Tabstack Web Research - Run a research agent with cited answers in a single API call
/research gives your app or agent cited answers from the live web in one API call. Not a pre-indexed corpus: the actual live web. Every request comes back with source URL's users can verify. Source selection, synthesis, and citation formatting are all inside the call. You write or maintain none of that code. Built for legal, financial, and competitive intel, where a wrong answer is a liability. Free to try.
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We built research automation for B2B outbound -- deep-research every lead before outreach goes out. The hard part was never the search, it was the citation chain. At scale, when you're processing 50 prospects a day, the agent needs to know not just what it found but how confident to be in the source. How does Tabstack handle conflicting sources on the same question? Does the /research endpoint surface confidence signals per claim, or is it a clean narrative output? That distinction matters a lot for any downstream workflow acting on the data.
The single API call versus six step orchestration framing is the right read on where this category is going. The first time I tried to build a cited research agent in house I spent two weeks on synthesis and citation formatting and another week on the failure modes when sources disagreed. Moving that out of the codebase entirely is the version I would have paid for. Question on the live web side: how are you handling rate limited or paywalled sources mid call? Citations only mean something if the underlying page is reachable for the reader, and a behind login result is worse than no result. Also: does `/research` stream partial citations or does the full set arrive on the complete event?