Influencer Brand Safety Intelligence

Name: Influencer Brand Safety Intelligence
Author: apifyforge

@apifyforge

Influencer Brand Safety Intelligence について

Influencer brand safety screening for AI agents and brand teams — this MCP server delivers automated creator vetting, controversy risk analysis, audience authenticity scoring, and sanctions screening through 8 callable tools that orchestrate 9 parallel data sources.

基本情報

カテゴリ

その他

ライセンス

MIT

公開者

apifyforge

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "influencer-brand-safety-intelligence-mcp": {
      "url": "https://ryanclinton--influencer-brand-safety-intelligence-mcp.apify.actor/mcp"
    }
  }
}

ツール

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概要

What is Influencer Brand Safety Intelligence?

It is an MCP server for automated creator vetting, controversy risk analysis, audience authenticity scoring, and sanctions screening through 8 callable tools that orchestrate 9 parallel data sources. Built for brand marketers, influencer agencies, legal and compliance teams, and PR risk managers who need structured, data-driven intelligence before committing partnership budgets.

How to use Influencer Brand Safety Intelligence?

Add the server URL to your MCP client configuration (Claude Desktop, Cursor, Windsurf, etc.) as shown in the Quick Start. Then ask your AI assistant to vet a creator using natural language, or call any of the 8 tools directly. Each tool returns scores, verdicts, and risk signals within 30–90 seconds.

Key features of Influencer Brand Safety Intelligence

8 targeted MCP tools covering every phase of creator vetting
9 parallel data sources queried simultaneously (Bluesky, Trustpilot, OFAC, etc.)
17 controversy keyword patterns scanned across all content
12 brand-unsafe content categories flagged independently
8 audience inauthenticity signals detected (bots, fake followers, etc.)
4 independent scoring models combined into a Composite Brand Fit Score (0–100)
5‑tier partnership verdicts from BRAND_SAFE to DO_NOT_PARTNER
Sanctions confidence thresholding (OFAC matches at 60+ score) to reduce false positives

Use cases of Influencer Brand Safety Intelligence

Pre‑campaign creator vetting: screen top candidates before committing budgets
Influencer agency portfolio management: schedule recurring safety screens for all roster members
Legal and compliance review: documented sanctions screening for talent contracts
Crisis prevention: surface current controversy and historical archive flags
Multi‑creator shortlist comparison: rank 2–5 creators by composite brand safety score

FAQ from Influencer Brand Safety Intelligence

What data sources does the server query?

It queries 9 parallel sources: Bluesky Social Search, Trustpilot, Multi‑Review Analyzer, OFAC Sanctions, OpenSanctions, Hacker News, Wayback Machine, Website Contact Scraper, and Website Content to Markdown.

How is the Composite Brand Fit Score calculated?

The weighted formula is: (100–brandSafety) × 0.25 + (100–authenticity) × 0.20 + controversyRisk × 0.30 + historicalRisk × 0.25. Controversy risk has the highest weight.