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DataSignals Lab

datasignalslab

We build clean, ML-enriched data tools that turn public sources like SEC filings and market data into actionable signals.

ACTOR STATS

17 public Actors

37 total users

12 monthly users

61.7% runs succeeded

DataSignals Lab

DataSignals Lab turns official public sources into clean, decision-ready data feeds. No raw dumps: each tool takes an official dataset and adds a transparent analysis layer, so you get an answer instead of a pile of rows.

What we build

Financial data (SEC EDGAR), a focused suite for traders, quants and fintech:

  • Insider buying clusters from Form 4 filings, scored and ranked for research and screening.
  • Smart money 13F: hedge-fund buys, increases, trims, exits and cross-fund consensus.
  • 8-K material events, classified and scored by materiality (M&A, executive changes, earnings, restatements, bankruptcies).
  • Biotech catalysts: clinical-trial readouts and results from ClinicalTrials.gov, ranked by potential impact.

App intelligence: App Store review sentiment by aspect, emerging issues and competitor comparison, across countries and languages.

How we work

  • Public, legal sources only (SEC EDGAR, Apple App Store, ClinicalTrials.gov), never personal data.
  • Transparent methods: every score is explained, so you can verify it.
  • Reliable: each actor is monitored daily on stable sources.
  • Self-serve: pay per result, no subscriptions, no sales calls. API and AI-agent ready.

Who uses these

Traders and quants, fintech and research teams, product and ASO teams, competitive-intelligence analysts, and AI agents that need clean, structured data.

Financial products are data for research and monitoring, not investment advice. See the actors below for live examples.

Public Actors