canonical: https://jentic.com/apis/mercedes-benz.com/mercedes-benz-configurator-api

# Mercedes Benz Car Configurator

Jentic publishes the only available OpenAPI specification for Car Configurator, keeping it validated and agent-ready. The Mercedes-Benz Car Configurator API exposes the configuration engine that powers mercedes-benz.com, returning market-scoped masterdata for bodies, classes, models, and lines, building initial valid configurations, applying option changes with rule validation, and persisting saved configurations under shareable IDs. Markets, classes, equipment, and pricing all vary by region, so every operation is parameterised by marketId.

## For AI agents

Build, validate, and persist Mercedes-Benz vehicle configurations across 24 endpoints scoped per market.

## Scope

Does not handle ordering, payment, dealer inventory, or vehicle telematics - use for building, validating, and saving Mercedes-Benz vehicle configurations only.

## Capabilities

- List the bodies, classes, models, and lines available in a specific Mercedes-Benz market
- Retrieve an initial valid configuration for a chosen model and apply option changes with rule validation
- Save a customer-built configuration under a configurationId for retrieval on another device
- Fetch component-level vehicle imagery for an active configuration to preview paint, rim, and trim choices
- Resolve market-scoped pricing and equipment availability before producing a customer quote
- Look up an existing saved configuration by ID and reload it into a new session

## Use cases

### Online dealer build-your-car flow

Dealer sites use the Car Configurator API to recreate the official Mercedes-Benz build experience inside their own UI. /markets, `/markets/{marketId}/models`, /configurations, and /savedConfigurations together cover masterdata, building, and persistence. Server-side rule validation means the dealer site cannot accidentally save an impossible option combination.

Example prompt: GET `/markets/DE/models`, build a configuration via /configurations, change paint via the option-change endpoint, then POST /savedConfigurations to obtain a shareable ID.

### Comparison and quote tooling

Comparison sites use the Configurator API as a live data source for Mercedes-Benz options, instead of scraping. Market-scoped `/markets/{marketId}/classes` and `/markets/{marketId}/models` keep the comparison table accurate as packages and bundles change between model years.

Example prompt: List classes for marketId GB, then for each class enumerate models and persist (modelCode, line, baseEquipment) into the comparison database.

### Showroom kiosk and tablet apps

Dealership kiosks let customers configure a vehicle on-site, save the result via /savedConfigurations, and continue on their phone using the returned ID. Component image endpoints supply renders so the kiosk shows the exact build, not a generic shot.

Example prompt: Save the customer's full C-Class configuration to /savedConfigurations, capture the configurationId, and email a deep link that resolves to GET `/savedConfigurations/{id}.`

### Agent-driven build assistant via Jentic

An AI assistant guides a customer through a Mercedes build conversationally. It calls `/markets/{marketId}/models`, narrows by class, builds via /configurations, and saves the result. Jentic securely stores the apiKey and exposes each operation by intent, so the agent never sees the raw key or the OpenAPI spec.

Example prompt: Search Jentic for 'build a mercedes-benz configuration', load the /configurations schema, execute it with the chosen model and options, then save and return the configurationId.

## Key endpoints

| Method | Path | Description |
| --- | --- | --- |
| GET | `/markets` | List supported markets |
| GET | `/markets/{marketId}/models` | List models in a market |
| GET | `/markets/{marketId}/classes` | List classes in a market |
| GET | `/markets/{marketId}/bodies` | List body styles in a market |
| GET | `/markets/{marketId}/models/{modelId}` | Get model masterdata |

## Key resources

- **Markets** — Region scoping; every operation is parameterised by marketId
- **References** — Bodies, classes, models, and lines per market
- **Configurations** — Initial configurations and option-change operations with server-side validation
- **Saved configurations** — Persist builds under a configurationId and retrieve them later
- **Images** — Component imagery for an active configuration

## Why Jentic

- **Setup:** Wiring the Mercedes-Benz Car Configurator by hand means registering on the developer portal, threading its apiKey into every request against the configurator_tryout host, and coding the market and model path lookups yourself. Through Jentic you install once, import the Car Configurator from the API Directory, store the apiKey once, and your agent calls it.
- **Permission scoping:** The Car Configurator puts the market in the URL path (`/markets/{marketId}/models/{modelId}`), so a rule can pin your agent to one market and the models under it. You choose the operations it may call, and every endpoint here is a read-only GET for building and validating configurations, so a rule can grant model and body lookups without exposing anything that writes.
- **Credential handling:** Your Mercedes-Benz apiKey is stored once, encrypted, by your own Jentic One instance and injected at request time. It never enters the agent's prompt, logs, or context.
- **Discovery method:** Agents search Jentic by intent such as 'build a Mercedes configuration' or 'list models for a market', and Jentic returns the matching Car Configurator operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

## Related APIs

- **Vehicle Image** — Returns full-vehicle imagery for a configured Mercedes-Benz once the configurator has produced a model code.
- **Dealer** — Routes a saved configuration to the closest authorised Mercedes-Benz dealer for finalisation.
- **CarAPI** — Multi-brand vehicle specification and trim data, broader than Mercedes alone.

## FAQ

### Why is there no official OpenAPI spec for Car Configurator?

Mercedes-Benz does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Car Configurator via structured tooling. It is validated against the live API and kept up to date. Get started with Jentic One, the self-hosted execution layer.

### What authentication does the Mercedes-Benz Car Configurator API use?

The Configurator API uses an apiKey from the Mercedes-Benz developer portal in the request header. Jentic securely stores the key and injects it at execution time so the agent never sees it directly.

### Can I save a customer's configuration with the Car Configurator API?

Yes. POST to /savedConfigurations with the build payload and the response includes the configurationId, which can be reloaded later via GET `/savedConfigurations/{id}.`

### What are the rate limits for the Mercedes-Benz Car Configurator API?

The spec does not publish numeric limits. Production limits are set per developer portal contract; the tryout host is intended for evaluation traffic only.

### How do I build a Mercedes-Benz vehicle programmatically through Jentic?

Search Jentic for 'build a mercedes-benz configuration', load the /configurations operation schema, and execute it with the chosen marketId, modelId, and options. Jentic returns the validated configuration ready to save.

### Does the Configurator API include component imagery?

Yes. The Images tag returns component renders (paint, rim, trim, upholstery) for an active configuration so a build-your-car UI does not need a separate image library for previews.

### Can I limit what my agent is allowed to do with the Mercedes-Benz Configurator API?

Yes. Because Jentic One is self-hosted, you set the rules that decide which Configurator operations and credentials your agent may use. Every endpoint here is a read-only GET for building and validating configurations, so you can grant lookups like GET `/markets/{marketId}/models` and GET `/markets/{marketId}/models/{modelId}` without exposing anything that writes. Since the market sits in the URL path, a rule can also pin the agent to a single marketId and the models under it.
