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Rank #2 of 5 in Meeting AI & Notetakers

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Fellow Insights Inc. · commercial

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Fellow homepage screenshot
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Fellow docs screenshot
docs · captured Sep 2026 · view live ↗

Try itExperimental

See what an agent can do with Fellow before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).

$curl -si -X POST https://fellow.app/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'recorded session — replayed, not live
recorded 2026-09-05 · exit 0 · captured verbatim by our probe harness, secrets redacted

Verified integrations

Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.

By theme — the product's score on each story themeBy theme

Agent access — MCP, CLI, and API access for agentsAgent accessevidence →

MCP, CLI, and API access for agents

71.3/100

Agenticness — how well agents can access and operate the productAgenticnessevidence →

How well agents can access and operate the product

36.6/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

16.5/100

Calendar workflow — stories about calendar workflow in this arenaCalendar workflowevidence →

Stories about calendar workflow in this arena

21.0/100

Capture recording — stories about capture recording in this arenaCapture recordingevidence →

Stories about capture recording in this arena

57.1/100

Integrations crm — stories about integrations crm in this arenaIntegrations crmevidence →

Stories about integrations crm in this arena

0.0/100

Meeting memory search — stories about meeting memory search in this arenaMeeting memory searchevidence →

Stories about meeting memory search in this arena

58.8/100

Notes summaries — stories about notes summaries in this arenaNotes summariesevidence →

Stories about notes summaries in this arena

53.3/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

33.6/100

Pricing plans — plan structure and value — what each tier costs and what it unlocksPricing plansevidence →

Plan structure and value — what each tier costs and what it unlocks

0.0/100

Privacy consent — stories about privacy consent in this arenaPrivacy consentevidence →

Stories about privacy consent in this arena

10.3/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

17.8/100

Sharing collaboration — stories about sharing collaboration in this arenaSharing collaborationevidence →

Stories about sharing collaboration in this arena

20.0/100

Transcription accuracy — stories about transcription accuracy in this arenaTranscription accuracyevidence →

Stories about transcription accuracy in this arena

0.0/100

Story verdicts — every judged story with its evidenceStory verdicts

What’s free: 0 free · 0 paid · 6 enterprise · 22 not stated in evidence

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Sorted by importance (agentic first) (high → low) · 54/54 stories · click a row’s chevron for the rationale and evidence

Connect an agent via an official MCP server G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full9/10T

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full8/10T

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3partial4/10C

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3noneuntestednone yet

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial7/10T

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10C

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partialenterprise5/10C

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial5/10C

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial3/10T

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1noneuntestednone yet

An official MCP server lets Claude or any MCP client query my meetings — search, transcripts, action items — with OAuth, no glue code C

Agent ops

ai-native userAgent access — MCP, CLI, and API access for agentsAgent access3full9/10T

Action items with owners are automatically extracted from the conversation and collected somewhere I can track them C

Summaries

product managerNotes summaries — stories about notes summaries in this arenaNotes summaries3full8/10C

Capture and transcribe meetings without a visible bot joining the call — audio is captured from my device so external participants see nothing extra C

Capture

founderCapture recording — stories about capture recording in this arenaCapture recording3full8/10C

I get a structured summary right after each meeting — key points, decisions, and next steps — good enough to share without editing C

Summaries

product managerNotes summaries — stories about notes summaries in this arenaNotes summaries3full8/10C

My scripts can pull transcripts, summaries, and action items from every meeting through a documented API with self-serve keys C

Agent ops

ai-native userAgent access — MCP, CLI, and API access for agentsAgent access3full8/10T

Search across every past meeting — transcripts, summaries, and notes — and jump to the exact moment something was said C

Memory

product managerMeeting memory search — stories about meeting memory search in this arenaMeeting memory search3full7/10T

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3partialenterprise6/10C

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3partial4/10C

I connect Google or Outlook calendar once and control per-meeting-type rules for which meetings get captured automatically C

Calendar

product managerCalendar workflow — stories about calendar workflow in this arenaCalendar workflow3partial3/10C

Meeting notes and summaries sync automatically onto the right contact and deal records in my CRM (HubSpot, Salesforce, Attio) C

Integrations

sales leadIntegrations crm — stories about integrations crm in this arenaIntegrations crm3none0/10

The product ships real consent features — participant notifications, in-meeting disclosure, or admin-enforced transparency — not just a policy PDF C

Privacy

it adminPrivacy consent — stories about privacy consent in this arenaPrivacy consent3none0/10

