doQment
MCP-as-a-service built for AI agents
What is doQment? Complete Overview
doQment is a powerful tool designed to provide contextualized, structured data from websites, ready for use by AI agents. It offers instant MCP (Machine-Controlled Processing) endpoints that allow agents to quickly access and interact with crawled data. The tool is perfect for developers and AI agents who need clean, structured corpora from real websites without the hassle of manual integration. With features like zero integration, ephemeral connections, and tool-native interfaces, doQment simplifies the process of web data extraction and utilization. Target users include AI developers, coding agents, and enterprise teams looking for efficient data contextualization solutions.
doQment Interface & Screenshots

doQment Official screenshot of the tool interface
What Can doQment Do? Key Features
Agent-ready knowledge
doQment provides clean, structured corpora from real websites, making it easy for AI agents to access and utilize the data without additional processing. This feature ensures that the data is immediately ready for tool use, saving time and effort in data preparation.
Instant MCP endpoints
Each crawl returns a scoped MCP connection that can be directly pasted into your agent or coding IDE. This feature eliminates the need for complex setups, allowing users to start querying the data immediately after the crawl completes.
Simple REST → Agent
With a simple POST request, users can start a crawl and attach the MCP connection to their agent. The process is straightforward: POST to start, attach the connection, and query immediately. No additional steps or configurations are needed.
Zero integration
doQment requires no SDKs or glue code. Users can simply paste the MCP connection into their agent, making the integration process seamless and hassle-free.
Ephemeral by default
Connections are scoped with auto-expiring servers, ensuring that data access is temporary and secure. This feature is ideal for users who need short-term access to web data without long-term commitments.
Tool-native interfaces
doQment exposes pages, search, and retrieval as MCP tools, making it easy for agents to interact with the data using familiar tool interfaces.
Rich crawls
The tool captures all pages, images, buttons, forms, tables, and more, providing a comprehensive dataset for analysis and utilization.
Predictable billing
Users pay per use with prepaid credits, ensuring transparency and control over costs. The billing model is designed to be simple and predictable, with no hidden fees.
Best doQment Use Cases & Applications
AI Agent Development
Developers can use doQment to provide their AI agents with structured data from websites, enabling them to perform tasks like data extraction, analysis, and interaction without manual data preparation.
Quick Data Skimming
Users can quickly skim through website data for research or analysis purposes, leveraging the tool's fast crawls and instant MCP connections to access relevant information on the fly.
Deep Website Analysis
For in-depth analysis, users can perform deep crawls to extract comprehensive data from websites, including all pages, images, forms, and tables, providing a rich dataset for thorough examination.
Enterprise Data Contextualization
Enterprise teams can use doQment to contextualize web data for their agents, ensuring that the data is clean, structured, and ready for use in various business applications.
How to Use doQment: Step-by-Step Guide
Start a crawl by sending a POST request to `/api/v1/domains/crawl` with the domain and mode parameters. For example: `{"domain":"https://example.com","mode":"DEFAULT"}`.
Receive the response, which includes a `crawl_id` and `mcp_connection` with an SSE JSON-RPC URL. This connection will be used to interact with the crawled data.
Poll the status of the crawl using the JSON-RPC `crawl/status` endpoint or check it on the dashboard. The MCP connection and tools will only be available once the crawl completes.
Attach the `mcp_connection` details to your agent (e.g., Claude Code, Cursor, etc.). This will allow your agent to start querying the crawled data immediately.
Use the MCP tools to interact with the data, perform searches, and retrieve information as needed. The connection will auto-expire after a few hours, ensuring secure and temporary access.
doQment Pros and Cons: Honest Review
Pros
Considerations
Is doQment Worth It? FAQ & Reviews
A typical session costs around $1.18 for a default crawl (200 pages) with light agenting, $1.48 for a deep analysis session, and $0.48 for a quick skim.
The unlimited plan costs $10 per month and includes unlimited crawls and MCP tool usage. It is ideal for users who exceed approximately 6 full crawls per month.
No, your balance only decreases after successful crawls or tool calls. Failures do not charge credits.
MCP connections auto-expire after a few hours, ensuring secure and temporary access to the crawled data.
Yes, subscriptions can be toggled on/off instantly, and cancellation stops renewals immediately.