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AgentDiet JSON Normalizer
x402
AgentDiet JSON Normalizer is a paid API for AI agents from mcp-gateway.agentdiet.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-22).
Normalizes and compresses raw JSON into a clean, deduplicated structure with compression ratio proof
Price / call$0.002
Success—
StatusUnknown
How this service works
Deterministic B2A/A2A/MCP/x402/MPP/L402 execution and intelligence node at https://mcp-gateway.agentdiet.dev settling in USDC on Base.
Output
Returns a JSON object with a 'data' field containing the normalized JSON, a 'status' field ('ok' on success), and an 'roi_proof' object showing the compression_ratio_pct achieved (e.g. 91.4% compression).
Example use cases
Clean noisy API response before storage
“I just got a huge JSON response from a third-party API with tons of redundant fields and nesting — can you normalize it into a clean flat structure before I store it in the database?”
Reduce JSON token count for LLM pipeline
“This JSON payload is way too large to fit in my LLM context window. Can you compress and normalize it so it takes up as little space as possible and tell me the compression ratio?”
Standardize JSON across multiple sources
“I'm merging JSON data from three different services and the schemas are all over the place. Can you normalize this raw JSON blob into a consistent canonical structure?”
Technical details
Endpoint
GEThttps://mcp-gateway.agentdiet.dev/v1/json-normalizer?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to normalize, deduplicate, or compress a raw JSON payload before downstream processing — especially in agent pipelines where token count or payload size matters. Prefer it over manual parsing when you want a quantified compression ratio as proof of optimization.
Side effects
- Missing required 'input' field returns validation error
- Invalid JSON string in raw_json query param causes parse failure
- Unsupported HTTP method (not GET or POST) returns schema validation error
- Empty or null JSON input may return empty data object
- Malformed input object missing 'type' or 'method' fields returns 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {},
"status": "ok",
"roi_proof": {
"compression_ratio_pct": 91.4
}
}
}Tags
x402
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