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24K Labs Regex From Text
x402
24K Labs Regex From Text is a paid API for AI agents from api.24klabs.ai, paid per call via x402, $0.008/call, status unknown (last checked 2026-09-13).
Generates a regular expression from a plain-English description, along with a short explanation of how it works.
Price / call$0.008
Success—
StatusUnknown
How this service works
Generate a regular expression from a plain-English description, with a short explanation.
Output
Returns a regular expression pattern (as a string) derived from the plain-English description, plus a short human-readable explanation of what the regex does and how its components work.
Example use cases
Form input validation regex
“I need a regex that validates a strong password — at least 8 characters, one uppercase, one lowercase, one digit, and one special character. Give me the pattern and a quick explanation.”
Log file pattern matching
“Write me a regex that matches ISO 8601 timestamps like 2024-01-15T08:30:00Z from log lines, and explain how it works.”
URL extraction from text
“Can you give me a regex that matches HTTP and HTTPS URLs including query strings and fragments, and tell me what each part of the pattern means?”
Technical details
Endpoint
POSThttps://api.24klabs.ai/api/regex-from-textWhen to prefer
Use this endpoint when you need to quickly generate a regex from a natural language description without writing it by hand. Ideal for developers, automation agents, or non-technical users who know what they want to match but don't know regex syntax. Prefer this over asking a general-purpose LLM when you want a structured, consistent API response with both the pattern and an explanation bundled together at a fixed low cost.
Side effects
- Description is too vague or ambiguous — may produce a regex that partially matches or over-matches
- Description references a language-specific regex flavor that differs from the one generated
- Extremely complex patterns may be incomplete or incorrect — should be validated before production use
- Non-English or very technical input may reduce generation quality
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| description | string |
Output
Schema · Response
{
"type": "json",
"example": {
"regex": "..."
}
}Tags
x402
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