Understand any YouTube creator's audience, growth, and winning formats — in one API call
Audience makeup, what's resonating (and what isn't), whether a channel is growing or declining, and the topics and formats that work best for their viewers. Built for influencer platforms, brand-safety layers, and creator-discovery products.
Want to see the endpoints fire before you sign up? Try the live demo apps →
What you get back per creator
Everything you'd want to know about a YouTube creator — in one response
For every channel you send in, you get back who their audience is, what's actually resonating with that audience, whether the channel is growing or declining, and the topics and formats that work best for them. No scraping, no ML pipeline on your side.
Without OutlierKit
Build it yourself
- ·Wrestle with the YouTube Data API and scraping fallbacks
- ·Figure out what's actually resonating vs. one-off viral
- ·Train models to infer audience age, region, and language
- ·Build an embeddings pipeline for similar-creator lookups
- ·Fetch, cache, and store transcripts at scale
With OutlierKit API
Get it back in one response
- ✓Who the audience is — age, region, language
- ✓What's actually resonating with that audience
- ✓Whether the channel is growing or declining
- ✓The topics and formats that work best for their viewers
- ✓Similar creators in the same size class for look-alike expansion
How it works
From a channel ID to a full creator picture — in four steps
Send a channel ID, get back who watches, what's resonating, whether the channel is growing, and which topics and formats are actually working. Write it straight into your creator record.
Send a channel ID
Pass any YouTube channel ID — from your discovery vendor, a CSV, or an in-product search. One call returns the full profile.
Get the audience
Who actually watches: age, region, language, and the kind of viewer this channel attracts. Useful for fit, not just reach.
See what's resonating
The videos, topics, and formats that are actually working for this creator right now — separated from one-off viral hits.
Track growth and similar creators
Is the channel growing or declining? Who are the closest comparable creators? Both come back in the same response.
Endpoint shapes, parameters, and response schemas live behind signup.
This page is the integration overview — the shape of what's possible. The exact request/response reference is in your dashboard once you're on a Pro or Max plan.
What you actually get
Eight things you learn about every creator
Everything below comes back pre-processed in one response — no scraping, no LLM step on your side, no normalisation pipeline. Drop straight into your creator profile, search index, or agent.
Who actually watches
Audience age, region, and language — inferred from content, comments, and presentation. A read on the viewer, not just the creator.
What's resonating right now
The videos that are over-performing for this specific channel — separated from one-off viral hits so you see repeatable patterns, not luck.
Topics and formats that work
Normalised content tags showing the topics and styles this audience actually responds to. Drop straight into faceted search or recommendations.
Whether the channel is growing
All-time and recent average views side by side, so you can tell at a glance whether momentum is up, flat, or fading.
What the channel is really about
A short AI-written summary based on actual video content — not the bio the creator wrote two years ago.
Channel type and language
Primary language plus a faceless / personality-led / brand-owned classification — so you can match creators to the right campaign format.
Similar creators in the same weight class
Look-alike channels that are semantically close AND comparable in size — so a mid-tier creator doesn't return matches 100× bigger.
Brand-safety signal
An originality score plus how tightly the channel sticks to its topic — useful inputs for a brand-fit or safety rollup.
What teams are building
Where the YouTube creator discovery API plugs in
Influencer-platform enrichment
Layer YouTube performance and content signals on top of your existing cross-platform creator records — outlier scoring, look-alike sets, AI-extracted tags written straight into your creator schema.
- Pipe channel IDs from your existing discovery vendor into the enrichment layer
- Write AI tags and audience metadata into your faceted search index
- Expand shortlists with look-alike creators in the same operational weight class
Creator-discovery SaaS
Build a YouTube-first discovery product without standing up your own embedding pipeline. The similarity layer and outlier index do the heavy lifting.
- Semantic search across channels and videos by intent, not keyword overlap
- Look-alike expansion with size-proximity reranking out of the box
- Pre-extracted audience metadata — no inference step on your side
Brand-safety & content-fit scoring
Qualify a creator for a brand on more than reach. Bring topical fit, originality, content language, and recent activity into the score.
