Grok Bots Directory
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Best Grok Bots for Research

Research is the job Grok Bots are most often asked to do and the one where you most need to check the answer. This page compares twelve research templates in the directory by what they are good at, what they cost you in setup, and where they should not be trusted on their own.

How we picked

We read each template's instructions, skills and routines as stored in the directory on 2026-10-31. We kept bots with a distinct research method, such as live fact-checking, primary records, claim verdicts, monitoring or cross-model comparison, and dropped ones that only repeated a method already covered. We did not run any of these bots. A good-looking method on a template page does not prove the output is accurate, so verify what comes back.

Pick by situation

Want the how-to rather than the list? Read Run deep research with a Grok Bot for choosing a pattern, citing sources, checking claims and scheduling recurring research.

Watch-outs before you add one

  • Paid services: Swarm and Deep Researcher use third-party search or research plugins. Check each provider's pricing and set a spending limit first.
  • Third-party code and data: last30days installs a skill from GitHub and the social sweep bot uses a data API. Review what they install and what keys they ask for.
  • Professional use: the clinical and patent templates are aids. Neither replaces a clinician or an attorney.

Side by side

Bot Best at Plugins Scheduling
Researchy Quick live fact-check None listed One-off
Deep Dive General deep research with self-check None listed Monthly learning report
Ethan Cited brief and claim verdicts None listed None
Deep Research by Jonah Primary records None listed None
Deep Researcher Reports, enrichment, competitor alerts Parallel Monitors you set up
Swarm Budgeted multi-angle report Exa, Tavily, Firecrawl, Parallel, Hugging Face, X One-off
Research Social sweeps and source packs X Daily sweep, newsletter trigger
last30days Last-30-days pulse None listed (installs a GitHub skill) One-off
Researcher AI Desk Academic workflow desk None listed None
Multi-model consensus Cross-model second opinion None listed One-off
Curbside Consult Clinical evidence and dosing maths None listed None
Prior Art Desk Patent overlap map Tavily Five weekly or monthly routines

"None listed" means the template page lists no plugin and relies on the bot's built-in web access.

More on the directory

Browse the research and research digest label hubs for every template tagged that way.

12 picksUpdated Picked by an editor

This is a curated shortlist, not a how-to. For routines, see playbooks.

The picks

  1. 01
    Researchy

    A research and fact-check desk that runs every pass on the latest Grok model with live web search. For anyone who needs sourced, dated claims instead of a trai…

    • Memories5
    • Skills1
    • Routines0

    Why it is on the list

    Smallest template here: one skill that launches the latest Grok model through the Grok CLI for a live, web-backed research or fact-check pass and returns dated, sourced claims once the process finishes. Suits a quick "is this true, and what is the current answer" check. Caveats: one skill and no routines, so there is no scheduling, no memory of your standards and no built-in verification step beyond what you ask for. Needs a computer where the Grok CLI can run, which we did not test.

  2. 02
    Deep Dive

    A deep-research assistant that investigates any question across studies, primary documents, news, and social media, reads sources in full, explains contradicti…

    • Memories10
    • Skills22
    • Routines1

    Why it is on the list

    The broadest general-purpose researcher in the set. It interviews you once about your standards, searches across studies, primary documents, news and social posts, explains contradictions, states its confidence, and runs a self-check before delivering. Extra skills cover quick fact-checks, reading a study, redoing the maths on statistics, and checking whether a photo, video or quote is genuine. A monthly routine tests whether it is improving. Suits anyone who wants one bot for most questions. Caveats: Over 20 skills is a lot to learn, and answers take longer because of the self-check.

  3. 03
    Ethan

    Evidence-first specialist for deep research, claim verification, competitor intelligence, trend monitoring, and research quality audits. Turns a topic, company…

    • Memories0
    • Skills5
    • Routines0

    Why it is on the list

    Built for decision-ready briefs. It keeps a claim ledger with dates and source grades, can give each claim a PASS, FIX or BLOCK verdict, compares competitors like for like, tracks a topic as a dated change log, and audits an existing research pack. It states that it will not publish, contact anyone, spend, authenticate or treat social posts as proof. Suits teams that need a paper trail and an independent claim check. Caveats: no routines, so recurring monitoring means adding one yourself, and it reports a gap rather than guessing, which can feel terse.

  4. 04
    Deep Research by Jonah

    Deep Research by Jonah

    by Jonah

    A research bot that digs through primary sources like court records, laws, filings, spending, lobbying, papers, books and archives, checks them against each ot…

    • Memories0
    • Skills5
    • Routines0

    Why it is on the list

    Aims at primary records rather than summaries: court filings, laws, spending and lobbying data, papers, books and archives, checked against each other with a citation per claim and a plain note on anything unconfirmed. Includes a source catalogue and a setup that offers ways to unlock more sources. Suits investigative and policy work where a news article is not enough. Caveats: some extra sources may need free access codes or paid services, so read the catalogue before you start, and it has no scheduled routine.

  5. 05

    Why it is on the list

    Built around the Parallel plugin. It picks a Parallel research depth by question, writes cited reports, fills spreadsheet columns from a list of companies or people, finds every entity that matches a description, and sets up monitors that alert when a competitor ships or changes pricing. Suits market and competitor research that needs structured output. Caveats: it needs a connected Parallel account, and we did not check whether Parallel charges for its API, so look at their terms first. The monitor and enrichment features run on schedules or batches that use credits.

