# Vehicle Intel (`fiery_dream/vehicle-intel`) Actor

Enterprise-grade vehicle safety and intelligence platform.

Features
VIN Decoding: 100+ data points from 17-character VIN
NHTSA Safety Ratings: 5-star NCAP crash test results
Recall Monitoring: Complete recall history with details
and more!

- **URL**: https://apify.com/fiery\_dream/vehicle-intel.md
- **Developed by:** [Cody Churchwell](https://apify.com/fiery_dream) (community)
- **Categories:** Other
- **Stats:** 14 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Vehicle Intelligence

Enterprise-grade vehicle safety and intelligence platform.

### Features

- **VIN Decoding**: 100+ data points from 17-character VIN
- **NHTSA Safety Ratings**: 5-star NCAP crash test results
- **Recall Monitoring**: Complete recall history with details
- **Consumer Complaints**: NHTSA complaint database analysis
- **EPA Fuel Economy**: Official MPG and emissions data
- **Safety Scoring**: Automatic 0-100 vehicle safety score
- **AI-Powered Analysis**: Expert recommendations and insights

### Data Sources (100% FREE, NO API KEY REQUIRED)

| Source | Data Provided |
|--------|---------------|
| NHTSA vPIC | VIN decoding, 100+ data points |
| NHTSA Safety | 5-star crash test ratings |
| NHTSA Recalls | Complete recall database |
| NHTSA Complaints | Consumer complaint reports |
| EPA Fuel Economy | MPG, emissions, fuel costs |
| GDELT Project | Automotive news monitoring |

### Input Parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| vin | string | 17-character Vehicle Identification Number |
| make | string | Vehicle manufacturer |
| model | string | Vehicle model |
| year | integer | Model year (1980-2026) |
| modules | array | Data modules to fetch |
| include\_ai\_analysis | boolean | Enable AI recommendations |

### Vehicle Safety Score

| Level | Score | Description |
|-------|-------|-------------|
| EXCELLENT | 80-100 | Outstanding safety record |
| GOOD | 65-79 | Above average safety |
| FAIR | 50-64 | Some concerns, review issues |
| POOR | 35-49 | Significant problems documented |
| CRITICAL | 0-34 | Major safety concerns |

### Output

```json
{
  "timestamp": "2024-01-15T14:30:00Z",
  "vin": "1HGBH41JXMN109186",
  "make": "Honda",
  "model": "Accord",
  "year": 2021,
  "vehicle_score": {
    "score": 85,
    "level": "EXCELLENT",
    "description": "Outstanding safety record and reliability.",
    "recalls_count": 1,
    "complaints_count": 3
  },
  "vin_decode": {...},
  "safety_ratings": {
    "overall_rating": "5",
    "overall_front_crash_rating": "5"
  },
  "recalls": [...],
  "complaints": [...],
  "fuel_economy": [...],
  "ai_analysis": "Based on the safety data..."
}
```

### Use Cases

- **Used Car Buyers**: Pre-purchase safety check
- **Fleet Managers**: Vehicle safety compliance
- **Dealers**: Trade-in evaluation
- **Insurance**: Risk assessment
- **Mechanics**: Recall verification
- **Researchers**: Safety trend analysis

### Example Usage

```bash
## By VIN
apify call vehicle-intel -i '{
  "vin": "1HGBH41JXMN109186",
  "include_ai_analysis": true
}'

## By Make/Model/Year
apify call vehicle-intel -i '{
  "make": "Toyota",
  "model": "Camry",
  "year": 2022,
  "modules": ["safety", "recalls", "complaints"]
}'
```

### Pricing

Pay-per-event pricing:

- $0.002 per vehicle report
- $0.001 additional for VIN decode
- AI analysis included when API key provided

| Event | Price |
|-------|-------|
| vehicle-report | $0.002 base |
| VIN decode | +$0.001 |
| Default dataset item | $0.00001 |

### Disclaimer

This tool provides vehicle safety information for research purposes. Always conduct a physical inspection and review complete vehicle history before purchase. Data accuracy depends on NHTSA reporting.

# Actor input Schema

## `vin` (type: `string`):

17-character VIN for complete vehicle decode

## `make` (type: `string`):

Vehicle manufacturer (e.g., Toyota, Ford, Honda)

## `model` (type: `string`):

Vehicle model (e.g., Camry, F-150, Civic)

## `year` (type: `integer`):

Vehicle model year

## `modules` (type: `array`):

Select which data to fetch

## `include_ai_analysis` (type: `boolean`):

Use AI to generate safety recommendations (requires API key)

## `model_name` (type: `string`):

LLM model for analysis

## `query` (type: `string`):

Optional: Specific question about the vehicle

## `api_key` (type: `string`):

API key for the selected AI model (Google AI Studio key for Gemini, OpenAI key for GPT, Anthropic key for Claude)

## Actor input object example

```json
{
  "modules": [
    "vin_decode",
    "safety",
    "recalls",
    "complaints",
    "fuel_economy",
    "news"
  ],
  "include_ai_analysis": true,
  "model_name": "gemini/gemini-2.0-flash"
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("fiery_dream/vehicle-intel").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("fiery_dream/vehicle-intel").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call fiery_dream/vehicle-intel --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=fiery_dream/vehicle-intel",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/cRvdNOfvBkB1ngAY7/builds/PGqzZ0RAuoVHiIZQW/openapi.json