
What is Tabstack Web Research?
Tabstack Web Research is an AI research API tool that returns cited, multi-source answers from a single API call for developers building research features into their apps. Instead of summarizing the first result, its /research endpoint synthesizes information across multiple live web sources and attaches inline citations with source URLs to every claim, so the output can be verified rather than trusted blindly. Retrieval happens at request time against the live web rather than a pre-indexed cache, and progress streams back over Server-Sent Events so a running research task can be surfaced in real time. Two research modes are available: Fast (250 credits per call) and Balanced (350 credits, on Team and higher plans). Beyond research, the platform exposes an /extract/json endpoint for structured extraction and an /automate endpoint, with TypeScript, Python, and CLI SDKs for integration. Tabstack markets itself as a Mozilla-backed, privacy-first platform that purges queries and does not train models on user data, and targets legal-tech, financial services, sales intelligence, and competitive intelligence teams that need traceable sources. For teams that would otherwise build and maintain their own retrieval, ranking, and citation stack, it packages that work behind a single call with predictable credit-based pricing.
What is Tabstack Web Research used for?
Used by developers and AI-agent builders to add live-web research with cited sources through a single API call.
How much does Tabstack Web Research cost?
Pros and cons
Pros
• A single /research API call runs the full pipeline: live-web search, source selection, synthesis, and citation formatting • Queries the live web rather than a pre-indexed snapshot, so answers stay current • Every response includes verifiable source URLs end users can check • Developers write no search, ranking, or citation code • Supports SSE streaming and offers a free tier to start
Cons
• Answer quality depends on the live sources available for a given query • As a developer API it requires integration work, not a ready-made UI • Live-web synthesis can add latency versus a cached index • Per-request pricing beyond the free tier is not published
Questions about Tabstack Web Research
What does the Tabstack Web Research API do?
It exposes a /research endpoint that queries the live web, selects the most relevant sources, synthesizes a coherent answer, and formats citations — all in one call.
Are answers cited?
Yes. Every response includes verifiable source URLs, so end users can check the underlying evidence.
Does it search live or a cached index?
It queries the live web, not a pre-indexed snapshot, so results reflect current information.
Who is it built for?
It's designed for apps and AI agents in high-stakes domains like legal research, financial analysis, and competitive intelligence, where a hallucinated or outdated answer creates real liability.
Is there a free tier?
Yes, a free tier is available to get started, and the API supports SSE streaming.
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