The pipeline version of ai-extract
The pipeline version of ai-extract: send up to 10 documents (text1=…&text2=… or texts= with ||| separators) and one field list — get one schema-enforced JSON object per document, in order, from a single paid call. 10 extractions for $0.10 instead of 10x the per-call overhead: built for agents parsing feeds, inboxes, scrape batches and receipt piles. Up to 6K chars per document.
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://402.com.tr/api/x402/ai-extract-batch
| Category | Search and research |
|---|---|
| Provider host | 402.com.tr |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
We never call tools that send, buy, move money or file anything, not even without paying.
Example input (from the provider)
{
"method": "GET",
"pathParams": {},
"queryParams": {
"fields": "invoice_no,company,due_date,total",
"text1": "Invoice #18 from Acme Corp, due 2026-08-01, total $420.50",
"text2": "Invoice #19 from Globex Ltd, due 2026-08-15, total $1,250.00"
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"pathParams": {
"type": "object"
},
"queryParams": {
"properties": {
"fields": {
"description": "Fields (comma-separated)",
"type": "string"
},
"text1": {
"description": "Document 1",
"type": "string"
},
"text2": {
"description": "Document 2 (optional)",
"type": "string"
}
},
"required": [
"text1"
],
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}