What is Hyperresearch?

Hyperresearch is an AI assistants tool: Deep research reports with every citation checked against source.

How much does Hyperresearch cost?

Hyperresearch is Open source; there is no mandatory paid plan.

What are the best alternatives to Hyperresearch?

Community-listed alternatives to Hyperresearch include Cursor, Exa, MiniMax, RunInfra.

What does Hyperresearch integrate with?

Hyperresearch integrates with Claude, Claude Code, ChatGPT, Cursor, VS Code, OpenAI Codex and more.

Which platforms does Hyperresearch support?

Hyperresearch is available on web.

Hyperresearch

Deep research reports with every citation checked against source

Open sourceAI assistants Developer tools

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Hyperresearch is an AI assistants tool for Developers and Enterprise, offered as open source. Popular alternatives include Cursor, Exa, MiniMax.

About Hyperresearch

Hyperresearch is an agentic deep research service built by Jordan Gibbs that grew out of his MIT-licensed open-source CLI of the same name. You ask a question and get a long, cited report in which each citation is checked against the passage it relies on, and every source is kept in a searchable vault you can query again or export.

Runs read full web pages and call 40+ data APIs directly, including Census, BLS, SEC EDGAR, OpenAlex and PubMed. Each report ships with a verification receipt: per-citation verdicts, quote checks and retraction sweeps. A REST API with webhooks, a citation verification API and a remote MCP server for Claude, Cursor and ChatGPT sit around it. There is no subscription: Light runs cost $9, Deep runs cost $49, and Answers calls are billed per request.

It fits analysts, researchers and developers who need sourced findings rather than quick chat answers. Perplexity is far faster and cheaper for everyday lookups, Exa is a search API that Hyperresearch itself uses, and Genspark covers broader agent tasks. A Deep run takes 3 to 5 hours, reports are written only in English, Chinese, Japanese or Korean, and the benchmark wins it cites are vendor-run.

On November 2, 2026 Hyperresearch launched on Product Hunt and finished #10 of the day. The launch added Answers, an MCP server and API that returns a short answer with exact quotes or says it found nothing. Buying tip: start with the $5 free Answers credit, then add a card so your first $49 Deep run is free.

Key features of Hyperresearch

Deep research runs across roughly 150-200 sources with cited reports
Per-citation verdicts, quote checks and retraction sweeps
Searchable source vault with semantic search and tar.gz export
Direct calls to 40+ data APIs such as SEC EDGAR, BLS and PubMed
Answers MCP with ask and search tools for AI agents
REST API with scoped keys, async runs and webhooks
Citation verification API for documents you did not write
MIT-licensed CLI that runs the pipeline inside Claude Code or Codex

Pros and cons

Pros

Every cited claim is checked against its source text
Pay per run with no monthly subscription
Open-source CLI for teams that want to self-run the pipeline
Answers returns not found instead of guessing
Works with Claude, Cursor and ChatGPT over remote MCP

Cons

Deep runs take 3 to 5 hours to finish
$49 per Deep run adds up for frequent research
Benchmark results are run and reported by the vendor
Reports only in English, Chinese, Japanese or Korean
Little public information about the company behind it

Hyperresearch pricing

Hyperresearch uses a open source model.

Plan	Price	Includes
Open-source CLI	$0	MIT license, runs inside your own Claude Code or Codex
Light run	$9	About 30-40 minutes, 2,500-4,000 word report
Deep run	$49	3-5 hours, 150-200 sources; first run free with a card
Answers MCP/API	From $0.05	Per call; $5 one-time free credit, no card
Enterprise	Custom	Contact sales

Source: hyperresearch.ai · checked on Nov 3, 2026

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How Hyperresearch compares in AI assistants

Rank by votes: #1 / 45
Starting price: $0
Free alternatives: 3

Hyperresearch ranks #1 of 45 ai assistants tools by community votes and is not directly comparable on price.

Common use cases

1Market and competitor research reports with checkable sources
2Due diligence that pulls SEC filings and government statistics
3Literature reviews that flag retracted papers
4Giving coding agents grounded answers with exact quotes via MCP
5Auditing citations in a draft report or article

Best for

Analysts, researchers and agent builders who need long reports or short answers where every citation can be verified.

Not ideal for

People who want instant conversational answers or a general AI agent workspace (Perplexity, Genspark).

Integrations

Claude
Claude Code
ChatGPT
Cursor
VS Code
OpenAI Codex

Our take

Hyperresearch is one of the more rigorous research tools for work where a wrong citation is costly, and pay-per-run pricing keeps occasional use cheap. Use the free credit and free Deep run to judge report quality on your own topic, and treat the benchmark claims as vendor marketing until independent tests appear.

FAQ

What is Hyperresearch?: Hyperresearch is an AI assistants tool: Deep research reports with every citation checked against source.
How much does Hyperresearch cost?: Hyperresearch is Open source; there is no mandatory paid plan.
What are the best alternatives to Hyperresearch?: Community-listed alternatives to Hyperresearch include Cursor, Exa, MiniMax, RunInfra.
What does Hyperresearch integrate with?: Hyperresearch integrates with Claude, Claude Code, ChatGPT, Cursor, VS Code, OpenAI Codex and more.
Which platforms does Hyperresearch support?: Hyperresearch is available on web.
Who is Hyperresearch for?: Analysts, researchers and agent builders who need long reports or short answers where every citation can be verified.

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