Sigment for AI agents
Sigment finds and vets social creators by their real audiences. Claude and other AI agents use it through one MCP server.
Sigment measures who actually engages with Instagram, YouTube and TikTok creators, and how much of that audience the creators share. Any agent that speaks the Model Context Protocol can drive it: discover creators for a topic, analyze their shared ("core") audience, optimize a selection and save a shareable shortlist.
Quickstart
Connect Claude and build your first shortlist in two minutes.
Claude Code
One command: claude mcp add.
Tools
The 24 tools, their inputs and limits.
Credits
What costs credits and how to cap an agent's spend.
How an agent uses Sigment
get_account: check the workspace, the credit balance and today's agent budget.discover_creators(new creators for a topic) orsearch_creators(known handles).wait_for_job, thenget_discovery.analyze_creators, thenwait_for_jobandget_analysis_result.create_creator_list/set_creator_list, thenshare_creator_listwhen the user asks for a link.
Paid tools spend the workspace's credits: discovery costs 20, an analysis 15, and a re-analysis 5. Agents call quote_cost first and pass max_credits, so a call never spends more than the user allowed.
What is and isn't available
- MCP is the supported way to use Sigment programmatically. Sign in with OAuth (Claude, ChatGPT, Cursor) or use an API key for headless agents.
- The REST API behind the app isn't public. It refuses OAuth tokens and API keys with
403, so build on the MCP tools instead.
Docs for agents
Every page is also available as Markdown: add .mdx to its URL. /llms.txt indexes them, and /llms-full.txt has everything in one file. To let Claude Code read these docs as tools, add the docs MCP server: claude mcp add --transport http sigment-docs https://docs.sigment.ai/mcp.