> For the complete documentation index, see [llms.txt](https://docs.vsat.dev/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.vsat.dev/readme.md).

# Introduction

> Request-based DataDome solver. Fetch the challenge your target served, send it here, and replay the returned payload from your own transport, using the same User-Agent, TLS fingerprint, IP, and header order for the whole flow. No headless browser, no per-solve cold start.

**Base URL:** `https://api.vsat.dev`

## Endpoints

| method | path            | solves                                        |
| ------ | --------------- | --------------------------------------------- |
| POST   | `/interstitial` | interstitial device check (`rt:'i'`)          |
| POST   | `/slider`       | slider captcha, `noPuzzle` variant (`rt:'c'`) |
| POST   | `/tags`         | tags telemetry (POST to the target's `/js`)   |
| GET    | `/health`       | readiness (no auth)                           |

Every POST body is `application/json`; every route except `/health` needs a bearer token. Responses share a common [envelope](/reference/envelope.md).

{% hint style="info" %}
️ Caller-supplied challenge code is executed in an isolated, authenticated sandbox and never reaches the host process.
{% endhint %}

## Quick start

```bash
curl -s https://api.vsat.dev/interstitial \
  -H "Authorization: Bearer $VSAT_TOKEN" \
  -H "content-type: application/json" \
  -d '{"userAgent":"...","deviceLink":"https://geo.captcha-delivery.com/interstitial/?...","html":"<the page you GET>"}'
```

New here? Read [Identify the challenge](/understanding-datadome/identify.md), then the endpoint for what you were served. Before going live, skim [Integration tips](/reference/tips.md).

Machine-readable: [OpenAPI spec](https://api.vsat.dev/openapi.json) · llms.txt


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.vsat.dev/readme.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.