# Deterministic A2A Broken-JSON Repair & Schema Validator

> Deterministic A2A Broken-JSON Repair & Schema Validator is a paid API for AI agents from github-audit.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) so it becomes valid, parseable JSON for multi-agent pipelines.

## Facts

- Endpoint: GET https://github-audit.agentdiet.dev/v1/repair?utm_source=zero.xyz
- Price: $0.002/call
- Payment: MPP
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Provider: github-audit.agentdiet.dev
- Website: https://github-audit.agentdiet.dev
- Canonical page: https://www.zero.xyz/c/github-audit-agentdiet-dev-deterministic-a2a-broken-json-repair-cc0bdacf
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_R-0uFiOqDaFm5Q39h1xQt

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability github-audit-agentdiet-dev-deterministic-a2a-broken-json-repair-cc0bdacf
```

Example prompt: The LLM just returned this broken JSON with trailing commas and markdown fences — can you repair it so it's valid and parseable: ```{"name": "Alice", "age": 30,}```?

## When to prefer this

Choose this endpoint when your multi-agent or LLM pipeline frequently receives malformed JSON from language model outputs and you need a deterministic, rule-based repair rather than asking another LLM to reformat it. Ideal when you need guaranteed idempotent behavior — the same broken input always produces the same repaired output. Prefer this over manual parsing hacks or regex when dealing with common LLM JSON antipatterns like markdown fences, trailing commas, and single quotes at scale.

## Known failure modes

- Input is so severely malformed it cannot be deterministically reconstructed — returns error or best-effort partial output
- Input is not JSON at all (e.g. plain text or binary) — may return validation error
- Truncated JSON with ambiguous structure may produce incorrect inference of missing fields
- Payment failure via x402 if USDC balance is insufficient — HTTP 402 response
- Very large JSON strings may hit query parameter length limits since input is passed via GET query param

## 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://github-audit.agentdiet.dev/v1/repair)

## Output

A repaired, valid JSON object reconstructed from the malformed input. The response contains the cleaned JSON with issues like trailing commas, markdown code fences, and single quotes resolved so it can be parsed by standard JSON parsers downstream.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "raw_json"
 ],
 "properties": {
  "raw_json": {
   "type": "string",
   "minLength": 1,
   "description": "Malformed, truncated, or markdown-wrapped JSON string to deterministically repair"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object"
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/github-audit-agentdiet-dev-deterministic-a2a-broken-json-repair-cc0bdacf/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from github-audit.agentdiet.dev](https://www.zero.xyz/host/github-audit.agentdiet.dev/llms.txt)