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OutlierKit

Capabilities (10 read-only tools): • Outlier video search — semantic search across OutlierKit's index of high-performing "outlier" videos, ranked by how far each beats its channel's norm. • Channel discovery — find outlier channels by topic, or channels similar to one you track. • Deep lookups — full details for any video or channel, plus a channel's recent uploads. • Transcripts & comments — pull a video's transcript and its top or newest comments. • Keyword research — expand seed terms into ranked keyword ideas with monthly search volumes. • Deep/live search — fetch the freshest results directly when you need what's new. Built on OutlierKit's own outlier-detection engine and enriched YouTube metadata — ideal for creators, agencies, and marketers doing content research, competitor analysis, and idea validation without leaving Claude. Requires a paid OutlierKit plan; calls draw from your OutlierKit credit balance. Connect by signing in with Google.

View in the Claude registry
Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Data & Analytics

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Video & Media Data Understanding

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is visible.

Brand
OutlierKit
Access
Account required
First tracked
2026-08-07
Tool count
10
Geography
US

Claude Discoverability Score

Live · refreshed daily. Last refreshed

OutlierKit in Video & Media Data Understanding

0/100
Invisible

#9of 11competitors

This is the score for the Integration’s Primary Category, Video & Media Data Understanding. OutlierKit's tools align with this Category, which is why we measure it here. Claude did not find it in connector search, show it in the connector picker, or invoke it in the measured contested Runs. That is why the score is 0.

How this score is measured
Improve your score Talk to our team

What we measure

One core score. Three important factors to discoverability.

  • Picked

    · 0/100
    Sets the score

  • Found

    · 0/100
    Diagnostic

  • Positioned

    · 0/100
    Diagnostic
Primary Subcategory

Competing in Claude Video & Media Data Understanding

View Category
7 scoredVerified connectors by score · Community connectors A–Z
Primary Subcategory
1Descript96/100
2Jam58/100
3Fireflies35/100
4tldv35/100
5Fathom – Your Meeting Intelligence Layer27/100
—Jockey by TwelveLabsOrganic discovery is pending verificationGet notified when verified
—OutlierKitOrganic discovery is pending verificationGet notified when verified
—SupercutOrganic discovery is pending verificationGet notified when verified
—Valossa AssistantOrganic discovery is pending verificationGet notified when verified
Score explained

What does 0/100 mean?

0 is OutlierKit's rounded picker appearance rate. It appeared in the connector picker, or Claude invoked it directly, in 0% of contested conversations. All three measures are important to discoverability: Picked determines the headline score, Found shows how often Claude found OutlierKit in connector search, and Positioned shows where it appeared in the picker.

InvisibleBuriedEmergingCompetitiveWinning

OutlierKit is 10 points from Buried.

FoundDiagnostic

Whether Claude found your Connector in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.

PickedMain score

How often your Connector appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.

PositionedDiagnostic

What position your Connector appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.

Read the full scoring methodologyRecommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.
Tools

10 tools agents can invoke

OutlierKit FAQ
How do I improve a Community connector's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are OutlierKit alternatives on Claude?

As of 2026-08-14, OutlierKit competes with Descript, Jam, Fireflies, tldv, Fathom – Your Meeting Intelligence Layer, Cloudinary, Roboflow, Jockey by TwelveLabs, Supercut, Valossa Assistant in Claude Video & Media Data Understanding, ranked by public Discoverability Score.

Where does OutlierKit rank in Video & Media Data Understanding on Claude?

As of 2026-08-14, OutlierKit ranks #9 of 11 in Claude Video & Media Data Understanding with a Discoverability Score of 0/100 (Invisible).

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.