Developer platform

AI API for frontier models through one endpoint

Dench API gives teams a unified AI API for applications, agents, internal tools, and automation. Instead of managing separate provider SDKs, keys, billing flows, and request formats, developers can send model calls through a single endpoint built for production usage.

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Python quickstart
import requests

response = requests.post(
    "https://www.dench.com/api/v1/chat/threads",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "model": "gpt-5.4",
        "prompt": "Summarize stale deals and draft next steps."
    }
)

print(response.json())

One endpoint

Route model calls through one OpenAI-compatible API surface instead of wiring every provider separately.

Model switching

Use the same request shape while moving workloads across supported frontier models as needs change.

Usage control

Centralize auth, usage tracking, billing, and rate-limit management for production AI applications.

Built for AI applications

One AI API for apps, agents, and automation

Dench API is for teams building chatbots, code generation tools, content automation systems, internal copilots, and autonomous AI agents. The API is designed to sit between your application and the model layer, so provider decisions can change without forcing every product surface to be rewritten.

The practical benefit is operational simplicity. Your team gets one API key pattern, one place to manage access, one billing surface, and one model gateway for production usage. Developers can ship the first request quickly, while operators still get the controls they need when usage moves from prototype to real customers.

Use Dench API when you want OpenAI, Anthropic, and other frontier models available behind one authenticated endpoint. It is a fit for teams that want model flexibility, cleaner infrastructure, and less vendor-specific glue code in the application layer.

Getting started

From sign-up to first request in minutes

  1. 1

    Create your API key

    Sign in to Dench, open workspace settings, and generate an API key from the API keys tab. Keys are scoped to your organization and can be rotated at any time.

  2. 2

    Send your first request

    POST to the chat endpoint with your key as a Bearer token. The request shape is consistent across every supported model, so the quickstart above works unchanged whichever provider you choose.

  3. 3

    Switch models as needs change

    Change the model parameter to move a workload between OpenAI, Anthropic, and other frontier models — no new SDK, no separate billing account, no rewritten integration.

  4. 4

    Monitor usage in one place

    Track spend, request volume, and rate limits from your Dench dashboard instead of reconciling invoices across multiple provider consoles.

Common questions

What AI models does Dench API support?

Dench API supports frontier models from OpenAI, Anthropic, and other leading providers through a single unified endpoint. New models become available without any integration changes on your side.

How do I authenticate with the Dench API?

Create an API key in your Dench workspace settings, then pass it as a Bearer token in the Authorization header for each request.

Can I switch models without rewriting my application?

Yes. Requests use one consistent shape regardless of provider, so moving a workload from one model to another is a one-line change to the model parameter — no new SDK, keys, or billing setup.

What can I build with the Dench API?

Teams use Dench API for chatbots, code generation, content automation, internal copilots, and autonomous AI agents — anywhere an application needs authenticated access to frontier models with centralized usage tracking and rate-limit management.