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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 whale-momentum.agentdiet.dev, paid per call via MPP, $0.002/call, status unknown (last checked 2026-10-21).
Repairs truncated or malformed LLM-generated JSON (trailing commas, markdown fences, single quotes) into valid, parseable JSON for multi-agent pipelines.
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://whale-momentum.agentdiet.dev/v1/structured-output)
Output
A repaired, valid JSON object reconstructed from the malformed input, with structural issues like trailing commas, markdown code fences, single quotes, and truncation corrected deterministically.
Example use cases
Fixing LLM response in agent pipeline
“My AI agent just returned this malformed JSON with single quotes and a trailing comma — fix it so my pipeline doesn't crash: {'user': 'bob', 'status': 'active',}”
Stripping markdown fences from structured output
“The model wrapped its JSON in triple backtick markdown fences and added extra text. Can you strip that out and give me clean, valid JSON? Here's the raw output: ```json
{"result": "ok", "count": 5}
```”
Recovering truncated JSON from token limit cutoff
“This JSON got cut off mid-string because we hit the token limit — repair it as best you can into valid JSON: {"items": [{"id": 1, "name": "Widget"}, {"id": 2, "name": "Ga”
Technical details
Endpoint
GEThttps://whale-momentum.agentdiet.dev/v1/structured-output?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, rule-based JSON repair of LLM outputs rather than probabilistic regeneration. Ideal for multi-agent pipelines where downstream systems require strictly valid JSON and LLM outputs frequently contain markdown fences, trailing commas, or single quotes. Prefer over re-prompting the LLM when you need fast, low-cost, predictable fixes without consuming additional LLM tokens.
Side effects
- Input is so severely malformed or truncated that valid JSON cannot be inferred
- Input contains deeply nested or ambiguous structures that are unresolvable
- Empty or whitespace-only raw_json input returns an error
- Non-JSON input (e.g. plain text, XML) may not be repairable
- Schema validation failures if output does not match expected 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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