  6. 06

    Why it is on the list

    Uses paid tools: set the budget. Swarm splits one topic into many angles, audits every source and delivers one conclusion-first, cited report with a spend line. Its plugin list covers Exa, Tavily, Firecrawl, Parallel, Hugging Face and X, and its setup asks for your budget and tools. Suits a single high-stakes question where you want breadth. Caveats: it is slow by design, paid plugins may bill you, and you should set a firm limit before the first run.

  7. 07

    Why it is on the list

    Read-only analyst for people who publish. A daily sweep of recent X and Reddit posts on your topics returns ranked, cited picks, a newsletter-issue scan pulls story candidates, and other skills build a sources file that separates confirmed facts from rumour and review a finished video before it goes out. Uses the X plugin and a Scrape Creators API. Suits creators and newsletter writers. Caveats: it relies on a third-party data service, social posts are leads rather than proof, and the daily sweep uses usage every morning.

  8. 08
    last30days

    Research what people actually say about any topic in the last 30 days. Installs the latest last30days skill from GitHub, walks first-run setup (ScrapeCreators…

    • Memories8
    • Skills1
    • Routines0

    Why it is on the list

    Installs third-party code: read before you run. Researches what people have said about a topic over the last 30 days across Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub and the web. On first use it installs a skill from GitHub, walks through source setup (including a data service with free credits) and checks for a new version every 30 days. Suits trend and sentiment pulses. Caveats: the result is what people said, not what is true, and installing code from outside the directory means you should review it first.

  9. 09
    Multi-model consensus

    Multi-model consensus

    by

    Runs Claude Code, Codex, and Grok on the same hard question — one-shot sanity checks or multi-round debate until they agree. Built for forecasts, critiques, PR…

    • Memories2
    • Skills1
    • Routines0

    Why it is on the list

    Asks Claude Code, Codex and Grok the same question and either takes one pass as a sanity check or runs rounds of debate until they agree. Suits forecasts, critiques, product requirement drafts and strategy decisions where you want a second and third opinion. Caveats: it relies on the other tools being available on the bot's computer, which we did not test, agreement between models is not proof, and it uses usage from more than one product.

  10. 10

    Why it is on the list

    A research-assistant ops desk for academics: literature triage that is told never to invent citations, paper and chapter outlines, a plain-language critique, a citation checklist, a to-do list, a decision ledger and an approval queue. Optional calendar and mail reading is draft-first and sending needs an exact yes. Suits a researcher who wants workflow rather than a deep-research engine. Caveats: more of a task manager than a source-finder, it mentions routing work to other model tools only when you name them, and the mail option touches your inbox, so leave it off unless you need it.

  11. 11
    Curbside Consult

    Curbside Consult

    by Cyber_Holler

    A curbside consult for clinicians. Answers clinical questions with live, cited evidence (PubMed, guidelines, FDA labels), does tested dosing math, and reviews…

    • Memories0
    • Skills9
    • Routines0

    Why it is on the list

    Clinical use: not a substitute for judgement and never for patient identifiers. Looks up evidence from PubMed, guidelines, FDA labels and trial registries, does dosing arithmetic with a built-in self-test, checks reference lists against Crossref and PubMed, and screens clinical documents for error-prone wording. Suits clinicians and pharmacists. Caveats: the template forbids patient identifiers, you remain responsible for every dose, and a locally loaded protocol overrides general references.

  12. 12

    Why it is on the list

    Compares a named invention write-up that you paste in against US patents and dated non-patent or product disclosures, keeping the two evidence lanes separate. Weekly routines report only what changed. Suits an inventor preparing a packet for a patent attorney. Caveats: the template insists the result is an overlap map, never a clearance or freedom-to-operate opinion; it refuses to run without a write-up, and Tavily search needs to be connected. It writes its answers with a light theatrical voice.

Side by side

BotLabelsIntegrationsRoutinesAuthorUpdated
ResearchyResearch-Digest——Farzad30 Aug 2026
Deep DiveResearch-Digest, Research—
1 routine
  • Monthly research learning report
Warren Wilson22 Oct 2026
EthanResearch-Digest, Research——JUMPERZ28 Aug 2026
Deep Research by JonahResearch-Digest——Jonah25 Oct 2026
Deep ResearcherResearch-Digest, ResearchParallel—Lukas Levert11 Oct 2026
SwarmCoding, Finance, Legal, Social-PublishingExa, Tavily, Firecrawl, Parallel, Hugging Face, X—Josh Birdwell27 Oct 2026
ResearchNews-Briefing, Transcript-Recap, Research-DigestX
2 routines
  • Daily X and Reddit sweep
  • Newsletter issue scan
Trond Eirik Haavarstein18 Oct 2026
last30daysNews-Briefing, Research-Digest——Matt28 Aug 2026
Multi-model consensusResearch, Product——Austen5 Sept 2026
Researcher AI DeskResearch, Email, Calendar, Chief-of-Staff——David Anderson26 Sept 2026
Curbside ConsultResearch, Education, Health——Cyber_Holler28 Sept 2026
Prior Art DeskLegal, Research-DigestTavily
5 routines
  • Weekly overlap refresh
  • NPL market-lead refresh
  • Critical-date evidence check
  • Patent-family continuity watch
  • Counsel-packet snapshot
Stephen Michael Schmitt15 Sept 2026