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24K Labs User-Agent Parser
x402
24K Labs User-Agent Parser 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).
Parses a User-Agent string into structured fields: browser, version, rendering engine, OS, device class, and flags for known bots and AI crawlers (GPTBot, ClaudeBot, PerplexityBot).
Price / call$0.002
Success—
StatusUnknown
How this service works
Parse a User-Agent string into browser, version, engine, OS, device class, and bot/AI-crawler flag (GPTBot, ClaudeBot, PerplexityBot).
Output
Returns a structured object with browser name, browser version, rendering engine, operating system name and version, device class (desktop/mobile/tablet/bot), and boolean flags indicating whether the user-agent belongs to a known bot or a specific AI crawler (GPTBot, ClaudeBot, PerplexityBot).
Example use cases
AI crawler traffic detection
“I'm seeing a spike in traffic to my site. Can you parse this user-agent — 'Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; GPTBot/1.0; +https://openai.com/gptbot)' — and tell me if it's an AI crawler and which one?”
Mobile vs desktop device classification
“Given this user-agent string 'Mozilla/5.0 (iPhone; CPU iPhone OS 16_0 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.0 Mobile/15E148 Safari/604.1', what device class and OS does it represent?”
Browser version analytics enrichment
“I need to enrich my server logs — can you parse this user-agent 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/117.0' and give me the browser name, version, and rendering engine?”
Technical details
Endpoint
POSThttps://api.24klabs.ai/api/v1/user-agent-parseWhen to prefer
Choose this endpoint when you need structured, machine-readable decomposition of a raw User-Agent string, especially when detecting AI crawlers (GPTBot, ClaudeBot, PerplexityBot) is a priority. It is more suitable than regex-based solutions for agents that need reliable bot/AI detection without maintaining their own UA-parser libraries. At $0.002 per call it is cost-effective for on-demand log enrichment or real-time request classification.
Side effects
- Empty or missing user-agent string returns a validation error
- Malformed or truncated user-agent strings may result in partial/unknown fields
- Unrecognized or novel AI crawlers not yet in the database will not be flagged
- Payment failure or insufficient USDC balance blocks the request
- Rate limiting may occur under high-volume usage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| ua | string |
Output
Schema · Response
{
"type": "json",
"example": {
"os": "Windows",
"device": "desktop",
"is_bot": false,
"browser": "Chrome"
}
}Tags
x402
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