KiHustle User-Agent Parser

x402

KiHustle User-Agent Parser is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-20).

Parses a raw HTTP User-Agent string and returns structured information about the client browser, OS, and device.

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

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Output

A JSON object with a result field indicating the parsed outcome and a status field. In practice, the response is expected to contain structured details about the browser, operating system, and device type extracted from the submitted user agent string.

Example use cases

Detect mobile visitors in analytics pipeline

“I have this user agent string from a web request: 'Mozilla/5.0 (Linux; Android 13; Pixel 7) AppleWebKit/537.36 Chrome/114.0.0.0 Mobile Safari/537.36' — can you parse it and tell me if the visitor is on a mobile device and what browser they're using?”

Identify bot traffic from user agent

“Can you parse this user agent and tell me if it looks like a bot or crawler? The string is: 'Googlebot/2.1 (+http://www.google.com/bot.html)'”

Enrich server logs with browser info

“I'm processing server logs and have this raw user agent: 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/117.0' — parse it so I can tag the log entry with the browser name, OS, and device type.”

Technical details

Endpoint

POSThttps://kihustle.tech/bot-bazaar/api/v1/useragent-parser?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a quick, low-cost ($0.001 per call) microservice to parse individual user agent strings on demand, especially in automated pipelines or agent workflows where you want to enrich HTTP request data with browser, OS, and device metadata without integrating a full analytics SDK.

Side effects

Missing or empty user_agent field returns an error or null result
Malformed or non-standard user agent strings may return incomplete or generic parse results
Very new or uncommon user agent formats may not be recognized correctly
Service may return a generic success envelope even if parsing yields no meaningful data due to the sparse response schema

Input

Schema · Request body

Field	Type	Description
user_agent	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": "processed",
    "status": "success"
  }
}

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