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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 github-audit.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) 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://github-audit.agentdiet.dev/v1/json-fix)
Output
A repaired, valid JSON object derived from the malformed input. The response contains the corrected JSON with markdown fences removed, trailing commas stripped, single quotes converted to double quotes, and truncated structures closed — ready for downstream parsing by any agent or pipeline.
Example use cases
Fix LLM pipeline JSON crash
“My agent just returned a response that's wrapped in ```json markdown fences and has trailing commas — it's breaking my downstream pipeline. Can you repair it into valid JSON so processing can continue?”
Sanitize single-quoted JSON from AI
“The model output I got uses single quotes instead of double quotes and has a missing closing bracket. Please fix it into proper JSON I can actually parse.”
Recover truncated JSON from streaming response
“I got a truncated JSON response from my streaming LLM call — it just cuts off mid-object. Can you repair it and give me back the most complete valid JSON you can reconstruct from it?”
Technical details
Endpoint
POSThttps://github-audit.agentdiet.dev/v1/json-fix?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your multi-agent pipeline receives LLM-generated JSON that fails to parse due to common formatting errors like markdown code fences, trailing commas, single quotes, or truncation. It is deterministic (not AI-based), making it predictable and auditable for production pipelines. Prefer it over custom regex-based repair logic when you need a reliable, hosted microservice that handles the full range of common LLM JSON malformations in a single call.
Side effects
- Input too severely truncated or garbled to reconstruct valid JSON — returns error or best-effort partial object
- Input is not JSON at all (e.g. plain prose) — may return error or empty object
- Network/payment issues causing 402 or timeout
- Ambiguous repair decisions where multiple valid interpretations exist — picks one deterministically but may not match original intent
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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