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.
Every claim comes back with a source URL. Users can verify where the answer came from. That's the difference between an AI feature people trust and one they don't.
2. Live web, not an index.
Pre-indexed research APIs (Exa, Perplexity) are fast and good for broad questions. /research goes to the live web on every call. For legal, financial, and competitive intelligence work — where the answer needs to be current and sourced — that's the relevant difference.
3. SSE streaming built in.
Users watch it work in real time. No spinning wheel. Progress events as sources are found, then a complete event with the full report and all citations.
About Tabstack Web Research on Product Hunt
“Run a research agent with cited answers in a single API call”
Tabstack Web Research launched on Product Hunt on June 1st, 2026 and earned 150 upvotes and 23 comments, placing #8 on the daily leaderboard. /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.
On the analytics side, Tabstack Web Research competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Tabstack Web Research performed against the three products that launched closest to it on the same day.
Who hunted Tabstack Web Research?
Tabstack Web Research was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
fmerian
We launched /research today, a single API call that runs a full web research agent and returns cited answers.
Here's the pattern it replaces:
// What most teams build:
// 1. Search the web (or an index)
// 2. Fetch and read relevant pages
// 3. Synthesize across sources
// 4. Validate citations
// 5. Format for streaming
// 6. Debug all of the above forever
// What /research does:
That's it. The orchestration lives inside the call. Your codebase doesn't own it.
First 10,000 credits are free. Happy to answer questions in the comments. Give it a try → https://tabstack.ai/web-research
Three things that matter about how we built this:
1. Citations are not optional.
Every claim comes back with a source URL. Users can verify where the answer came from. That's the difference between an AI feature people trust and one they don't.
2. Live web, not an index.
Pre-indexed research APIs (Exa, Perplexity) are fast and good for broad questions. /research goes to the live web on every call. For legal, financial, and competitive intelligence work — where the answer needs to be current and sourced — that's the relevant difference.
3. SSE streaming built in.
Users watch it work in real time. No spinning wheel. Progress events as sources are found, then a complete event with the full report and all citations.