Recursive Epistemic Market Microstructure MCP Server
@apifyforge
About Recursive Epistemic Market Microstructure MCP Server
Recursive epistemic market microstructure analysis is now available as an MCP server your AI agent can call directly.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"recursive-epistemic-market-mcp": {
"url": "https://ryanclinton--recursive-epistemic-market-mcp.apify.actor/mcp"
}
}
}Tools
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Overview
What is Recursive Epistemic Market Microstructure MCP Server?
An MCP server that exposes 8 quantitative finance tools — Soros reflexivity fixed‑point iteration, Harsanyi belief hierarchies, minority game phase transitions, rough volatility, entropic optimal transport, regression discontinuity, and the Kyle continuous insider model — calibrated from 16 live public data sources. AI agents connect once to receive structured market microstructure intelligence without building data pipelines or implementing financial math.
How to use Recursive Epistemic Market Microstructure MCP Server?
Add the server URL (https://recursive-epistemic-market-mcp.apify.actor/mcp) to your MCP‑compatible client (Claude Desktop, Cursor, Windsurf) with your Apify API token as the Authorization: Bearer YOUR_TOKEN header. Your AI agent then calls any of the 8 tools – for example “detect reflexive dynamics for AAPL” – and receives structured JSON results.
Key features of Recursive Epistemic Market Microstructure MCP Server
- Soros reflexivity detection with three regime classifications
- Minority game simulation with phase transition detection
- Kyle (1985) insider model with probability of informed trading
- Rough volatility estimation (Hurst exponent) via log‑variogram regression
- Entropic optimal transport for regime transition probabilities
- Sharp regression discontinuity for regulatory impact estimation
Use cases of Recursive Epistemic Market Microstructure MCP Server
- Quantitative hedge fund research — identify reflexive dynamics and obtain Hurst exponents for options pricing, using live macro and quote data.
- Market surveillance and compliance — screen insider trading filings for elevated Probability of Informed Trading and price impact lambda.
- AI agent financial reasoning — ground analysis in live data and rigorous models via MCP tool calls instead of hallucinated market dynamics.
- Macro research and policy analysis — estimate causal effects of federal regulations using sharp regression discontinuity with optimal bandwidth.
- Volatility trading and options desks — classify assets by roughness regime for accurate implied vol surface calibration.
FAQ from Recursive Epistemic Market Microstructure MCP Server
What is the pricing model?
Each tool call costs $0.10 with no subscription or minimum commitment. You can set a per‑run spending cap in Apify to prevent runaway agent loops.
What data sources does the server use?
16 live public sources including SEC EDGAR, SEC Insider Trading, FDIC, Congressional Stock Tracker, Finnhub, CoinGecko, FRED, BLS, Federal Register, OpenCorporates, CFPB, ECB Rates, and others.
How do I connect my AI client to the server?
Add the server URL and your Apify API token as an Authorization Bearer header in your MCP client’s configuration (e.g., claude_desktop_config.json).
Are there any usage limits?
No hard limits, but you can set a spending cap per run in Apify. The server runs in Apify Standby mode for millisecond‑response availability.
What transport protocol does the server use?
The server uses the MCP protocol over HTTP. It exposes a single url endpoint that any MCP‑compatible client can connect to.
Frequently asked questions
What is the pricing model?
Each tool call costs $0.10 with no subscription or minimum commitment. You can set a per‑run spending cap in Apify to prevent runaway agent loops.
What data sources does the server use?
16 live public sources including SEC EDGAR, SEC Insider Trading, FDIC, Congressional Stock Tracker, Finnhub, CoinGecko, FRED, BLS, Federal Register, OpenCorporates, CFPB, ECB Rates, and others.
How do I connect my AI client to the server?
Add the server URL and your Apify API token as an Authorization Bearer header in your MCP client’s configuration (e.g., `claude_desktop_config.json`).
Are there any usage limits?
No hard limits, but you can set a spending cap per run in Apify. The server runs in Apify Standby mode for millisecond‑response availability.
What transport protocol does the server use?
The server uses the MCP protocol over HTTP. It exposes a single url endpoint that any MCP‑compatible client can connect to.
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