netintel.dev Text-to-JSON 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).
Converts unstructured text into structured JSON using a provided schema, with grading, field validation, and schema conformance scoring
Turn unstructured text into structured JSON matching a caller-supplied schema using Claude Haiku — the agent declares the fields and types it wants, and gets back populated JSON with values pulled from the text and coerced to the right types, so agents can structure any prose into the exact shape their pipeline expects.
Returns a graded JSON object including: a letter grade (A–F) and numeric score (0–100), the extracted result object with schema fields populated, a schema_match boolean, counts of fields populated vs. total fields in schema, fields_nulled count, cached flag, and an array of validation findings or anomalies.
POSThttps://netintel.dev/text-to-jsonUse this endpoint when you need to reliably convert unstructured or semi-structured natural language text into a validated JSON object conforming to a specific schema, and you want graded feedback on extraction quality. Prefer it over generic LLM JSON extraction when you need per-field population metrics, schema conformance scoring, and structured validation findings — particularly for business intelligence, data pipelines, or form-filling workflows.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"grade": "A",
"score": 100,
"cached": false,
"result": {
"company": "Acme Corp",
"employees": 250,
"is_public": false,
"locations": [
"San Francisco",
"London"
],
"founded_year": 2010
},
"findings": [],
"schema_match": true,
"fields_nulled": 0,
"fields_in_schema": 5,
"fields_populated": 5
}
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