According to @omarsar0, Keenable built its own search stack and uses agent queries to improve it.
AI agents aren’t just searching: @omarsar0 says their queries help improve Keenable’s in-house search stack. The post reports that Keenable ranks first on the Artificial Analysis Search Index and argues that this feedback matters as agents rely more on search.
—
2 Sources, first seen ago
Counts from X are delayed. They’ll show here once X sends them.
Counts from X are delayed. They’ll show here once X sends them.
@omarsar0Keenable is now the #1 web search API for AI agents, ranking first on the Artificial Analysis Search Index. Nice progress from @KeenableAI since August. They built their own search stack, use agent queries to improve it, and move faster than anyone. I think that feedback matters as agents rely more on search.
@svpinoThis is the new #1 Search API in the Artificial Analysis Search Index. Use this if you want your agents to search the web and get the best possible results. You connect to this using MCP. Very efficient with tokens—they report roughly 50% fewer search-result tokens than anyone else.@omarsar0Keenable is now the #1 web search API for AI agents, ranking first on the Artificial Analysis Search Index. Nice progress from @KeenableAI since August. They built their own search stack, use agent queries to improve it, and move faster than anyone. I think that feedback matters as agents rely more on search.@svpinoThis is the new #1 Search API in the Artificial Analysis Search Index. Use this if you want your agents to search the web and get the best possible results. You connect to this using MCP. Very efficient with tokens—they report roughly 50% fewer search-result tokens than anyone else.@omarsar0Keenable is now the #1 web search API for AI agents, ranking first on the Artificial Analysis Search Index. Nice progress from @KeenableAI since August. They built their own search stack, use agent queries to improve it, and move faster than anyone. I think that feedback matters as agents rely more on search.@svpinoThis is the new #1 Search API in the Artificial Analysis Search Index. Use this if you want your agents to search the web and get the best possible results. You connect to this using MCP. Very efficient with tokens—they report roughly 50% fewer search-result tokens than anyone else.@omarsar0Keenable is now the #1 web search API for AI agents, ranking first on the Artificial Analysis Search Index. Nice progress from @KeenableAI since August. They built their own search stack, use agent queries to improve it, and move faster than anyone. I think that feedback matters as agents rely more on search.@svpinoThis is the new #1 Search API in the Artificial Analysis Search Index. Use this if you want your agents to search the web and get the best possible results. You connect to this using MCP. Very efficient with tokens—they report roughly 50% fewer search-result tokens than anyone else.#13
#13
Comments