Storm is live · free · last verified 24 Oct 2026 · viability monitor
Storm
STORM generates Wikipedia-style research reports with inline citations from a single topic prompt.
Worth an afternoon if you need a cited first draft on an unfamiliar subject. The expert-versus-learner dialogue surfaces angles a single prompt skips, and Co-STORM lets you steer mid-research instead of accepting whatever lands. Check every citation as a lead, not proof — it's a research preview with limited safety measures, and the terms are blunt about that.
Verdict generatedVerified 20d ago · liveness 45/100 · cite: rightaichoice.com/tools/storm
- Researchers mapping an unfamiliar subfield before going deep
- Students assembling a referenced overview for a paper or seminar
- Writers and content teams needing a research scaffold plus reading list
- Knowledge workers who want long-form synthesis rather than a chatbot reply
- Anyone who needs real-time or breaking-news coverage
- Work requiring narrow domain expertise or primary experimental data
- Readers who need verified, publication-ready claims rather than a draft
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Skip Storm if you need a verified, publication-ready citation set or real-time coverage of a fast-moving story — its reports are cited drafts to check, not proof, and they reflect sources at generation time.
Storm runs a simulated expert–learner dialogue across multiple agents per report, so slow or rate-limited generations are a time cost rather than a bill.
Storm's pricing fits teams whose volume aligns with the published tiers. Compare against the alternatives listed below for stage-specific value.
In short
Storm — STORM generates Wikipedia-style research reports with inline citations from a single topic prompt. Best for Researchers mapping an unfamiliar subfield before going deep, Students assembling a referenced overview for a paper or seminar, Writers and content teams needing a research scaffold plus reading list. Free to use.
What is Storm?
Storm — STORM generates Wikipedia-style research reports with inline citations from a single topic prompt. Best for Researchers mapping an unfamiliar subfield before going deep, Students assembling a referenced overview for a paper or seminar, Writers and content teams needing a research scaffold plus reading list. Free to use.
STORM is a free research prototype from Stanford's OVAL lab that turns a topic into a long-form, Wikipedia-shaped article with inline citations drawn from real web sources. You enter the subject, optionally supply an outline or upload documents to ground it, and the system runs a simulated dialogue between an AI playing domain expert and another playing curious learner, exploring the field from several angles before writing anything down. The tool ships in two modes: original STORM produces a one-shot report, while Co-STORM supports interactive knowledge curation, letting you steer the research while it runs. Reports export as Markdown or PDF, everything happens in the browser, and sign-in is available. The Stanford OVAL homepage is maintained by Dekun Ma and the lab, with Microsoft Azure cloud credits acknowledged for compute. It's built for researchers, students, and writers who need a cited first draft on a field they don't yet know well. Treat it as a scaffold generator rather than an answer engine: Perplexity fields a question in seconds, Elicit pulls structured data from papers, and STORM occupies the space between them, doing the long-form, multi-perspective synthesis you'd otherwise assemble by hand.
Key features
- Wikipedia-style research reports with inline citations
- Simulated expert-versus-learner multi-perspective dialogue
- Original STORM one-shot report generation
- Co-STORM interactive knowledge curation while research runs
- Enter any custom topic
- Optional user-supplied outline to shape the report
- Upload source documents to ground the research
- Grounds output in real web sources
- Inline citations with source previews
- Export reports as Markdown
- Export reports as PDF
- Runs in a web browser
- Sign-in available
- Maintained by Dekun Ma and the Stanford OVAL lab
- Backed by Microsoft Azure cloud credits
Behind the verdict
The honest way to use STORM is as a reading-list generator that happens to write paragraphs. Ask it about a subfield you barely know, then open the citations before you trust the prose. What comes back is a survey scaffold: sections, claims, and the sources they lean on, which beats a blank page when you're briefing yourself on something new. Where it earns its keep is breadth. The simulated expert-learner back-and-forth pushes into questions a single prompt wouldn't ask, so the outline covers territory you might have missed. Co-STORM adds value here — you can intervene while the research runs rather than regenerate from scratch after a bad first pass. Where it bites: the terms of service say inputs are collected for research and may be redistributed under a CC-BY-style license. Do not feed it confidential material or personal data. It also warns of limited safety measures and possible offensive output, so supervise what it produces before it goes anywhere public. Pick STORM over Perplexity when you want a structured long-form draft, not a quick answer. Pick it over Elicit when you need narrative synthesis across a topic rather than row-level data pulled from papers. If you need verified, publication-ready claims, neither tool gets you there — that's still your job. One caveat on freshness: it's a prototype tied to Stanford OVAL's research agenda, so features and availability can shift. Expect the report quality to swing with how much good web coverage a topic already has — obscure subjects produce thinner citations. In practice, we'd reach for it early in a project, then hand the output to a writer or researcher who knows the domain well enough to catch the errors.
Models under the hood
as of 2026-09-01
Limitations
- Storm is, in its own terms of service, a research preview from the Stanford OVAL lab with limited safety measures that may generate offensive content.
- Generated reports can make mistakes, and you should always check important information yourself.
- Output quality tracks the breadth of available web sources, so broad documented fields work better than narrow or fast-moving ones, and reports reflect content at generation time rather than current events.
- Inputs — topic, stated purpose, follow-up interactions, and feedback — may be collected, used for research, and distributed under a Creative Commons Attribution license, so do not include personally identifiable information.
as of 2026-10-14
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Is Storm still active?
Storm is live · free · last verified 24 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Storm? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What do users say about Storm?
