YouTube Agent
Research public YouTube channels, videos, and trends — read-only, inside your assistant.
The YouTube Agent turns public YouTube into channel and content research: channel and video metadata, view-count signal, related videos, search, and trending. It owns the YouTube Data Skill — the deterministic read path — and composes the Role-Agent Skills behind creator vetting, competitor demo reception, and content-demand work — and never uploads or comments.
YouTube Agent composes the Role-Agent Skills that read YouTube and exposes its public-data API. Same capabilities, sliced by source — read-only.
A YouTube brief: channels, video demand, and related content for a niche — each cited.
- Channel and video metadata with view/like counts
- Related-video and trending signal for a niche
- Search-based demand for a topic or format
- Each figure cited to the public video or channel
Who runs this Agent
- Influencer teams vetting YouTube channels before spend
- Competitive teams reading demo and launch reception
- Content teams sizing video demand for a topic
Paste this into Claude or Codex
The prompt is editable. Replace the brand, market, competitors, or location, then let the assistant call UnifAPI MCP when it needs live public data.
Research YouTube for my topic: pull the channels and videos that own it, their view and like counts, and related content. Return a cited brief on demand and the strongest channels — read-only, do not upload or comment.
From public records to a decision brief
Frame the YouTube query
Give the agent channels, a topic, or competitor videos to research; public reads only.
Pull channels, videos, and related
UnifAPI returns channel/video metadata, view/like counts, related videos, search, and trending. Note: YouTube exposes no comment listing.
Return the demand brief
The agent reports the strongest channels and video demand with cited links, then hands off to the composed Skills.
The concrete tasks YouTube Agent runs
A Skill is one concrete capability — a run-prompt the Agent executes. Open a Skill for its detailed workflow, expected output, and FAQ.
YouTube data
EnhancedThe deterministic guide to reading public YouTube data through UnifAPI — channels, videos, related content, search, and trending.
KOL pricing
EnhancedEstimate Twitter/X KOL rates from public engagement, audience fit, and risk.
Creator shortlist
EnhancedFind creators by niche, audience language, recent momentum, and platform fit.
Audience fit check
EnhancedVet a single creator's audience fit and brand-safety from public posts and engagement before outreach.
Competitor profiling
EnhancedTurn a competitor's public footprint into a structured, source-cited profile — positioning, product, pricing, and implications.
Content brief
EnhancedFind repeated questions and formats across YouTube, TikTok, Reddit, and X.
Public-data tools this Agent calls
Agents are the workflow layer. The same live APIs are callable directly for product code, debugging, and custom agent flows.
This is a read-only research agent for one platform. It reads public data and returns evidence — it never logs into, posts to, comments on, or messages on the platform, and it never holds your account credentials.
Questions about the YouTube Agent
Scope, billing, public-data boundaries, and how this Agent runs inside your assistant.