Not a dashboard. Not a terminal. The data layer between your stack and your edge. Structured fundamentals, A-Score signals, and AI research queryable via REST, MCP, or Python SDK.
Trusted by quantitative analysts at independent funds, family offices, and systematic desks.
Stop stitching together data sources. MindSTK gives you structured fundamentals, A-Score factors, and AI research in one queryable layer. Faster access, cleaner signal, zero infrastructure overhead.
AI-generated theses, earnings commentary, sector digests, and thematic research synthesized from structured financial data and updated continuously.
Proprietary multidimensional scoring across Value, Quality, Momentum, Low Volatility, and Growth, computed on 5,000+ instruments and refreshed daily.
Connect Claude, ChatGPT, or any AI agent via the Model Context Protocol. Query the full data layer in natural language, no code required.
Clean, versioned endpoints. Structured JSON, low latency, API-key auth. Covers instruments, fundamentals, A-Score, screener, and AI analysis.
Filter 5,000+ equities by A-Score dimensions and fundamental criteria. Returns ranked lists ready to plug into models or backtesting engines.
Investment thesis, risk profiles, earnings previews, competitor analysis, and sector reports generated on demand for any listed equity.
Connect Claude, GPT, or any AI agent directly to MindSTK. 53 tools covering market data, fundamentals, A-Score, and AI analysis, accessible via a single MCP server.
Structured, reliable endpoints covering the full data layer. Structured JSON, low latency, API-key auth.
Ask any financial question and get structured, data-grounded answers. From investment thesis to risk profiling, all generated from real financial data.
Bull case, bear case, price target, and catalysts for any equity.
Comprehensive financial, competitive, macro, and regulatory risk assessment.
Pre-earnings preview plus post-earnings digest with guidance tracking.
Pulse reports, rotation signals, and momentum analysis across sectors.
Head-to-head valuation, quality, and growth comparison with ranked peers.
AI commentary explaining what a quantitative basket captures.
You already have your stack. MindSTK is the missing layer. No new infrastructure, no migration. Just an augmentation layer that answers what your current data cannot.
Point your REST client, AI agent, or Python environment to MindSTK in minutes. No configuration needed.
Access structured fundamentals, A-Score factors, and AI research across thousands of instruments and timeframes.
Drop it into your existing workflow. REST, MCP, Python SDK. Your stack, your rules. No lock-in.
Pay for what you use. No lock-ins, no dashboards, no hidden fees.
Connect in minutes via REST, MCP, or Python SDK. No dashboards, no noise. Just data that works.