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ForgeMesh Gas Mileage Lookup
x402
ForgeMesh Gas Mileage Lookup is a paid API for AI agents from x402.forgemesh.io, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).
Returns authoritative city/highway/combined MPG, fuel type, greenhouse-gas score, and estimated annual fuel cost for any US light-duty vehicle model year 1984 or newer, accepting VIN, make/model/year, or a specific variant ID.
Price / call$0.005
Success—
StatusUnknown
How this service works
Gas mileage checker: authoritative city/highway/combined MPG for any US light-duty vehicle model year 1984 or newer, with fuel type, greenhouse-gas score, and estimated annual fuel spend. VIN input is decoded automatically; fuzzy model matching bridges naming differences. For automotive and budgeting agents.
Output
Returns city MPG, highway MPG, combined MPG, fuel type (e.g. regular gasoline, diesel, electric), EPA greenhouse-gas score, and estimated annual fuel expenditure in dollars for the matched vehicle. If a VIN is supplied it is decoded automatically. If the model name is ambiguous, other available variants are listed with their IDs so the caller can refine the query.
Example use cases
Pre-purchase fuel cost comparison
“I'm deciding between a 2022 Honda CR-V and a 2022 Mazda CX-5 — can you pull up the city and highway MPG and estimated annual fuel cost for both so I can compare running costs?”
VIN-based fleet fuel audit
“I have a VIN: 1HGBH41JXMN109186 — can you look up the EPA fuel economy ratings and greenhouse-gas score for that specific vehicle?”
Budget planning for commuter car
“How much would I spend on gas per year driving a 2020 Chevrolet Equinox, and what are its combined MPG and fuel type?”
Technical details
Endpoint
POSThttps://x402.forgemesh.io/gas-mileage-lookupWhen to prefer
Choose this endpoint when you need official EPA-sourced fuel economy data (city/highway/combined MPG), greenhouse-gas scores, or annual fuel cost estimates for any US light-duty vehicle from 1984 onward. It is ideal for automotive research agents, car-buying assistants, and personal finance agents that need standardized fuel efficiency data. It accepts VINs directly (no separate VIN decoder needed) and handles fuzzy model name matching, making it more robust than raw database queries.
Side effects
- Vehicle model year before 1984 returns no data — only 1984 and newer are covered
- Ambiguous make/model/year combination returns multiple variants requiring a follow-up with vehicle_id
- Invalid or unrecognized VIN returns a decode error
- Non-US vehicles or heavy-duty trucks may not be in the EPA dataset
- Misspelled make or model may fail if fuzzy matching cannot resolve it
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| vin | string | VIN — decoded automatically (alternative to make/model/model_year) |
| make | string | e.g. Honda |
| model | string | e.g. Accord |
| model_year | string | 4-digit year, 1984+ |
| vehicle_id | integer | exact variant id from other_variants |
Tags
x402
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