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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 cve-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) into valid, parseable JSON deterministically
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://cve-intel.agentdiet.dev/v1/json-fix)
Output
A repaired, valid JSON object derived from the malformed input. The response contains the corrected JSON with syntax errors resolved — trailing commas removed, markdown fences stripped, single quotes converted to double quotes, and truncated structures closed — ready for programmatic parsing.
Example use cases
LLM pipeline crash prevention
“The language model in my pipeline returned JSON wrapped in triple backtick markdown fences and it's breaking my parser — can you fix this raw output so it's clean, valid JSON I can actually use? Here it is: ```json {"result": "success", "count": 5, } ```”
Multi-agent JSON handoff repair
“One of my agents handed off this malformed JSON to the next stage and now everything is breaking — the string uses single quotes instead of double quotes and has a trailing comma. Can you repair it deterministically? Here's the string: {'user': 'alice', 'score': 98,}”
Truncated LLM output recovery
“My LLM got cut off mid-response and returned a truncated JSON object that's missing its closing braces — can you repair this broken JSON so I can extract the data? The raw output is: {"id": 123, "name": "Project Alpha", "tags": ["ai", "automation"”
Technical details
Endpoint
GEThttps://cve-intel.agentdiet.dev/v1/json-fix?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, rule-based JSON repair rather than LLM-assisted guessing — ideal for production multi-agent pipelines where reproducibility matters. Prefer it when LLM outputs consistently contain fixable patterns like trailing commas, markdown wrapping, or single quotes. Best for automated pipelines that need a reliable, fast, cheap ($0.002/call) sanitization step before downstream JSON parsing, schema validation, or database storage.
Side effects
- Input JSON is so severely corrupted that deterministic repair is impossible — returns error indicating unrecoverable structure
- raw_json parameter missing or empty — returns 400 validation error
- Input is not JSON at all (plain text, binary, XML) — may return error or attempt partial repair
- Payment not attached or insufficient — returns HTTP 402 requiring x402 USDC payment
- Extremely large or deeply nested JSON may timeout or exceed processing 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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