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ONE Engine Text Token Mentions Extractor
x402
ONE Engine Text Token Mentions Extractor 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 and counts token-level mentions 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
Returns a structured JSON object containing extracted token mentions found within the input text, including their occurrences and context metadata.
Example use cases
Crypto news token mention tracking
“Take this crypto news article and pull out every token or coin mention in it so I can see which assets are being discussed: 'Markets rallied as BTC hit all-time highs, ETH broke $4000, and Solana saw record DEX volume, while DOGE and SHIB trended on social media.'”
Research doc entity reference extraction
“I have this research document and I need you to extract all token-level mentions from it so I can build a frequency index: 'The Federal Reserve's FOMC cited USD strength, with EUR/USD and GBP/USD both weakening, as JPY intervention speculation grew.'”
Social post mention audit
“Extract all the token or symbol mentions from this batch of social media post text so I can figure out what assets people are talking about: 'Loving the $ETH pump today! $BTC still my main hold but $ARB and $OP are looking juicy this cycle.'”
Technical details
Endpoint
POSThttps://one-search.one-engine.workers.dev/v3/text-token/mentions/t4?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, pay-per-call token mention extraction from text without committing to a heavier NLP pipeline or subscription. Ideal for agent workflows that process variable volumes of text and want deterministic mention identification at low per-call cost ($0.0015 USDC) using x402 on Base. Prefer this over full NLP services when you only need mention-level extraction and not full sentiment, relation, or semantic parsing.
Side effects
- Text exceeds 50,000 character limit — request rejected or truncated
- Empty or missing 'text' field — validation error returned
- Malformed JSON request body — 400 error
- Payment not included or insufficient USDC via x402 — 402 Payment Required response
- No recognizable token mentions in text — empty or minimal result set returned
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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