Vehicle Models for a Make and Model Year (NHTSA vPIC)
nhtsavpic/models-for-make-year
Lists the vehicle models the US National Highway Traffic Safety Administration's vPIC database holds for a make in one model year, each with Make_ID, Make_Name, Model_ID and Model_Name. The make is matched as part of a name, not exactly: ford also returns STANFORD CUSTOMS, AFFORDABLE TRAILERS and other makes containing ford, so keep only rows whose Make_Name is the make you mean. The same model can appear on several rows with one Model_ID, so de-duplicate on Model_ID. An unknown make or a year with no filings returns Count 0 and an empty Results, not an error. Data from NHTSA vPIC (a US government source); not an official NHTSA product.
Price
$0.0026 per call
You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $5.
Data source
Data from the US National Highway Traffic Safety Administration's Product Information Catalog and Vehicle Listing (vPIC), a US federal work open for public use. Served by Eden Engine; not an official NHTSA product and not endorsed by NHTSA.
Use it
Five steps: search, inspect, learn, run, settle. No per-tool setup; your agent reaches this tool through the meta-tools it already has.
Connect once and your AI can find and run this tool, and any other it needs.
// 1. search: find the tool
omnial_search({ query: "what you need" })
// 2. inspect: price and input schema
omnial_inspect({ tool: "nhtsavpic/models-for-make-year" })
// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "nhtsavpic/models-for-make-year" })
// 4. run: price the exact call first, then run it
omnial_execute({ tool: "nhtsavpic/models-for-make-year", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "nhtsavpic/models-for-make-year", input: { /* ... */ } })
// 5. settle: the call is charged when it finishes, nothing to doNot connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.
Pricing
Every charge this tool can incur.
| Charge | Price |
|---|---|
Per call | $0.0026 |
- Updated
- Oct 20, 2026
Input and output schemas
Input schema
{
"type": "object",
"required": [
"make",
"model_year"
],
"properties": {
"make": {
"type": "string",
"pattern": "^[A-Za-z0-9][A-Za-z0-9 .&'-]{0,59}$",
"description": "The make, for example honda or land rover. Matched as part of a name, case-insensitively, so ford also matches STANFORD CUSTOMS: filter the rows on Make_Name afterwards."
},
"model_year": {
"type": "integer",
"maximum": 2100,
"minimum": 1950,
"description": "The model year, for example 2020. vPIC already lists next model years (Honda has 57 models for 2027) and is thin for the 1980s (Honda 1980 returns none)."
}
},
"additionalProperties": false
}Output schema
{
"type": "object",
"required": [
"Count",
"Message",
"SearchCriteria",
"Results"
],
"properties": {
"Count": {
"type": "integer",
"description": "Number of rows in Results, duplicates included."
},
"Message": {
"type": "string",
"description": "NHTSA's status text, Results returned successfully."
},
"Results": {
"type": "array",
"items": {
"type": "object",
"required": [
"Make_ID",
"Make_Name",
"Model_ID",
"Model_Name"
],
"properties": {
"Make_ID": {
"type": "integer",
"description": "vPIC's id for the make, for example 460 for FORD."
},
"Model_ID": {
"type": "integer",
"description": "vPIC's id for the model; the key, since rows can repeat."
},
"Make_Name": {
"type": "string",
"description": "The make's name, upper case."
},
"Model_Name": {
"type": "string",
"description": "The model's name as filed."
}
},
"additionalProperties": true
},
"description": "One row per filing. Can repeat a Model_ID, and can include other makes whose name contains the text searched."
},
"SearchCriteria": {
"type": "string",
"description": "The make and model year as NHTSA received them, for example Make:honda | ModelYear:2020."
}
},
"description": "NHTSA's response: the number of rows, a message, the search criteria echoed back, and the model rows in Results.",
"additionalProperties": true
}