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ForgeMesh Vehicle Top Failures Report
x402
ForgeMesh Vehicle Top Failures Report 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 ranked consumer defect complaint data for a US vehicle by year/make/model or VIN, including top failure components with complaint counts and percentage share, plus crash, fire, injury, and death totals.
Price / call$0.01
Success—
StatusUnknown
How this service works
Reliability intelligence for any US-market vehicle: every consumer defect complaint on file for a year/make/model (or VIN) aggregated into a ranked top-failure-components report — complaint counts and percentage share per component, plus crash, fire, injury, and death totals. One call answers 'what actually breaks on this car?' For buy/avoid decisions, warranty pricing, and inspection checklists.
Output
A ranked list of the top N failure components for the specified vehicle, each with a complaint count and percentage share of total complaints. Also includes aggregate totals for crashes, fires, injuries, and deaths across all complaints on file for that year/make/model or VIN.
Example use cases
Used car pre-purchase inspection
“I'm thinking about buying a 2015 Jeep Grand Cherokee — can you pull the top 10 failure components from consumer complaints so I know exactly what to inspect and whether to walk away?”
Warranty pricing for a vehicle
“I need to price an extended warranty for a 2019 Ford F-150. Can you get me the ranked defect complaint breakdown — top failure parts, complaint percentages, and any fire or injury counts — so I can assess the risk?”
VIN-based reliability check
“The VIN on this car I'm looking at is 1HGBH41JXMN109186 — can you run it through the vehicle defect database and show me the top failure components and how many complaints involve crashes or injuries?”
Technical details
Endpoint
POSThttps://x402.forgemesh.io/vehicle-top-failuresWhen to prefer
Use this endpoint when you need structured, ranked failure intelligence for a specific US-market vehicle — particularly for buy/avoid decisions, pre-purchase inspections, warranty risk pricing, or building inspection checklists. Prefer over generic review sites when you need quantified complaint data (counts, percentages) broken down by component, plus safety severity signals (crash, fire, injury, death counts) in a single structured call.
Side effects
- Unknown make/model/year combination returns empty or no-data response
- Invalid or undecodable VIN returns an error
- Rare or low-volume vehicles may have too few complaints to rank meaningfully
- Model year outside available data range returns no results
- Request missing both VIN and make/model/year returns a validation 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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