AI-powered equity research

The Data Foundation for AI-Driven Equity Research

Power the next generation of equity research with structured financial data — earnings transcripts, SEC filings, analyst estimates, financial statements, and news feeds that give AI models the context to generate meaningful investment insights.

Full-text, structured

Earnings Transcripts & Filings

Full earnings call transcripts and SEC filings — rich, unstructured text from management teams that AI models can analyse for sentiment, guidance signals, competitive positioning, and strategic shifts.

Statements, estimates, ratios

Structured Fundamental Data

Financial statements, analyst estimates, earnings surprises, insider trades, and institutional holdings — clean, structured data to ground AI-generated research in verified financial facts.

What you can build

AI-powered equity research tools built on FMP data.

Earnings call analysis

Full earnings transcripts across thousands of companies for AI models that extract management tone, guidance changes, and key themes — quarter over quarter.

Document intelligence

SEC filings including 10-K and 8-K documents for AI-driven extraction of risk factors, business descriptions, and material corporate events.

Grounded financial context

Financial statements, ratios, and analyst estimates to anchor AI-generated narratives in verified data — reducing hallucination in research outputs.

Signal enrichment

Insider trading disclosures, institutional 13F holdings, and analyst rating changes as additional signals to enrich AI research with market intelligence beyond the filings.

Data Built for AI Workflows

Programmatic API access to both structured data and full-text financial documents — the combination AI research tools need to generate grounded, accurate outputs.

Structured & unstructured

Historical depth across financial statements, transcripts, and filings to train, fine-tune, and evaluate AI research models across multiple market cycles.

Historical depth

AI equity research tools are only as good as the data behind them. FMP provides the structured fundamentals and rich document corpus that make AI-generated research credible.