📋 Copy Blueprint Command { } Inspect JSON API Ground-Truth Source ↗

⚡ 1-Click Agent & Developer Install

Zero Auth · Ready for Grok Bot, Claude Code & Cursor

### 1. The Workflow Bottleneck & Problem Statement Creators waste weeks producing videos on saturated topics instead of spotting high-velocity outlier formats early. ### 2. Synthesized Agent Architecture & Connected Stack **YouTube & X Outlier Topic Velocity & Hook Structure Analyzer** (`youtube-outlier-research`) is a verified production blueprint curated from **@petergyang**'s real-world implementation. - **Primary Capability:** Identifies videos and threads outperforming a creator's baseline views by 5x+, extracts the opening 30-second transcript hook, and maps topic gaps. - **Connected Tool Stack:** TranscriptAPI MCP, SuperX MCP, Notion - **Execution Governance:** `Read-Only Discovery` → `Deterministic Policy Check` → `Ask-First Human Approval` - **Certified Builder Source:** [@petergyang](https://x.com/petergyang/status/2045385284081266816) ### 3. Step-by-Step Implementation Blueprint 1. **Trigger & Data Ingestion:** Configure your agent routine to watch **TranscriptAPI MCP** on a scheduled cadence or event webhook. Treat all external text as untrusted data inside XML fences. 2. **Cross-System Enrichment & Verification:** Query **SuperX MCP** to validate live capacity, account status, or code state before generating recommendations. 3. **Human-in-the-Loop Action Staging:** Post a structured summary card to **Notion** with 1-click approve/edit controls so your team retains full oversight. ### 4. Copy-Paste System Prompt & Routine Configuration ```text Implement the 'YouTube & X Outlier Topic Velocity & Hook Structure Analyzer' workflow curated with @petergyang. 1. OBJECTIVE: Identifies videos and threads outperforming a creator's baseline views by 5x+, extracts the opening 30-second transcript hook, and maps topic gaps. 2. CONNECTED TOOL STACK: TranscriptAPI MCP, SuperX MCP, Notion 3. STEP-BY-STEP EXECUTION LOOP: - Step A (Ingest & Ground): Query live inputs from TranscriptAPI MCP and cross-reference state in SuperX MCP. - Step B (Analyze & Validate): Apply strict filtering rules, verify schema/policy constraints, and flag any anomalies or missing fields. - Step C (Stage & Report): Prepare the structured output, draft replies/tickets in Notion, and request human confirmation before executing any external send or production write. ``` ### 5. Measured ROI & Production Impact - **Verified Outcome:** Surfaces 10 data-backed outlier content angles every Monday morning with full transcript breakdowns. - **Builder Portfolio:** [Explore all capabilities by @petergyang →](/u/petergyang)

Tags: #youtube-outlier-research#use-case#marketing-seo#petergyang#transcriptapi-mcp#superx-mcp

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