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CarVector Vehicle Data API
x402
CarVector Vehicle Data API is a paid API for AI agents from api.carvector.io, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-02).
Looks up structured vehicle data (make, model, year, horsepower) for one or more vehicles in a single API call
Price / call$0.01
Success—
StatusUnknown
How this service works
CarVector vehicle data — single API call
Output
Returns a paginated list of vehicle records, each containing a unique vehicle ID, make, model, year, and horsepower. Also includes total count, limit, and offset for pagination.
Example use cases
Car comparison for a buyer
“I'm deciding between a BMW M3 and a Porsche 911 — can you pull up the horsepower and year data for both from the vehicle database so I can compare them?”
Auto blog content enrichment
“I'm writing an article about high-performance sedans — can you fetch the specs for the BMW M3, including year and horsepower, so I can include accurate figures?”
Used car listing verification
“A seller is claiming their 2022 BMW M3 has 503 horsepower — can you look that up in the vehicle database and confirm whether those specs are accurate?”
Technical details
Endpoint
POSThttps://api.carvector.io/v1/vehicles?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need structured, authoritative vehicle specification data including make, model, year, and horsepower in a single fast call. Ideal for automotive apps, comparison tools, content enrichment pipelines, or any agent workflow that needs to validate or display car specs. Prefer this over scraping web sources or relying on general LLM knowledge for precise vehicle figures.
Side effects
- No matching vehicles found for the query parameters — returns empty results array
- Invalid or unsupported query parameters — may return 400 error
- Payment failure via x402 protocol — call not processed
- Rate limiting if too many calls are made in a short period
- Incomplete or missing data for niche or rare vehicle models
Output
Schema · Response
{
"count": 1,
"limit": 10,
"offset": 0,
"results": [
{
"id": "tpqep1eykfzk352",
"make": "BMW",
"year": 2029,
"model": "M3",
"horsepower": 503
}
]
}Tags
x402
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