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apiacre.com Data Contract — Normalize, Infer Schema & Validate
x402
apiacre.com Data Contract — Normalize, Infer Schema & Validate is a paid API for AI agents from apiacre.com, paid per call via x402, $0.035/call, status unknown (last checked 2026-09-14).
Normalizes CSV, TSV, JSON, JSON Lines, or YAML into canonical JSON, infers a JSON Schema Draft 2020-12 from it, and optionally validates a second JSON value against that schema — all in one call.
Price / call$0.035
Success—
StatusUnknown
How this service works
Normalize caller-supplied CSV, TSV, JSON, JSON Lines, or YAML to deterministic JSON, infer a Draft 2020-12 schema from that normalized value, and validate one future JSON value in a single x402 call.
Output
Returns normalized canonical JSON from the input data, a fully inferred JSON Schema Draft 2020-12 describing the structure of that data, and (if a candidate value was supplied) a structured validation result including any schema violation errors.
Example use cases
Validate incoming API payload against inferred schema
“I have a YAML config file I use as my data template — normalize it to JSON, infer a schema from it, and then tell me if this new JSON object {"env":"prod","replicas":3} passes validation against that schema.”
CSV-to-JSON normalization for a data pipeline
“Convert this CSV export from our database into deterministic JSON and give me the inferred Draft 2020-12 schema so I can use it as the contract for downstream consumers.”
Validate a user-submitted JSON record
“Here's a JSON Lines sample of our event records — normalize it, infer the schema, and check whether this user-submitted event {"event_type":"click","timestamp":"not-a-date","user_id":99} would pass validation.”
Technical details
Endpoint
POSThttps://apiacre.com/v1/data/contractWhen to prefer
Choose this endpoint when you need to normalize heterogeneous data formats (CSV, TSV, YAML, JSON Lines) into canonical JSON and simultaneously obtain a machine-readable schema contract in a single atomic call. It is especially valuable when you want to validate a future or incoming record against the schema derived from your sample data in one round-trip, eliminating the need for separate normalization, schema inference, and validation steps.
Side effects
- Unparseable input format returns a 4xx error indicating the format could not be detected or parsed
- Candidate value validation may fail with detailed schema violation messages rather than a hard error
- Ambiguous or empty input may result in a minimal or overly permissive inferred schema
- Malformed JSON in the candidate validation value returns a parse error
- Payment failure via x402 results in request rejection before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| format | string | |
| content | string | |
| instance | — | |
| root_mode | string | |
| max_errors | integer | |
| check_formats | boolean |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"contract": {
"input": {
"format": "json",
"records": 1,
"rootMode": "records",
"utf8Bytes": 46,
"characters": 46
},
"schema": {
"type": "array",
"items": {
"type": "object",
"required": [
"name",
"score"
],
"properties": {
"name": {
"type": "string",
"x-apiacre-observed": {
"types": [
"string"
],
"nullCount": 0,
"sampleCount": 1,
"missingCount": 0,
"presentCount": 1
}
},
"score": {
"type": "integer",
"x-apiacre-observed": {
"types": [
"integer"
],
"nullCount": 0,
"sampleCount": 1,
"missingCount": 0,
"presentCount": 1
}
}
},
"x-apiacre-observed": {
"types": [
"object"
],
"nullCount": 0,
"sampleCount": 1,
"missingCount": 0,
"presentCount": 1
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"x-apiacre-observed": {
"types": [
"array"
],
"nullCount": 0,
"sampleCount": 1,
"missingCount": 0,
"presentCount": 1
}
},
"inference": {
"dialect": "https://json-schema.org/draft/2020-12/schema",
"version": "apiacre-schema-inference/3",
"csvEmptyStringsAsNull": false,
"csvNumericStringsCoerced": false,
"tabularNumericStringsCoerced": false
}
},
"pipeline": {
"steps": [
"normalize-to-json",
"infer-draft-2020-12",
"validate-instance"
],
"version": "apiacre-data-contract/1",
"deterministic": true,
"networkRequestsMade": 0,
"singlePaymentAuthorization": true
},
"normalized": {
"format": "json",
"content": "[\n {\n \"name\": \"Ada\",\n \"score\": 98\n }\n]",
"records": 1,
"rootMode": "records",
"sourceFormat": "json"
},
"validation": {
"valid": true,
"errorCount": 0,
"schemaValid": true,
"instanceValid": true,
"errorCountExact": true
}
},
"meta": {
"cached": false,
"sources": [],
"warnings": [],
"duration_ms": 42,
"next_actions": []
},
"service": "data.contract",
"version": "1",
"request_id": "018f1f54-7f38-7ba2-8dc3-5f90272d9f1a"
}
}Tags
x402
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