Structured search results
Search across a curated index of authoritative, licensed data and the web, then return structured knowledge cards instead of blue links.
Tako is an answer engine API that grounds AI on authoritative, licensed data and the web, then returns cited, structured outputs through search, answer, contents, and agent APIs. It is aimed at AI product builders, data and analytics teams, and research workflows that need transparent results.
Tako is an answer engine API for authoritative data. It is designed to ground AI applications and agents on a curated index of licensed sources plus the web, then return cited, structured answers.
The product centers on search, answer, contents, and agent APIs. According to the site, those APIs can produce knowledge cards such as charts, tables, and maps, as well as JSON and full-page contents for downstream use.
Search across a curated index of authoritative, licensed data and the web, then return structured knowledge cards instead of blue links.
Return direct answers to natural-language questions with citations so readers can trace the source of each response.
Expose the backing data for answers and clean, full-page web contents optimized for LLM workflows.
Run asynchronous agents for deep research and enrichment workflows where a one-shot answer is not enough.
Ship with official Python and TypeScript SDKs that manage authentication, requests, and response parsing.
Include sources, timestamps, and methodology notes in knowledge cards to make the workflow easier to inspect.
Embed a grounded answer layer in an AI product so users receive cited, structured responses built from licensed sources rather than generic web text.
Give analysts and customer-facing teams a natural-language way to explore data without SQL, dashboards, or manual bottlenecks.
Support research and strategy workflows that need accurate analysis, insight generation, and report-ready outputs with source visibility.
Connect to the product's APIs or SDKs when you need search, direct answers, contents retrieval, or asynchronous enrichment in a developer workflow.
Tako is an answer engine API for authoritative data. It grounds AI applications and agents on a curated index of authoritative, licensed data and the web, then returns cited, structured answers through its search, answer, and contents APIs.
Instead of returning only paragraphs of unstructured text, Tako produces structured outputs such as knowledge cards with charts, tables, and maps, plus JSON and cited answers. The product positions itself for use cases where source transparency matters.
The site says developers can integrate Tako through its Search, Answer, Contents, and Agent APIs, and that official Python and TypeScript SDKs handle authentication, requests, and response parsing.
Tako's outputs include clear sources, timestamps, and methodology notes when applicable. The site also says users can try example queries in a playground, sign up for an API key with free credits, and then purchase more credits or contact the company for enterprise access.
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