NetIntel JSON Normalizer is a paid API for AI agents from netintel-production-440c.up.railway.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Normalizes and validates a JSON payload against a schema, returning a quality grade, score, null field counts, and a normalized output object
Conform messy or inconsistent JSON to a target schema using Claude Haiku — renames keys, coerces types (string→number, "true"→boolean, etc.), and fills missing fields with null, returning JSON that matches the exact shape the caller specified so agents can normalize data from varied sources into one consistent structure.
Returns a letter grade (e.g. 'A'), numeric score (0–100), normalized JSON object with cleaned field values, a schema_match boolean, counts of fields in schema and populated, count of nulled fields, a list of findings or issues, and a cached flag indicating whether the result was served from cache.
POSThttps://netintel-production-440c.up.railway.app/normalize/jsonChoose this endpoint when you need to validate, clean, and score a JSON object against a defined schema in a single call, especially when you want a structured quality grade (A–F) and field-level diagnostics rather than a simple pass/fail. It is particularly useful for data pipeline quality checks or user record normalization where you want both cleaned output and a completeness report.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"grade": "A",
"score": 100,
"cached": false,
"findings": [],
"normalized": {
"age": 42,
"tags": [
"vip",
"beta"
],
"full_name": "Jane Doe",
"is_active": true,
"signup_date": "2024-03-01"
},
"schema_match": true,
"fields_nulled": 0,
"fields_in_schema": 5,
"fields_populated": 5
}
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