Research built
on evidence.

Hyperresearch combines four web indexes, 2,000+ licensed sources, and 120+ open data sources into one search pipeline. Every citation is verified against its source. Get a full report from Deep, or give your agent more search firepower through the Answers MCP.

4,532 stars on GitHubOpen source, MIT

Benchmarks

#1 on deep research.
#1 on agentic web search.

Deep Research

DRACOscore
  1. 01Hyperresearch DeepHyperresearch77.7
  2. 02Claude Research (Opus)Anthropic73.0
  3. 03Parallel UltraParallel61.5
  4. 04You.com ResearchYou.com · 8 of 10 tasks60.1
  5. 05Perplexity Deep ResearchPerplexity · 8 of 10 tasks57.8

DRACO benchmark (Perplexity × Harvard) · 10 tasks, same judge · October 2026How we tested →

Agentic web search

BrowseComp% correct
  1. 01Hyperresearch89%
  2. 02Parallel (Pro)73%
  3. 03OpenAI web search58%
DeepSearchQA% correct
  1. 01Hyperresearch85%
  2. 02Parallel (Pro)81%
  3. 03OpenAI web search70%

BrowseComp and DeepSearchQA, October 2026How we tested →

4 web search providers + 120+ data sources

The fewest gaps
in AI search.

We combine four web search providers, so no single engine's blind spots become yours. Where the web runs out, 120+ structured sources take over: filings, trials, patents, papers and official statistics. If nothing has the answer, we say so.

  • Web searchFour providers, combined.
  • Structured sources120+, each one deep in its own area.

New · Answers MCP

Better data
for your agent.

Use fewer tokens and get a double-checked answer, with every source validated.

See Answers MCP answers.hyperresearch.ai/mcp

ask from 5¢ · search from 5¢ · $5 free credit, no card needed

search
The open web plus 120+ data sources: SEC filings, Census, BLS, PubMed and more.
check
Every quote matched word for word against its source, or a plain "not found".
cite
Every answer comes back with the source URLs it rests on.

Deep · Built to out-research everyone

From question
to checked report.

This is a Deep run. It plans the question, researches it chapter by chapter, writes the report in one pass, and checks every cited claim before it ships. A Light run takes the short path: one sweep, one draft, a final edit and the same claim check. When a paper is behind a paywall, it looks for a legal open-access copy and reads the full text.

Plan the chapters and gather sources.

Break down the question, split it into research chapters, and gather a broad foundation of sources for each.

  1. Decompose

    Your question broken into the things it actually asks · required headings · coverage matrix

  2. Chapter partition

    3–5 research chapters, researched two at a time

  3. Width sweep

    Your vault first, then planned searches · broad, deep and opposing · fetched in parallel

The widest net in research

Documents, records and pages
a run can reach.

1,307,556,185,049documents, records and pages

What comes with Deep

More than a report.
A vault, an API and citation checks.

/01

Ask a question. Get a report with a receipt.

Light is $9 and Deep is $49. Deep reads about 150 to 200 sources in 3 to 5 hours, and every report comes with a receipt of the citations it checked.

receipt · cite-checkexample
  1. Global installed battery storage capacity reached 42 GW in 2024. [7]

    supportedPassed

    source says“installed capacity stood at 42 GW at the end of 2024”

  2. Battery storage capacity grew 60% year over year in 2024. [7]

    unsupportedFlagged

    checker foundSource 7 gives the 42 GW figure only. It has no prior year and no growth rate.

Light · Deep · 20 to 200 sources depending on the size you ask forSizes and pricing
/02

It keeps what it reads.

Every source a run fetched, every interim note, every claim stays in your workspace. Search it by words or by meaning. Sources carry a quality score and are clustered so five copies of one press release count as one voice. The next run searches the vault before it touches the web, so your second question is better informed than your first. Connect your own agent when you want to ask questions across the vault; answers stay in that agent and link back to evidence.

vault · notesaved source

text-wrap CSS property - CSS | MDN

source
developer.mozilla.org
fetched
2026-09-12
type
docs
Full text and semantic search · quality scores · lifecycle · portable tar.gz exportHow the vault works
/03

Bring the assistant you already use.

Your vault and your runs are exposed as a remote MCP server. Claude, Cursor, ChatGPT, or an agent you wrote can search notes, read sources, start runs, and check citations from inside the tool you are already working in. Your client opens a browser authorization screen where you choose the workspace and permissions. For your own pipelines, the same runs, vault and reports are on a REST API with scoped keys, and everything also works from the console in your browser. A run is long and asynchronous: start it, get its id back at once, and take the finished report when a webhook says it is ready. The OpenAPI document and the webhook guide are in the docs.

mcp · tool callvault:read
› search_notes {"query":"text-wrap balance","mode":"hybrid","limit":2}
{"hits":[
  {"note_id":"text-wrap-css-property-css-mdn","title":"text-wrap CSS property - CSS | MDN"},
  {"note_id":"css-text-wrap-balance-css-and-ui-chrome-for-developers","title":"CSS text-wrap: balance | CSS and UI | Chrome for Developers"}
]}
Console · remote MCP · browser OAuth · REST API with scoped keys · webhooksAPI and MCP docs MCP setup
/04

Check the citations in any document.

Send a document and the sources it cites. Each citation comes back supported, partially supported, unsupported or wrong source. It also confirms every quote is really in its source, flags retracted papers, and spots sources that are really the same story. Run it before you publish.

Per-citation verdicts · quote integrity · retraction sweep · independence auditThe verification API

What are you researching?

Type it here. It carries through sign-up into your first run.