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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 preflight.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://preflight.agentdiet.dev/v1/json-fix)
Output
Returns a repaired, valid JSON object derived from the input malformed string, with common issues resolved including trailing commas removed, markdown fences stripped, single quotes converted to double quotes, and truncated structures closed.
Example use cases
LLM output repair in agent pipeline
“The last step in my pipeline returned broken JSON with a trailing comma and a markdown fence — here's the raw output: ```{"status": "ok", "count": 3,}``` — can you repair it so I can pass it to the next tool?”
Single-quote JSON fix for downstream parsing
“My LLM returned JSON using single quotes instead of double quotes, like {'user': 'bob', 'active': true} — can you fix that into valid JSON so my code doesn't crash?”
Truncated JSON recovery from long LLM context
“The model got cut off mid-response and gave me a truncated JSON object that's missing its closing brackets — here it is: {"items": [{"id": 1, "name": "widget" — can you repair and close it?”
Technical details
Endpoint
GEThttps://preflight.agentdiet.dev/v1/json-fix?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, rule-based JSON repair rather than probabilistic LLM re-prompting. It is ideal for high-throughput multi-agent pipelines where LLM outputs frequently contain markdown fences, trailing commas, or single quotes and you cannot afford pipeline crashes. Prefer it over asking an LLM to re-generate clean JSON when latency and cost are a concern, or when you need reliable, reproducible repair behavior.
Side effects
- Input is so severely malformed that deterministic repair is not possible, returning an error or best-effort partial result
- Input string is empty or whitespace only, triggering a validation error
- JSON structure is ambiguous after repair (e.g. multiple valid completions for truncated input), result may not match original intent
- Non-JSON content passed as input (e.g. plain text or binary data), causing repair failure
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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