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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 token-intel.agentdiet.dev, paid per call via MPP, $0.002/call, status unknown (last checked 2026-10-21).
Repairs malformed, truncated, or markdown-wrapped JSON strings from LLM outputs so multi-agent pipelines can reliably parse structured data 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://token-intel.agentdiet.dev/v1/json-normalizer)
Output
A repaired, valid JSON object with syntax errors corrected — trailing commas removed, markdown fences stripped, single quotes converted to double quotes, and truncated structures closed — returned as a parseable JSON response.
Example use cases
Fix LLM output in agent pipeline
“My AI pipeline just got back this garbled JSON from the language model — it has single quotes instead of double quotes and a trailing comma. Can you repair it so the downstream agent can parse it? Here's the raw string: {'user': 'Bob', 'score': 95,}”
Strip markdown fences from structured output
“The LLM wrapped its JSON response in triple-backtick markdown fences and I can't parse it programmatically. Can you clean it up and return just the valid JSON object? Here's what came back: ```json
{"status": "ok", "items": [1, 2, 3]}
```”
Recover truncated JSON from context cutoff
“My model ran out of context and the JSON it returned got cut off mid-structure — it's missing the closing brackets and braces. Can you repair and complete the JSON so it's valid? The broken string is: {"report": {"title": "Q1 Results", "data": [1, 2”
Technical details
Endpoint
GEThttps://token-intel.agentdiet.dev/v1/json-normalizer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your multi-agent or LLM pipeline needs deterministic, rule-based JSON repair rather than probabilistic LLM-based fixing. Ideal when you need consistent, repeatable normalization of common LLM output artifacts like trailing commas, markdown fences, and single quotes, and when you cannot afford non-deterministic behavior in a production pipeline.
Side effects
- Input is so severely malformed that deterministic repair is not possible — returns error indicating unrecoverable JSON
- Input string is empty or contains no JSON-like structure — returns validation error
- JSON is ambiguous after truncation and cannot be deterministically completed — may return partial repair with warning
- Service unavailable or payment failure via x402 — returns HTTP 402 or 5xx error
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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