How we verified this
Every listed fact about Storm — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 24 Oct 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Storm 12 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed our verdict, who it suits, summary, features, pricing tiers, description
- — changed who should skip it, pricing tiers, our verdict, who it suits, summary, description
- — changed switching in, our verdict, who should skip it, features, hidden costs, summary, pricing fit, setup time, description, switching out
- — changed description, who it suits, summary, our verdict, pricing tiers, features
- — changed SSL certificate
- — changed setup time, who it suits, description, our verdict, features, hidden costs, limitations, switching in, switching out, who should skip it, pricing tiers, pricing fit, summary, use cases
Showing the 6 most recent of 12 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Storm cost in 2026?
Storm: Free to use. Pricing last verified 24 Oct 2026.
Plans compared
Every published Storm tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free | Free | — | Researchers, students, and writers who need a cited first draft on an unfamiliar topic and accept prototype-grade output.Adds: Free entry point: topic-to-report generation with inline citations, both original STORM and Co-STORM modes, outline and source-document upload, and Markdown or PDF export. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Storm's pricing actually pencils out — and where peers do it cheaper.
Storm's pricing fits teams whose volume aligns with the published tiers. Compare against the alternatives listed below for stage-specific value.
Has Storm's pricing changed?
No plan price for Storm has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Storm?
Pick Storm if you are Researchers mapping an unfamiliar subfield before going deep, Students assembling a referenced overview for a paper or seminar, Writers and content teams needing a research scaffold plus reading list, Knowledge workers who want long-form synthesis rather than a chatbot reply.
Look elsewhere if you are Anyone who needs real-time or breaking-news coverage, Work requiring narrow domain expertise or primary experimental data, Readers who need verified, publication-ready claims rather than a draft, Projects with confidential or personally identifying inputs, given research-data collection.
Skip it if Skip Storm if you need a verified, publication-ready citation set or real-time coverage of a fast-moving story — its reports are cited drafts to check, not proof, and they reflect sources at generation time.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Storm actually fits — and what changes day-one when you adopt it.
Enter the subfield as a topic, upload two or three key papers as source documents, and let Storm generate a cited overview with a reading list before switching to Co-STORM to steer the angles that matter.
Outcome: A structured, referenced map of the subfield and a stack of leads to read, instead of a blank page and scattered search results.
Supply the topic plus an outline to shape the report, generate a Wikipedia-style draft with inline citations, then export as Markdown into the drafting tool and verify each source preview.
Outcome: A referenced article scaffold with a source list, cutting the background-reading phase before writing begins.
Run Co-STORM on the industry, review the dialogue as it develops, and redirect the research when it drifts toward thin sources.
Outcome: A multi-perspective background brief with citations, produced in a session rather than a week of reading.
Use cases
- Generate a cited literature-review draft for a thesis topic
- Compile a structured background brief on an unfamiliar industry
- Produce a referenced article scaffold for a technical blog post
- Explore a complex subject through synthesized multi-perspective dialogue
- Use Co-STORM to steer knowledge curation interactively as research develops
Setup time & first value
How long it actually takes to get something useful out of Storm — broken out by persona, not the marketing-page minute.
For a first report, expect minutes rather than a setup project: open the browser tool, accept the terms, type a topic, and generate. Adding an outline or uploading source documents takes a little longer and improves grounding. Co-STORM's interactive curation is a session-length activity, not a one-click run, so budget accordingly when you plan to steer the research.
Switching to or from Storm
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual literature search: enter the subfield as a topic and let Storm assemble the cited scaffold and reading list you would otherwise build link by link.
- →From a general chat assistant: move from a single cited answer to a multi-perspective, Wikipedia-shaped report with inline citations and source previews.
- →From a paper-extraction tool: keep Elicit for structured data pulled from papers, and use Storm when you need narrative synthesis across them.
- ↗To Perplexity: when you need a fast cited answer to a specific question rather than a long-form scaffold.
- ↗To Elicit: when you need structured extraction from a defined set of papers instead of narrative synthesis.
- ↗To manual verification workflow: export as Markdown or PDF and check each inline citation against its source before publication.
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Storm”, and we withheld 6: 6 could not be judged, because “Storm” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Storm.
Official links
What are the best Storm alternatives?
The closest alternatives to Storm we list are Elicit, Otio AI and ResearchCollab.ai. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Elicit | Freemium | Pricing not published | — |
| Otio AI | Freemium | Pricing not published | — |
| ResearchCollab.ai | Freemium | Pricing not published | — |
Alternatives to Storm
View allElicit
AI research assistant that searches 138M+ papers and 545K clinical trials and builds cited reports, tables and systematic reviews
Otio AI
Otio is a persistent AI research workspace that keeps hundreds of PDFs, videos and podcasts searchable with page-level citations.
ResearchCollab.ai
ResearchCollab.ai turns a research question into a fully cited literature review draft — Topic Map to PRISMA in one workspace.
Tools that pair well with Storm
Common stack mates teams adopt alongside Storm, with the specific reason each pairing earns its keep.
Elicit
AI research assistant that searches 138M+ papers and 545K clinical trials and builds cited reports, tables and systematic reviews
Otio AI
Otio is a persistent AI research workspace that keeps hundreds of PDFs, videos and podcasts searchable with page-level citations.
ResearchCollab.ai
ResearchCollab.ai turns a research question into a fully cited literature review draft — Topic Map to PRISMA in one workspace.
Storm vs its closest rival
Storm's closest head-to-head is with Surge Ai.
Our Storm vs Surge Ai verdict written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
Frequently asked questions
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For makers of Storm
- Get a Verified Listing for Storm ($39): a written decision within 1 working day.
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