Keenable - 2026 Pricing, Features, Reviews & Alternatives

Keenable is an independent web search and content access API infrastructure built for AI agents and large language models. Backed by a proprietary index of 100B+ documents, it delivers low-latency search and page content retrieval through a REST API, CLI, and MCP server integration compatible with Claude Code, Cursor, Windsurf, and other MCP clients. Deployment options span cloud (all tiers) and on-premises (Frontier tier, targeting AI labs and inference platforms). Pricing follows a usage-based, pay-as-you-go model with a free 100K request allowance to start, scaling to dedicated capacity at 100 RPS or higher for enterprise-grade workloads.

Keenable targets AI agent builders, AI researchers, and inference platform operators who require high-frequency, low-cost access to live web knowledge at machine scale. Its index, crawler, ranking, and retrieval systems are rebuilt specifically for AI-scale usage patterns rather than human-facing search, introducing retrieval primitives designed for interoperability with AI systems and LLMs. The MCP server integration delivers search tooling directly to models, supporting agent architectures including real-time voice agents. By maintaining an independent index, Keenable removes reliance on third-party search providers, giving infrastructure teams full control over retrieval capacity and rate limits.

For AI labs and large inference platforms, the Frontier tier provides dedicated on-premises deployment with volume pricing and high-throughput capacity. For individual agent builders and researchers, the cloud tier offers immediate access via pay-as-you-go billing with no upfront commitment. Sub-250ms p95 latency (US East) across both search and content fetch APIs supports latency-sensitive agent pipelines where retrieval speed directly affects model response quality and throughput.