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Keenable.ai

Keenable provides web search infrastructure purpose-built for AI agents and large language models, offering one of the largest independent web indexes with a Search API that delivers results in under 250 milliseconds. Its flagship SELECT tool lets agents query the web using SQL-like syntax, transforming unstructured pages into structured data tables for analytical tasks like aggregating competitor pricing. The service is in production at several AI labs and inference providers, with pricing starting at $4 per 1,000 requests after a free monthly allowance of 100,000 requests.

Traction 10/10
San Francisco, United States · HQ
Founded 2025171K+ followers
  • Artificial Intelligence
  • Developer Tools
  • AI Agents
  • Software Only
Updated 14 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

AI agents and large language models struggle to access web knowledge effectively using traditional search APIs, which return human-oriented "10 blue links" and snippets. These tools are expensive, slow, and force models to query sparingly, limiting their ability to ground answers in up-to-date, real-world evidence. As a result, models often rely on parametric memory, producing generic or outdated responses instead of leveraging the vast, growing body of public information.

Solution

Keenable provides web search infrastructure specifically designed for AI labs and inference platforms, enabling models to access web knowledge cheaply and at scale. The company has built one of the largest independent web indexes in the world, offering a Search API with sub-250ms p95 latency. Its flagship tool, SELECT, allows agents to query the web as a database using SQL-like syntax, transforming unstructured pages into structured tables and distributions—such as aggregating pricing data across competitor sites—rather than returning individual documents. This approach shifts the model's task from keyword matching to analytical querying, giving it the whole picture instead of isolated snippets. Keenable also integrates with agent memory platforms like cognee, offering live-fetch capabilities and content extraction controls that let developers specify exactly which parts of a page enter their knowledge graphs.

Target Audience

Primary customers are AI labs, inference platforms, and large-scale AI application builders that need reliable, low-cost web access for agentic workflows and retrieval-augmented generation.

Features

  • Search API with sub-250ms p95 latency (US East) and capacity for 100+ requests per second
  • SELECT tool that treats the web as a dataframe, supporting filter, group, aggregate, count, and column extraction operations
  • Index of 100B+ documents, built as an independent alternative to major search engines
  • Cloud and on-premises deployment options for dedicated capacity
  • Time Machine feature for accessing historical web snapshots
  • SQL-like query syntax that nudges models to request comprehensive datasets rather than single answers
  • Configurable live-fetch mode with page-level content extraction prompts (up to 2000 characters) for precision retrieval
  • Dynamic snippet system that scores tokens across entire documents and returns only relevant spans, cutting search-result tokens roughly in half on production workloads
  • Agent storefront at zeroclick.keenable.ai that publishes prices and payment instructions, allowing agents to purchase autonomously or with human approval
This profile is AI-generated and may contain inaccuracies.