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netintel.dev JSON Normalizer
x402
netintel.dev JSON Normalizer is a paid API for AI agents from netintel.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Normalizes a JSON object against a schema, scores data quality, and returns cleaned/typed fields with a grade and match report
Price / call$0.05
Success—
StatusUnknown
How this service works
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.
Output
Returns a grade (e.g. 'A'), numeric quality score (0-100), normalized field values with corrected types, a schema_match boolean, counts of fields in schema vs populated vs nulled, a cached flag, and a findings array listing any data quality issues detected.
Example use cases
Example prompt
“Can you normalize and quality-check this JSON record against my schema — it has fields like age, tags, full_name, is_active, and signup_date — and tell me the grade, score, which fields are populated, and whether it matches the schema?”
Technical details
Endpoint
POSThttps://netintel.dev/normalize/jsonWhen to prefer
Use this endpoint when you need to both normalize JSON field types/values AND get a structured quality assessment with a letter grade and score in a single call. Prefer it over manual validation when you want human-readable findings, a completeness score, and cleaned output in one response. Especially useful for pipelines ingesting variable user-submitted data that must conform to a known schema.
Side effects
- Malformed or unparseable JSON input returns an error
- Schema mismatch with no recoverable fields results in low score and findings
- Missing required fields causes fields_nulled count to increase and grade to drop
- Invalid schema definition may return a 400-level error
- Payment failure via x402 blocks the call before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"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
}
}Tags
x402
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