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ForgeMesh Common Car Problems Lookup
x402
ForgeMesh Common Car Problems Lookup is a paid API for AI agents from x402.forgemesh.io, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Returns a ranked list of the most frequently reported defect categories for a given US vehicle, with complaint counts, percentage share, and crash/fire severity totals.
Price / call$0.01
Success—
StatusUnknown
How this service works
Common problems lookup for US vehicles: aggregates every owner-filed defect report into the definitive ranked list of trouble spots — transmission, airbags, brakes, electrical — with complaint counts, percentage share, and crash/fire severity totals. Built for used-car advisors and mechanic triage agents.
Output
A ranked list of up to 25 vehicle components or systems (e.g. transmission, airbags, brakes, electrical) with the number of owner-filed NHTSA complaints, each component's percentage share of total complaints, and cumulative crash and fire severity counts for that vehicle make/model/year.
Example use cases
Pre-purchase used car inspection triage
“I'm about to buy a 2015 Toyota Camry — can you pull up the most common problems owners have reported for that car, including which ones involve crashes or fires? Show me the top 10.”
VIN-based reliability check for a client
“My client is looking at a car with VIN 1HGCM82633A004352 — can you look up the most frequently reported defects for that vehicle so we know what to watch out for?”
Mechanic shop intake prioritization
“A 2013 Ford F-150 just came into the shop and the owner isn't sure what's wrong — what are the top 5 most commonly reported problem areas for that make, model, and year so I know where to start?”
Technical details
Endpoint
POSThttps://x402.forgemesh.io/common-car-problemsWhen to prefer
Choose this endpoint when an agent needs ranked, owner-filed defect data for a specific US vehicle — especially for pre-purchase due diligence, mechanic intake triage, or used-car advisory workflows. It is preferable over general web search when you need structured, quantified complaint data (counts, percentages, crash/fire severity) rather than editorial reviews. It accepts either a VIN or make/model/year, making it flexible for both dealer and consumer contexts.
Side effects
- Unknown or invalid VIN returns an error or empty result
- Unrecognized make/model/year combination returns no data
- Requesting limit outside 1–25 range returns a validation error
- Vehicle with very few complaints may return sparse or empty ranked list
- Missing all of make, model, model_year, and VIN results in a bad request error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| vin | string | VIN — decoded automatically (alternative to make/model/model_year) |
| make | string | e.g. honda |
| limit | integer | top N components (default 10) |
| model | string | e.g. accord |
| model_year | string | 4-digit year |
Tags
x402
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