TinyResearch turns a hard question into a report you can make a decision on, with scannable summaries, comparison tables and citations. TinySet turns a natural language prompt into a complete dataset built from information scattered across web pages. Both are available now through the TinyFish Playground, ChatGPT plugin, Claude connector, API, MCP, CLI and SDKs.
TinyResearch turns a question into a cited report: it searches and reads web pages, extracts source-backed claims, and organizes findings into summaries and comparison tables. TinySet turns a prompt into a structured dataset by planning editable columns, finding matching entities across public web pages, and collecting values with sources. The products are available through TinyFish’s Playground and integrations including API, MCP, CLI, and SDKs. TinySet datasets can be exported or shared; its collection is a snapshot, not an automatically refreshed feed.
TinySet uses TinySearch and TinyFetch for web search and page retrieval during dataset discovery and collection.
