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24K Labs Entity Extractor
x402
24K Labs Entity Extractor is a paid API for AI agents from api.24klabs.ai, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Extracts structured entities (emails, URLs, IPs, phone numbers, hashtags, mentions, money amounts, dates) from raw text using regex-based pattern matching.
Price / call$0.002
Success—
StatusUnknown
How this service works
Regex-based entity extraction: pulls emails, URLs, IPv4 addresses, phone numbers, hashtags, mentions, money amounts, and dates out of raw text.
Output
Returns a structured object mapping each entity type (emails, urls, ipv4, phones, hashtags, mentions, money, dates) to an array of matched strings found in the input text. Entity types with no matches return empty arrays.
Example use cases
Parse contact details from emails
“I have this block of email body text from a client inquiry — can you pull out all the email addresses, phone numbers, and any URLs they mentioned? Here's the text: 'Hi, I'm Sarah. Reach me at sarah@clientco.com or call 415-555-0147. Also check out our site at https://clientco.com anytime.'”
Extract IPs and dates from server logs
“Here's a chunk of server log output — can you find all the IPv4 addresses and timestamps or dates in it? Text: '2025-03-10 ERROR: connection refused from 192.168.1.45, retry at 2025-03-11 by admin@infra.io'”
Pull hashtags and mentions from social post
“I've got a batch of raw social media post text and I need to pull out all the hashtags, @mentions, and any money amounts from them. Here's the first one: 'Shoutout to @techguru for the $99 deal! #AItools #productivity check https://deal.io'”
Technical details
Endpoint
POSThttps://api.24klabs.ai/api/v1/entity-extractWhen to prefer
Choose this endpoint when you need fast, deterministic, regex-based extraction of common entity types from raw text without the overhead or cost of an LLM. Ideal for structured log parsing, contact info extraction from form submissions, or preprocessing text before further analysis. Prefer over NLP-heavy alternatives when speed and consistency matter more than handling ambiguous or conversational phrasing.
Side effects
- Empty or whitespace-only input returns all empty arrays
- Very long text inputs may hit payload size limits
- Regex patterns may miss non-standard formats (e.g. internationalized phone numbers, non-English date formats)
- Malformed request body returns a 400 error
- Rate limiting or quota exceeded returns a 429 or error response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"total": 5,
"entities": {
"urls": [
"https://x.io"
],
"emails": [
"ops@x.io"
],
"mentions": [
"@dev"
]
}
}
}Tags
x402
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