Content Moderator Edge Function — Ai
AIAI content moderation with configurable rules. Classify text as safe/unsafe, detect categories (spam, hate, nsfw), cache decisions for repeat content.
Edge function Content Moderator AI content moderation with configurable rules. Classify text as safe/unsafe, detect categories (spam, hate, nsfw), cache decisions for repeat content.. Deployed on Cloudflare Workers — zero cold starts, globally distributed. Mount it via your Aerostack workspace to call it from any AI agent.
npx aerostack add aerostack/content-moderator Use with AI Assistants
MCPConnect Claude, Cursor, or any MCP-compatible client — then call this function by slug
① Add MCP Server
Add this once — access all Aerostack functions from your AI tool.
{
"mcpServers": {
"aerostack": {
"url": "https://mcp.aerostack.dev",
"type": "http"
}
}
} ② Call this function
Ask your AI to use the call_function tool with this slug:
call_function({
slug: "content-moderator",
args: {}
}) Content Moderator
AI-powered content moderation API. Classify user-generated content and cache decisions.
Endpoints
| Method | Path | Description |
|---|---|---|
| POST | /moderate | Classify text content |
| POST | /moderate/batch | Moderate multiple items |
| POST | /rules | Set custom moderation rules |
| GET | /rules | Get current rules |
| GET | /health | Status check |
Metadata
Tags
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Frequently asked questions
What does the Content Moderator function do? +
Content Moderator is a serverless edge function for ai automation written in cloudflare-worker. Deploy it to Cloudflare Workers via your Aerostack workspace.
How do I deploy the Content Moderator function? +
Install the Aerostack CLI and run: ```bash aerostack deploy function @aerostack/content-moderator ``` It will be live on Cloudflare Workers in seconds.
What runtime does Content Moderator use? +
Content Moderator runs on cloudflare-worker on the Cloudflare Workers edge runtime — zero cold starts, globally distributed.
Can I customise the Content Moderator function? +
Yes. Fork the function from your Aerostack dashboard, modify the source, and redeploy. All changes are version-controlled.