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3noneuntestednone yet

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3n/auntestednone yet

The transcript attributes words to the right named speakers (diarization plus real name matching), not just "Speaker 1/2" C

Transcription

product managerTranscription accuracy — stories about transcription accuracy in this arenaTranscription accuracy3noneuntestednone yet

The vendor documents how transcription actually works and its quality (models, accuracy claims, known limits) rather than just saying "AI-powered" C

Transcription

product managerTranscription accuracy — stories about transcription accuracy in this arenaTranscription accuracy3noneuntestednone yet

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2fullenterprise8/10C

The notetaker reliably captures Zoom, Google Meet, and Microsoft Teams meetings, with recording where I want it C

Capture

product managerCapture recording — stories about capture recording in this arenaCapture recording2full8/10C

Ask questions in natural language across my whole meeting history ("what did we decide about pricing?") and get answers with sources G

Memory

product managerMeeting memory search — stories about meeting memory search in this arenaMeeting memory search2partial7/10T

Set retention policies — auto-delete transcripts and recordings on a schedule — and permanently erase data on demand C

Privacy

it adminPrivacy consent — stories about privacy consent in this arenaPrivacy consent2partialenterprise6/10C

An agent can automatically file each meeting's action items into my project tracker (Linear, Jira, Asana) using the product's API, webhooks, or native automations C

Agent ops

ai-native userAgent access — MCP, CLI, and API access for agentsAgent access2partial5/10T

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2partial5/10T

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partialenterprise5/10C

Sharing is controlled — private-by-default notes, granular link/folder/workspace permissions, and admin visibility into what's shared C

Sharing

it adminSharing collaboration — stories about sharing collaboration in this arenaSharing collaboration2partialenterprise5/10C

Record and transcribe in-person conversations from a mobile app, and those notes land in the same searchable workspace C

Capture

founderCapture recording — stories about capture recording in this arenaCapture recording2none0/10

Start free and see exactly what each paid tier costs and adds — no "talk to sales" wall for basic use G

Pricing

founderPricing plans — plan structure and value — what each tier costs and what it unlocksPricing plans2none0/10

The vendor documents whether meeting data trains AI models and gives my org an enforceable opt-out, alongside SOC 2 / HIPAA posture C

Privacy

it adminPrivacy consent — stories about privacy consent in this arenaPrivacy consent2none0/10

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Notes flow into the tools where work happens — Slack channels, Notion pages, and thousands of apps via Zapier C

Integrations

product managerIntegrations crm — stories about integrations crm in this arenaIntegrations crm2noneuntestednone yet

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2n/auntestednone yet

Run meetings in languages other than English — transcription and summaries support many languages and handle language switching C

Transcription

founderTranscription accuracy — stories about transcription accuracy in this arenaTranscription accuracy2noneuntestednone yet

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2noneuntestednone yet

Shape the notes with custom templates or saved prompts per meeting type (discovery call, 1:1, standup) instead of one generic format C

Summaries

sales leadNotes summaries — stories about notes summaries in this arenaNotes summaries2noneuntestednone yet

I walk into each meeting prepped — the tool surfaces past meetings with the same people and a brief of open threads before the call C

Calendar

founderCalendar workflow — stories about calendar workflow in this arenaCalendar workflow1partial5/10C

The tool drafts my follow-up email from the meeting so I can review and send it in a couple of clicks C

Summaries

sales leadNotes summaries — stories about notes summaries in this arenaNotes summaries1none0/10

Cut a soundbite or highlight clip from a call and share that moment instead of the whole recording C

Sharing

sales leadSharing collaboration — stories about sharing collaboration in this arenaSharing collaboration1noneuntestednone yet

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1noneuntestednone yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 38 stories with headroom

What would move Fellow’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.

  1. Agenticness — how well agents can access and operate the productPlug MCP servers into this product so it can use their tools

    nonemoves agent-readyimpact 45

    All evidence describes Fellow acting as an MCP *server*, exposing its own meeting data/tools to external AI assistants (Claude, ChatGPT, Cursor) — the opposite direction of this story, which asks whether a user can plug external MCP servers into Fellow so Fellow itself can use their tools.

  2. Privacy consent — stories about privacy consent in this arenaThe product ships real consent features — participant notifications, in-meeting disclosure, or admin-enforced transparency — not just a policy PDF

    nonemoves PA Scoreimpact 30

    The evidence shows admin-side policy controls (retention settings, org-wide recording/access policies) and user-side recording controls, but nothing describing participant-facing consent mechanisms such as in-meeting recording disclosure banners, automated participant notifications when a bot joins, or admin-enforced transparency toward attendees.

