Context.dev API: Converting Live Web Content into Structured AI Data
A unified platform enabling real-time web extraction for RAG systems and AI agents.
1Unified Web Data Access
Context.dev functions as an API platform designed to transform live web content into structured data formats. It specifically serves businesses deploying AI agents and retrieval-augmented generation systems. By providing verifiable, up-to-date sources directly from the web, the platform aims to mitigate the common risk of AI models generating inaccurate, hallucinated information.
2Core Extraction Capabilities
The platform enables users to scrape individual URLs or crawl entire domains into clean Markdown or HTML formats. It features built-in support for rendering JavaScript, bypassing anti-bot protections, and managing proxies. This allows developers to focus on data integration rather than the technical complexities of maintaining reliable, large-scale web scraping infrastructure.
3Structured Intelligence Features
Beyond raw scraping, the API supports extracting structured data using user-defined JSON schemas. It includes specialized endpoints for retrieving brand intelligence, such as company logos, style guides, and domain information. These tools are particularly useful for teams needing consistent brand assets and company data for marketing or customer-facing product integrations.
4Research and Agent Workflows
The Answers API allows businesses to deploy agents that submit natural-language queries and receive cited results with source URLs. Users can select between Fast or Ultra modes to balance credit costs with research depth. This functionality is designed to integrate seamlessly into knowledge graphs, RAG pipelines, and internal documentation systems.
5Developer SDKs and Integration
Context.dev provides SDKs for major programming languages including TypeScript, Python, Go, Ruby, and PHP. It supports OAuth, a CLI tool based on MCP, and various connectors for automated workflows. These integrations ensure compatibility with popular AI clients, agent frameworks, and code editors, facilitating rapid deployment within existing technical development stacks.
6Tiered Pricing Structure
The platform utilizes a credit-based pricing model ranging from a free tier with 500 credits to an Enterprise level for high-volume needs. Paid plans start at $25 for developers, scaling up to $499 for high-concurrency applications. Enterprise customers receive custom SLAs, SSO, SAML security features, audit logs, and dedicated support.
7Target User Segments
Primary users include AI-first product teams building chatbots, market intelligence groups monitoring competitor pricing, and content teams managing knowledge bases. Additionally, ML researchers utilize the platform to create datasets for model training and truth-checking. These diverse groups rely on the API to maintain accurate, grounded data for their specific operational requirements.
8Strategic Value Proposition
Context.dev provides a robust solution for organizations prioritizing data reliability and verifiability in AI applications. While users must manage credit consumption and plan selection, the platform offers significant value by automating the extraction of current web context. It stands as a viable candidate for companies seeking to minimize AI hallucinations through grounded data.