cuts off in the middle. Can you repair and close it out so it's valid and parseable? Here's what I got: {"report": {"title": "Q3 Summary", "sections": ["intro", "data"”
Technical details
Endpoint
POSThttps://email-verify.agentdiet.dev/v1/llm-json-schema-healer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, rule-based JSON repair of LLM outputs rather than probabilistic LLM-based re-generation. Ideal for multi-agent pipelines where reliability and consistency are critical, especially when outputs frequently contain trailing commas, markdown code fences, or single-quoted strings. Best suited for structured data recovery in automated workflows where you cannot tolerate crashes from malformed JSON.
Side effects
- Input is so severely corrupted that deterministic repair is impossible — returns error indicating unrecoverable JSON
- Input string is empty or whitespace — fails minLength validation
- JSON is structurally ambiguous after truncation and cannot be deterministically closed — may return partial repair with warning
- Non-JSON input (e.g. plain text, XML) passed as raw_json — repair attempt 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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