Turn websites and GitHub repositories into persistent, searchable knowledge. Bulkgrid handles indexing, storage, and syncing, so your agents can retrieve context whenever they need it.
Works with
Start with an indexed source or add your own. Bulkgrid turns its content into searchable knowledge, tracks changes, and makes it available to your AI.
Select from ready-to-use public sources or add your own websites and private GitHub repositories. Bulkgrid handles the indexing automatically for you.
Group and organize sources into Collections to give each agent exactly the knowledge it needs. Reuse sources across multiple agents.
Retrieve relevant, referenced context through API, SDK or MCP. No retrieval infrastructure to build or maintain.
Bulkgrid monitors your sources for changes and automatically refreshes indexed content, keeping your agents' knowledge up to date.
Traditional search and crawl workflows fetch and process webpages to find relevant information. Bulkgrid retrieves the context your agents need directly from indexed sources, reducing unnecessary processing, latency, and token costs.
Find and fetch information from the web whenever your agent needs it.
Time to answer
18 s
User: How do I implement Stripe subscriptions in Next.js with Supabase?
Retrieve relevant context from your indexed sources, always ready when your agents need it.
Time to answer
8.4 s
User: How do I implement Stripe subscriptions in Next.js with Supabase?
Both workflows use GPT‑6 Astra to generate the answer. Bulkgrid retrieves indexed passages directly, avoiding the extra LLM filtering step shown here.
| Metric | Search & Crawl | Bulkgrid |
|---|---|---|
| Context ready | 10 s | 400 ms |
| Time to answer | 18 s | 8.4 s |
| Pages crawled per query | 12 | 0 |
| Content input tokens across LLM calls | 25,200 | 1,200 |
| Estimated LLM cost · GPT-6 Astra | $0.302 | $0.037 |
Calculated using GPT-6 Astra Standard short-context rates of $10 per million uncached input tokens and $50 per million output tokens, checked October 11, 2026. Assumes 500 output tokens per call: one filtering call plus one final answer for Search & Crawl, and one final answer for Bulkgrid. Excludes additional reasoning tokens, prompt overhead, cache effects, search and crawling fees, Bulkgrid retrieval fees, subscriptions, indexing, and storage. OpenAI API pricing (opens in a new tab).
Index websites and GitHub repositories, track changes, and give your agents access to relevant content with references.
Index websites and public or private GitHub repositories into searchable content for your AI.
Track additions, updates, and removals, and refresh indexed content on your configured schedule.
Search your selected sources and retrieve relevant passages with references through MCP, API, or SDKs.
Extract structured data from webpages using your own schema for downstream workflows.
Give your AI agents access to the documentation and knowledge they depend on. Bulkgrid handles indexing, retrieval, and synchronization so you can focus on building.
AI Support Agents
Give AI support agents access to product documentation, help centers, and support policies. Keep knowledge up to date as your product evolves. Why it works: Support agents repeatedly search the same product knowledge, making managed retrieval valuable. Bulkgrid retrieves relevant passages from the sources you choose, with references your team can verify.
Outcome
Documentation Assistants
Make entire documentation websites and repositories searchable through one API. Retrieve relevant information without managing crawling, indexing, or vector databases. Why it works: This directly demonstrates Bulkgrid's core functionality and is easy for developers to understand. Bulkgrid retrieves relevant passages from the sources you choose, with references users can verify.
Outcome
AI Coding Agents
Connect framework documentation, API references, and private repository documentation. Give coding agents access to relevant, up-to-date technical knowledge. Why it works: Highlights your existing public source library and the value of combining documentation from multiple technologies.
Outcome
Building retrieval for AI agents shouldn't mean managing crawlers, embeddings, vector databases, and synchronization jobs. Bulkgrid handles the entire pipeline, giving your agents persistent access to searchable, up-to-date knowledge through one API.
No infrastructure to build or maintain.
The AI Knowledge Layer
The AI Knowledge Layer
Connect your applications and AI agents to searchable, up-to-date knowledge through API, SDKs, CLI, or MCP. No complex setup or retrieval infrastructure required.
Add source management and retrieval to your application with typed SDKs for TypeScript and Python.
Connect your AI agent to trusted sources and let it discover, search, and read relevant content.
Build source management, search, and structured extraction into your own workflows.
Manage sources and search indexed content from your terminal or scripts.
const results = await bulkgrid.search({
query: "How do I implement authentication?",
collectionId,
limit: 3
});Using your configured Bulkgrid client and Collection ID.
Sample result · excerpt
{ "results": [ { "title": "Authentication", "text_content": "Validate sessions first." } ]}Every team works differently - that's why our pricing is flexible. Pick the plan that fits your workflow today and adjust anytime as your projects evolve.
Everything you need to know about how Bulkgrid works and what it solves.
Explore indexed documentation and repositories. Add sources to your workspace and make them available to your AI agents in seconds.
The AI SDK documentation guides developers in building and integrating AI applications, agents, and custom providers. Learn to implement LLM text generation, streaming, and agent skills, and troubleshoot common issues to build AI-powered applications and agents.
Better Auth documentation provides guides for implementing authentication features like 2FA and OAuth, alongside integrating with frameworks and managing the Better Auth infrastructure. It also includes resources for AI integration and agentic workflows.
This ChatGPT documentation guides AI agents on managing security vulnerabilities, customizing agent behavior, and integrating with third-party systems. It enables agents to generate and verify security patches or perform code reviews within complex deployments.
Cloudflare documentation guides AI agents in developing serverless and real-time applications, securing networks with Zero Trust, and managing configurations. Agents can leverage this knowledge to implement custom network rules, deploy Workers, or integrate Cloudflare services using API and Terraform.
Explore code.claude.com documentation for developing and configuring AI agents using the Agent SDK, managing plugins, and integrating with external systems via MCP and plugins. This resource also covers automated code review, cost management, and customizing self-hosted environments for agent operations.
Docker documentation provides comprehensive guidance for developing and deploying AI agents, building and orchestrating containerized applications, and securing your software supply chain. Leverage API and CLI references to automate AI agent workflows, manage container deployments, and enhance supply chain security.