- Originality and focus signals as inputs into your brand-safety rollup
- Cached transcripts to drive keyword-blocklist checks at scale
- Live comment fetch for sentiment and audience-tone snapshots
AI agents & RAG over creator data
Stop scraping. Feed structured creator intelligence straight into agent loops, vector stores, or LLM prompts and let them reason over qualified data.
- Channel profiles and outlier metrics arrive as JSON, agent-ready
- Transcripts cached forever — load once into your vector store
- Composite scores let agents rank without re-deriving the math
Where this fits
Augments your stack — doesn't replace it
If you're shipping an influencer marketing platform, creator-discovery SaaS, or brand-safety product, you don't need to rip out your existing discovery vendor. The YouTube creator intelligence API sits underneath the part of the workflow that actually qualifies a creator on content fit and performance ceiling.
01 · Source
Your existing platform
Cross-platform discovery, audience verification, outreach workflow stays where it is.
02 · Enrich
OutlierKit API
Pipe channel IDs into the creator-intelligence layer. Outliers, look-alikes, AI tags, audience metadata.
03 · Surface
Your product UI
Render outlier badges, look-alike sets, content-fit tags inside the dashboards your customers already use.
Want the side-by-side with Modash, Aspire, CreatorIQ and friends? See best influencer marketing platform APIs for the full comparison.
Frequently Asked Questions
What SaaS teams ask before they wire the API into their product.
How is this different from the YouTube Data API for a creator-platform integration?+
The YouTube Data API returns raw fields — subscribers, view counts, video metadata. To turn that into a usable creator profile you still need to compute outlier scores against per-channel baselines, derive content tags, infer audience age and region, and build semantic similarity over embeddings. OutlierKit ships those derived signals. You skip the ML pipeline and the scraping fallbacks.
Can I use the OutlierKit API inside my own SaaS or influencer platform?+
Yes. Pro and Max plans include API access and permit integration into your own product, including customer-facing dashboards, internal tools, and AI agents. Specific terms, request shapes, and rate limits live in the API reference after signup.
Do I have to replace my existing creator-discovery vendor?+
No — and that's usually the wrong framing. Platforms like Modash, Aspire, CreatorIQ and Upfluence handle cross-platform discovery, audience verification, outreach, contracts, and campaign measurement. OutlierKit is the YouTube performance + content-intelligence layer underneath. Most teams keep their existing platform for the workflow and pipe channel IDs into OutlierKit to enrich the YouTube side.
How fresh is the channel data?+
Channel data is cache-aware: cached when fresh, refreshed on staleness. Recent uploads and comments are live on every call so you see new activity within minutes of publish. Transcripts are cached on first fetch because they don't change.
What does it cost?+
Every API call is 1 credit, regardless of endpoint. Pro includes 500 credits/month ($49/mo or $24.9/mo annual). Max includes 2,000 credits/month ($199/mo or $83/mo annual). Credits are shared with the OutlierKit web app and additional credits are available at $10 per 100.
How do I see the full technical reference?+
This page is the integration overview — the shape of what's possible. The canonical request/response reference, every parameter, error envelopes, and rate limits live in the API docs which you'll access from your dashboard after signup.
Keep reading
OutlierKit API overview
The full capability map — what each part of the API returns and how teams are wiring it in.
Influencer platform APIs compared
Modash, Aspire, CreatorIQ, Upfluence — what each one ships and where OutlierKit fits underneath.
OutlierKit MCP server
Plug the same intelligence into Claude Desktop, Cursor, and MCP-compatible agents.
n8n automation workflows
Scheduled competitor reports, outlier alerts, and keyword monitoring piped through n8n.
Claude + OutlierKit prompts
AI-assisted competitive analysis with ready-to-use Claude prompt templates against OutlierKit data.
Ready to wire it into your product?
Upgrade to a Pro or Max plan to get API access and the full technical reference. Or get in touch first if you want to scope the integration with us.
