Who is Hyperresearch for?

Analysts and teams whose research must hold up when someone checks its sources

How much does Hyperresearch cost?

Hyperresearch has a free plan; paid plans start at $9 per use, per its pricing page on 2026-10-12.

Is Hyperresearch free?

Yes, Hyperresearch has a free plan, per its pricing page on 2026-10-12.

Do people use Hyperresearch?

Emerging: 2.7k installs/mo (pypi).

Is Hyperresearch still maintained?

Actively maintained: release 3 weeks ago · site updated 8 days ago.

Does Hyperresearch train AI on your data?

No, per its trust center (2026-10-12): “We do not use your content to train models.”

Is Hyperresearch safe?

We do not audit vendors. What Hyperresearch publishes, read 2026-10-12: SOC 2, GDPR stated on its trust center; on training with your data, “We do not use your content to train models.”.

How do I cancel Hyperresearch?

In its own words (terms of service, 2026-10-12): “We do not delete anything straight away: closure is scheduled for 14 days out, you can cancel it from the same screen at any point in those 14 days, and the account keeps working normally until then — so export whatever you want to keep before the 14 days are up.”

What are alternatives to Hyperresearch?

In Knowledge, by use: Conol, AI to AI Hub, Triall, Chekkai, Auramiq, DocuTruth.

Hyperresearch

Runs multi-stage web research that plans a question, saves each source it reads to a vault, and writes a report with claim-checked citations.

KnowledgeAPIOpen sourceUsage-based pricing+2

hyperresearch.ai ↗Wikidata

At a glanceswept 2026-10-12

2.7k installs/mo

Emerging

For: Analysts and teams whose research must hold up when someone checks its sources
Price: Free plan · From $9 per usepricing page, read 2026-10-12 ↗
Activity: Actively maintainedrelease 3 weeks ago · site updated 8 days ago
Company: since 2026per Wikidata
Runs as: API

Alternatives Set it up for my team Is Hyperresearch yours? Claim the card →

What people do with itread off hyperresearch.ai on 2026-10-12

get a cited report answering one research question
build follow-up research on a saved source vault
check cited figures against their original sources

The companyeach fact with its source · read 2026-10-12

Founded2026per Wikidata
HeadquartersKalispell, USper their site

Your datawhat they publish, each line with its page · read 2026-10-12

Trains on your dataNotrust center ↗
Certifications they stateSOC 2 · GDPRtrust center ↗
Trust centertheir owntrust center ↗
Privacy policy updated2026-09-17privacy policy ↗

“We do not use your content to train models.”
trust center ↗

These are Hyperresearch's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.

How a program reaches itfound, not claimed · read 2026-10-12

MCP serverai.hyperresearch/hyperresearchverified in the MCP registry
Stateanswers, requires sign-inchecked 2026-10-12
Address to connectmcp.hyperresearch.ai/mcp
OpenAPI spec126 pathsthe spec ↗

MCP server details →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

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Figure and bar: visits/mo, estimate · year: online since

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#3
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Runs questions through three AI models that independently answer, critique each other blind, and verify claims against web sources.
3
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#4
Chekkai
Verifies factual claims and citations in student papers, checking sources against the live web.
2
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#5
Auramiq
Searches multiple independent engines, reads full pages, and cites sources for research queries and business contact verification.
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#6
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Verifies citations in documents against authoritative sources and flags fabricated or hallucinated references.
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All Knowledge tools →

Questions this page answers

What is Hyperresearch?
Runs multi-stage web research that plans a question, saves each source it reads to a vault, and writes a report with claim-checked citations. It is listed in the Atlas under Knowledge.
Who is Hyperresearch for?
Analysts and teams whose research must hold up when someone checks its sources
How much does Hyperresearch cost?
Hyperresearch has a free plan; paid plans start at $9 per use, per its pricing page on 2026-10-12.
Is Hyperresearch free?
Yes, Hyperresearch has a free plan, per its pricing page on 2026-10-12.
Do people use Hyperresearch?
Emerging: 2.7k installs/mo (pypi).
Is Hyperresearch still maintained?
Actively maintained: release 3 weeks ago · site updated 8 days ago.
Does Hyperresearch train AI on your data?
No, per its trust center (2026-10-12): “We do not use your content to train models.”
Is Hyperresearch safe?
We do not audit vendors. What Hyperresearch publishes, read 2026-10-12: SOC 2, GDPR stated on its trust center; on training with your data, “We do not use your content to train models.”.
How do I cancel Hyperresearch?
In its own words (terms of service, 2026-10-12): “We do not delete anything straight away: closure is scheduled for 14 days out, you can cancel it from the same screen at any point in those 14 days, and the account keeps working normally until then — so export whatever you want to keep before the 14 days are up.”
What are alternatives to Hyperresearch?
In Knowledge, by use: Conol, AI to AI Hub, Triall, Chekkai, Auramiq, DocuTruth.

Not quite it? Describe the job

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How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.