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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 shopify-spy.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://shopify-spy.agentdiet.dev/v1/json-normalizer)
Output
Returns a repaired, valid JSON object with all syntax errors corrected — trailing commas removed, markdown fences stripped, single quotes converted to double quotes, and truncations resolved where possible.
Example use cases
Fix LLM output in agentic pipeline
“My agent just got this malformed JSON back from the model — it has single quotes and a trailing comma. Clean it up so the next step in the pipeline doesn't crash: {'name': 'Bob', 'score': 95,}”
Strip markdown fences from JSON response
“The LLM wrapped its JSON output in markdown code fences and now my parser is failing. Can you strip the fences and fix any other issues in this string: ```json
{"status": "ok", "items": [1, 2, 3,]}
```?”
Repair truncated JSON from streaming model
“The streaming response got cut off mid-JSON and now I have an incomplete object. Try to repair this truncated JSON so I can extract the data: {"user": "carol", "results": ["a", "b"”
Technical details
Endpoint
GEThttps://shopify-spy.agentdiet.dev/v1/json-normalizer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your multi-agent pipeline receives JSON from an LLM that fails to parse due to common LLM formatting errors such as trailing commas, markdown code fences, single-quoted keys/values, or truncated output. Ideal for A2A workflows where downstream agents require valid JSON and you need a deterministic, cheap repair step rather than re-invoking the expensive LLM.
Side effects
- Input JSON is so severely malformed it cannot be deterministically reconstructed
- Empty or missing raw_json parameter returns an error
- Ambiguous truncation points where repair is non-deterministic may produce unexpected structure
- Very large JSON strings 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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