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Vextorium User-Agent Parser
x402
Vextorium User-Agent Parser is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-16).
Parses a User-Agent string to extract browser, OS, device brand/model, device type, and bot/AI-crawler detection
Price / call$0.003
Success—
StatusUnknown
How this service works
Parse a User-Agent string: browser and version, OS and version, device brand and model, device type (mobile, tablet, desktop) and whether it is a bot, an AI crawler (GPTBot, ClaudeBot...) or an HTTP library.
Output
Returns a JSON object with the parsed device type (mobile, tablet, desktop), device brand and model, browser name and version, OS name and version, the original user agent string, a boolean flag indicating if it is a bot, and a field identifying the specific AI crawler (e.g. GPTBot, ClaudeBot) if applicable (null otherwise).
Example use cases
Bot and AI crawler traffic filtering
“I'm seeing a spike in traffic and want to know if these user agent strings are from bots or AI crawlers like GPTBot or ClaudeBot — can you parse each one and flag which are bots?”
Mobile vs desktop analytics segmentation
“Parse this user agent string for me and tell me if it's from a mobile phone, tablet, or desktop so I can segment my analytics correctly: 'Mozilla/5.0 (Linux; Android 13; SM-G991B) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/112.0.0.0 Mobile Safari/537.36'”
HTTP library scraper detection
“Can you check this user agent and tell me if it's from a real browser or just an HTTP library or script? I want to block automated non-browser requests from my API.”
Technical details
Endpoint
POSThttps://api.vextorium.com/analizar-user-agent-pago?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured parsed output from a raw user-agent string, especially when bot detection and AI-crawler identification (GPTBot, ClaudeBot, etc.) are required alongside standard browser/OS/device parsing. Prefer it over client-side libraries when operating server-side in an agent pipeline without access to a local ua-parser library, or when you need AI crawler detection that generic parsers don't cover.
Side effects
- Missing or empty user_agent field returns a validation error
- Malformed or truncated user-agent string may result in null values for most parsed fields
- Unknown or highly custom user-agent strings may return partial results with nulls
- Payment failure (x402) if USDC balance is insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| user_agent | string |
Output
Schema · Response
{
"type": "json",
"example": {
"tipo": "movil",
"marca": "Apple",
"bot_ia": null,
"es_bot": false,
"modelo": "iPhone",
"sistema": "iOS",
"navegador": "Mobile Safari",
"user_agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 17_4 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.4 Mobile/15E148 Safari/604.1",
"dispositivo": "iPhone",
"version_sistema": "17.4",
"version_navegador": "17.4"
}
}Tags
x402
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