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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 sec-intel.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 can process them 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://sec-intel.agentdiet.dev/v1/structured-output)
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 processing in agent pipelines.
Example use cases
Fixing LLM output in agent pipeline
“My language model returned this JSON but it has trailing commas and single quotes that are breaking my pipeline — please fix it: {'user': 'bob', 'items': ['a', 'b',]}”
Stripping markdown fences from structured output
“The model wrapped its JSON response in markdown code fences and now my parser is crashing — can you clean it up and give me valid JSON? Here's what came back: ```json
{"result": "ok", "data": [1,2,3,]}
```”
Recovering truncated JSON from model
“My model got cut off mid-response and returned this truncated JSON — can you deterministically repair it so I can still use the output: {"id": 42, "name": "report", "fields": ["a",”
Technical details
Endpoint
GEThttps://sec-intel.agentdiet.dev/v1/structured-output?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your multi-agent pipeline receives LLM-generated JSON that fails standard parsing due to common syntax errors like trailing commas, markdown wrapping, single quotes, or truncation. It is purpose-built for agent-to-agent workflows where structured output reliability is critical and you need deterministic (not AI-based) repair rather than asking a model to re-generate the output.
Side effects
- Input JSON too severely truncated to infer structure — returns error or best-effort partial repair
- Input is not JSON at all (e.g. plain text or binary) — may return validation error
- Ambiguous repair cases where multiple valid completions exist — deterministic repair may choose one interpretation
- Empty or null raw_json input — returns 400 or validation error
- Extremely large JSON payloads may hit size 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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