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ONE Engine Text Token Identifier Extraction (t4)
x402
ONE Engine Text Token Identifier Extraction (t4) is a paid API for AI agents from one-search.one-engine.workers.dev, paid per call via x402, $0.0015/call, status unknown (last checked 2026-10-02).
Extracts or identifies token-level identifiers from a block of text up to 50,000 characters.
Price / call$0.0015
Success—
StatusUnknown
How this service works
Low-cost pay-per-call utility APIs for autonomous agents using x402 on Base.
Output
A JSON object containing the extracted token identifiers and structured information found within the submitted text, such as named tokens, reference codes, entity identifiers, or other structured identifiers parsed from the input.
Example use cases
Extract IDs from customer support logs
“I have a raw customer support ticket that mentions order numbers, account IDs, and product codes all mixed into the text — can you pull out all those identifiers from it? Here's the ticket: 'Hi, my account ACC-2219 has a pending order ORD-88723 for item SKU-4421 that hasn't shipped yet.'”
Parse identifiers from a legal document excerpt
“I need to identify all the structured tokens and reference codes in this contract clause — things like case numbers, clause IDs, or party identifiers. Here's the text: 'Pursuant to clause CL-14B, Party ID P-0042 agrees to terms outlined in agreement AGR-2023-009.'”
Token extraction for data pipeline ingestion
“Before I load this batch of unstructured records into my database, I need to extract all the token-level identifiers from this text so I can index them properly: 'Transaction TX-9981 linked to account BA-1122 processed under batch BATCH-20240401-07.'”
Technical details
Endpoint
POSThttps://one-search.one-engine.workers.dev/v3/text-token/identifiers/t4?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to extract or identify token-level identifiers from free-form or semi-structured text at very low per-call cost via x402 micropayments on Base. It is well-suited for agentic pipelines that process many documents and need a cheap, scalable identifier extraction step without committing to a heavyweight NLP platform.
Side effects
- Text exceeds 50,000 character limit — request rejected
- Empty or missing 'text' field — validation error returned
- Payment not included or insufficient USDC — 402 Payment Required response
- Malformed JSON body — 400 Bad Request
- Text contains no recognizable identifiers — empty or minimal result set returned
- Transient worker availability issues — 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| textrequired | string | Text up to 50000 characters |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
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