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DataSignals Lab builds self-serve data products that turn official public sources into structured, decision-ready feeds. No raw dumps and no black boxes: each tool takes an official dataset (SEC EDGAR, openFDA, ClinicalTrials.gov, USAspending.gov, US House disclosures, NIH RePORTER, CoinGecko, Apple App Store) and adds a transparent analysis layer, so you get an answer instead of a pile of rows. Pay per result, run via API, or connect to an AI agent. Built for traders, quants, fintech, product teams and researchers.

About DataSignals Lab and how we work

The data products

Financial and market data (SEC EDGAR)

Biotech and healthcare

Government and political

Crypto and market data

Product and app data

Use with AI agents and automation

Every product runs as an Apify Actor, so it drops straight into your stack, with no scraping and no glue code:

Why DataSignals Lab

Financial products are provided as data for research, screening and monitoring, not investment advice. Historical patterns do not guarantee future results.

Keywords: financial data API, SEC EDGAR data, insider trading data, Form 144 insider selling, 13D activist stakes, 13F hedge fund holdings, 8-K material events, FDA approval data, openFDA, clinical trial data, government contracts data, USAspending API, congress trading data, STOCK Act, NIH grants, research funding data, crypto screener, crypto volume scanner, app review sentiment, alternative data, self-serve data feeds, AI agent data tools, LangChain data tool, LlamaIndex, MCP server data, Zapier SEC data, Make automation, no-code data pipeline.