  3. Integrations crm — stories about integrations crm in this arenaMeeting notes and summaries sync automatically onto the right contact and deal records in my CRM (HubSpot, Salesforce, Attio)

    nonemoves PA Scoreimpact 30

    The evidence describes Fellow's Developer API, webhooks, and MCP server for accessing transcripts/notes/action items, but there is no mention of any native integration or automatic sync with HubSpot, Salesforce, or Attio contact/deal records.

  4. Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models

    nonemoves PA Scoreimpact 30

    The evidence pack covers retention policies, redaction, recording controls, and API/MCP access, but contains no statement about whether Fellow uses customer data to train AI models or any opt-out mechanism for AI training.

  5. Transcription accuracy — stories about transcription accuracy in this arenaThe transcript attributes words to the right named speakers (diarization plus real name matching), not just "Speaker 1/2"

    nonemoves PA Scoreimpact 30

    The evidence pack covers API access, webhooks, MCP server, and recording/retention features, but nowhere mentions speaker diarization or matching transcript segments to real named speakers versus generic labels like 'Speaker 1/2'.

  6. Transcription accuracy — stories about transcription accuracy in this arenaThe vendor documents how transcription actually works and its quality (models, accuracy claims, known limits) rather than just saying "AI-powered"

    nonemoves PA Scoreimpact 30

    The evidence pack covers API access, MCP server, webhooks, and recording/retention features, but contains no documentation of the transcription model used, accuracy benchmarks, or known limitations (e.g., accent/language handling, error rates).

  7. Agenticness — how well agents can access and operate the productRun the product headlessly / in CI for automation

    nonemoves agent-readyimpact 30

    The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na".

  8. Agenticness — how well agents can access and operate the productBuild against official SDKs

    nonemoves agent-readyimpact 30

    Fellow documents a REST Developer API with API-key auth, webhooks, and endpoints for recordings/notes/action items, but no evidence names an official SDK (e.g., Python/JS client library); the openapi.json/swagger probe returned 404 across all standard paths, suggesting no formal spec-based SDK generation either.

Showing the top 8 of 38 — every none/partial verdict in the story verdicts table is headroom.

Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.

Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map7 surfaces · 28 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

API reference24 stories

Probe proofs — replayable recordings from the probe harnessProbe proofs

Replayable recordings from our probe harness — see the Prove-It protocol to submit one.

$curl -si -X POST https://fellow.app/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'reproduced
$ curl -si -X POST https://fellow.app/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'
HTTP/2 401

date: Sat, 05 Sep 2026 04:34:23 GMT

content-type: text/plain; charset=utf-8

content-length: 13

strict-transport-security: max-age=15552000; includeSubDomains; preload

www-authenticate: Bearer realm="Restricted"

x-content-type-options: nosniff

cf-cache-status: DYNAMIC

server: cloudflare

cf-ray: a3628570de0acf1f-SJC

Unauthorized

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

5 of 16 testable claims verified · 2 contradictedintegrity 6/100

26 distinct capability claims found in Fellow’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

5

Verified

9

Unverified

2

Contradicted

14

Undersold

Verified (9)
Unverified (14)
Contradicted (2)
Undersold (14)
Claims outside our story set (3)

Real capability claims found in Fellow’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.

  • Keyword tracking across meetings

    source ↗
  • Transcripts can be redacted

    source ↗
  • Admin dashboards can be built to display data from a specific user's perspective

    source ↗
Suggest a story for these →

Business model

free-tiersubscription-per-seatenterprise-custom

Free plan with 5 lifetime AI notes; Team ($7/user/month annual) and Business ($15/user/month annual) raise limits and add automations and CRM integrations; Enterprise ($25/user/month annual, 10+ users) adds admin/compliance controls.

pricing ↗

Score trend

How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.

PA Scoretracked since Sep 5 '26 — no movement recorded yet
Agent-readytracked since Sep 5 '26 — no movement recorded yet

Try Experimental

Run it in the microterminal →

Recorded agent sessions — and a live MCP handshake where the vendor ships one.

Flag

⚑ Flag a verdict

Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

Badge

Embed this product's score badge →

Hotlinked SVG — always shows the live current score.

For agents

Data

⚿ auth1 auth-gated probe

Agent surface uptime MCP 100% · llms.txt 100% (30d, checked every 6h since Sep 8 '26)