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Delx Schema Inference
x402
Delx Schema Inference is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-13).
Infers field types and nullability from a bounded array of JSON records, returning a deterministic machine-readable schema summary.
Price / call$0.003
Success—
StatusUnknown
How this service works
Infer observed field types and nullability from bounded JSON records. Use it as a bounded preflight or analysis step inside an enterprise agent workflow before data, policy, integration, security, or commercial decisions reach production. Returns deterministic machine-readable JSON for $0.003 USDC via x402 on Base. Execution is first-party, local-only, stateless, memory-only, and has no paid upstream or input retention. Results are advisory; the caller remains responsible for authorization and…
Output
Returns a deterministic machine-readable JSON object describing each observed field name, its inferred type (e.g. string, number, boolean, null), and whether it is nullable, based on the bounded set of input records provided.
Example use cases
Preflight check before data ingestion
“Before I load these API response records into the database, infer the field types and nullability so I can confirm the schema matches what the table expects: [{"order_id": 101, "amount": 49.99, "discount": null}, {"order_id": 102, "amount": 20.00, "discount": 5.0}].”
Schema profiling for unknown webhook payload
“I just received a batch of webhook events and I'm not sure about their structure — can you infer the field types and which fields are nullable from these records: [{"event": "click", "ts": 1700000000, "user": null}, {"event": "view", "ts": 1700000001, "user": "u_42"}]?”
Data quality audit before policy decision
“Before we apply our data-sharing policy to this dataset, run a schema inference on these sample records to tell me what types and nullability we're dealing with: [{"country": "US", "age": 30, "consent": true}, {"country": null, "age": 25, "consent": false}].”
Technical details
Endpoint
POSThttps://api.delx.ai/api/v1/x402/schema-inferenceWhen to prefer
Use this endpoint when you need a fast, stateless, deterministic schema profile of a bounded JSON record set as a preflight step — especially inside enterprise agent workflows before data ingestion, policy enforcement, or integration decisions. Prefer it over general-purpose LLM schema guessing when you need machine-readable, reproducible type and nullability output with no data retention and a low fixed cost.
Side effects
- Empty records array returns no field data or an error indicating insufficient input
- Non-array input for records field causes a validation error
- Extremely heterogeneous fields with conflicting types may result in ambiguous or union-type annotations
- Payment failure via x402 prevents execution and returns a 402 response
- Malformed JSON in records causes a parse error response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array | Input field: records. |
Output
Schema · Response
{
"type": "json",
"example": {
"fields": {
"id": {
"types": {
"int": 2
},
"nullable": false
},
"active": {
"types": {
"bool": 2
},
"nullable": false
}
},
"schema": "delx/util-schema-inference/v1",
"advisory": "Inference describes observed samples; it is not a validation contract.",
"record_count": 2
}
}Tags
x402
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