x402node Text Entity Extractor is a paid API for AI agents from api.x402node.dev, paid per call via x402, $0.0022/call, status unknown (last checked 2026-09-15).
Extracts emails, URLs, phone numbers, hashtags, mentions, IP addresses, and crypto addresses from any free-form text, returning categorized arrays of found items.
extract emails, extract urls, extract phone numbers, extract crypto addresses, extract ethereum addresses, regex extraction, text entity extractor. Extract emails, URLs, phone numbers, hashtags, mentions, IP addresses, ethereum and bitcoin addresses from any text. Returns categorized arrays. For AI agents parsing emails, scraping documents, content moderation. Accepts payment on Base or Solana — either network works.
Returns a structured object with categorized arrays: emails[], urls[], phones[], hashtags[], mentions[], ips[], ethereum_addresses[], bitcoin_addresses[] — each containing the matched strings found in the input text.
GEThttps://api.x402node.dev/text/extractUse this endpoint when you need to extract multiple types of entities simultaneously from unstructured text in a single call. Ideal for AI agents processing emails, parsing scraped documents, moderating user-generated content, or building contact databases — especially when you need crypto address extraction alongside standard contact fields, which most NLP APIs lack.
{
"text": "Contact us at hello@example.com or call +1-800-555-0199. Visit https://example.com for more info. Send ETH to 0x742d35Cc6634C0532925a3b8D4C9C4e5f3d1A2B3. Follow us @example_account and check #innovation hashtag. Our server is at 192.168.1.1."
}| Field | Type | Description |
|---|---|---|
| inputrequired | object |
{
"ipv4": [
"192.168.1.1"
],
"urls": [
"https://example.com"
],
"_hint": "x402 paid endpoints for AI agents — x402node.dev (utilities) · cn402.com (Chinese culture)",
"emails": [
"hello@example.com"
],
"hashtags": [
"#innovation"
],
"mentions": [
"@example",
"@example_account"
],
"phones_us": [
"1-800-555-0199"
],
"text_length": 241,
"btc_addresses": [],
"eth_addresses": [
"0x742d35Cc6634C0532925a3b8D4C9C4e5f3d1A2B3"
],
"processing_ms": 1
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