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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 workflows.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://workflows.agentdiet.dev/v1/json-repair)
Output
A repaired, valid JSON object that has been deterministically fixed — trailing commas removed, markdown fences stripped, single quotes normalized to double quotes, and truncated structures closed — ready for parsing by downstream agents or code.
Example use cases
Fix LLM output before agent handoff
“The upstream agent returned this malformed JSON with trailing commas and I need to pass it to the next step — can you repair it? Here's the raw output: {"status": "ok", "items": ["a", "b",],}”
Strip markdown fences from model response
“My model wrapped its JSON response in triple backticks and now my parser is crashing — clean this up for me: ```json
{"result": "success", 'count': 42}
```”
Recover truncated JSON from partial generation
“The LLM cut off mid-response and I got a truncated JSON object — can you repair and close it so I can extract the data? Here it is: {"user": {"id": 123, "name": "Bob"”
Technical details
Endpoint
GEThttps://workflows.agentdiet.dev/v1/json-repair?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, rule-based JSON repair (not probabilistic/LLM-based rewriting) for LLM outputs that suffer from known structural issues like trailing commas, markdown fences, single quotes, or truncation. Ideal for multi-agent pipelines where downstream steps require valid JSON and crashes are unacceptable. Prefer this over manual parsing or regex hacks when you want a dedicated, pay-per-call microservice that handles the full range of common LLM JSON malformations in one call.
Side effects
- Input is so corrupted it cannot be deterministically repaired, returning an error or best-effort partial result
- Input is not JSON at all (plain text, binary), causing repair failure
- Extremely long truncated inputs may result in ambiguous completions
- Malformed nesting beyond repair heuristics may return unexpected structure
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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