about mindstk

Built for quants,
by quants.

Mindstk is a financial data infrastructure company. We build AI-generated alternative data, proprietary scoring models, and developer APIs for systematic investors and quantamental researchers.


Our mission

Institutional-grade financial data has always been locked behind expensive terminals, slow data vendors, and proprietary formats. We are changing that.

Mindstk democratizes access to research-quality financial data: AI-generated investment analysis, multidimensional factor scoring, and normalized fundamentals, all accessible through a single REST API or MCP server. Our goal is to give independent quants, systematic traders, and financial developers the same data edge that hedge funds have, without the enterprise contracts or infrastructure overhead.


What we build

Three pillars of quantamental data infrastructure.

AI Alternative Data

AI-generated investment theses, earnings analysis, sector research, and thematic macro reports, synthesized from structured financial data and updated continuously. Not scraped headlines: structured, machine-readable alternative data.

A-Score Factoriel

Our proprietary composite scoring system covering five independent factor dimensions: Value, Quality, Momentum, Low Volatility, and Growth. Computed across 5,000+ global instruments and refreshed daily.

Developer Platform

Clean REST APIs, an MCP server with 53 tools, and a dashboard for visualization. Designed for developers first: versioned endpoints, structured JSON, low latency, API-key auth.


What we stand for

Data First
Every feature we ship starts with data quality. We do not ship analysis we cannot back with structured, auditable inputs.
Developer Experience
APIs should be obvious. Docs should be complete. Errors should be informative. We treat DX as a product requirement, not an afterthought.
Transparency
Our scoring methodology is documented. Our AI prompts are grounded in structured data. We explain what we compute and how.
Speed
We move fast. We ship often. We fix quickly. A small, focused team with no process overhead.

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