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ForgeMesh Top Failing Components
x402
ForgeMesh Top Failing Components 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 table of the most commonly reported failing components for a given vehicle year/make/model, derived from consumer complaint data, with counts and share percentages.
Price / call$0.01
Success—
StatusUnknown
How this service works
Top failing components for any vehicle: the complete consumer complaint file for a year/make/model distilled into a ranked component-failure table with counts and share percentages, plus severity totals. VIN input is auto-identified. The single-call answer to 'what goes wrong with this car?'
Output
A ranked table of the top N components (default 10, up to 25) most frequently cited in consumer complaints for the specified vehicle, including component name, complaint count, percentage share of total complaints, and severity totals — giving a clear picture of what most commonly goes wrong with that car.
Example use cases
Used car reliability check before purchase
“I'm thinking about buying a 2019 Jeep Grand Cherokee — can you pull the top failing components from consumer complaints so I know what problems to watch out for?”
Fleet vehicle maintenance planning
“We run a fleet of 2020 Ford F-150s — show me the top 15 most complained-about components for that truck so we can prioritize preventive maintenance.”
VIN-based vehicle inspection prep
“I have a VIN — 1HGCM82633A004352 — can you tell me what the top 10 most reported failure points are for that vehicle based on consumer complaints?”
Technical details
Endpoint
POSThttps://x402.forgemesh.io/top-failure-componentsWhen to prefer
Choose this endpoint when you need a fast, single-call answer to 'what goes wrong with this car?' based on aggregated consumer complaint data. It is ideal for used-car due diligence, fleet maintenance planning, or vehicle reliability research where you want ranked component failure data rather than raw complaint records. It supports both VIN input (auto-decoded) and explicit make/model/year, making it flexible for any vehicle lookup scenario.
Side effects
- No complaint data available for the specified year/make/model — returns empty or error
- Invalid or unrecognizable VIN — VIN decoding fails and no vehicle identified
- Model year out of range or not in complaint database — no results returned
- Invalid make/model combination — API returns error or empty set
- Limit value outside 1–25 range — request rejected with 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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