FalsifyLab Alpha
Pull live DeFi yields, SEC filings, macro tape, ETF flows, and prediction-market signals into research and trading agents.
Overview
FalsifyLab Alpha MCP is a MCP server for the Idea phase that streams live DeFi, SEC, macro, ETF, airdrop, and Polymarket whale data into research agents.
What is this MCP server?
- Live DeFi yields, Hyperliquid vault context, SEC insider and 8-K feeds, macro tape, ETF flows, airdrops, and Polymarket
- PyPI package falsifylab-alpha-mcp v0.1.2 with stdio transport.
- FL_API_KEY: free tier auto-issues on first call; Pro keys from falsifylab.com/pro.
- Suited to research-heavy agents before you hard-code a single data vendor.
- Registry version 0.1.2 on PyPI identifier falsifylab-alpha-mcp
- FL_API_KEY with documented free-tier auto-issue on first call
- Pro offering referenced at falsifylab.com/pro
What problem does it solve?
Finance and crypto builders waste days stitching disparate APIs when their agent needs one conversational surface for yields, filings, macro, and prediction markets.
Who is it for?
Indie builders prototyping trading research agents, crypto dashboards, or macro alert products who want bundled live feeds via MCP.
Skip if: Teams that need exchange execution, audited institutional compliance stacks, or market coverage with zero third-party API dependence.
What do I get? / Deliverables
After you set FL_API_KEY and register the server, your agent can query FalsifyLab’s alpha toolkit during research and product build without custom scrapers per source.
- Agent tools for live DeFi, SEC, macro, ETF, airdrop, and Polymarket whale queries
- Stdio MCP server wired with FalsifyLab API authentication
- Research-ready data layer for fintech or crypto copilot MVPs
Recommended MCP Servers
Journey fit
FalsifyLab Alpha is shelved under Idea research because builders typically wire it first to validate markets, narratives, and data edges before committing to a fintech product. Research fits the live alpha feed use case—comparing yields, insiders, macro, and Polymarket context while scoping what to build.
How it compares
Multi-source finance data MCP, not a backtesting framework or brokerage integration skill.
Common Questions / FAQ
Who is FalsifyLab Alpha MCP for?
Solo builders and small teams building AI agents or SaaS around DeFi, equities signals, macro, or prediction markets who want MCP-native live data.
When should I use FalsifyLab Alpha MCP?
Use it while researching market niches and validating data depth, and keep it through Build when your agent must call the same feeds in production prototypes.
How do I add FalsifyLab Alpha MCP to my agent?
Install falsifylab-alpha-mcp 0.1.2 from PyPI, configure stdio in your MCP host, and set secret environment variable FL_API_KEY (free tier on first call or Pro key from falsifylab.com/pro).