FactIQ
FactIQ provides a data layer plugin for AI agents like ChatGPT and Claude, giving them access to accurate economic data, market prices, and company financials with full source provenance. The platform reconciles units, frequencies, and definition changes across 100M+ time series and 40,000+ earnings calls, enabling AI to produce verifiable, shareable charts and reports. It works directly within ChatGPT, Claude, Claude Code, and Codex, allowing analysts to query primary sources like SEC filings, customs data, and official statistics without web search limitations.
- Data & Analytics
- Financial Technology
- Artificial Intelligence
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
AI agents conducting investment research or economic analysis often pull data from the open web, which hands them stale figures, paywalled sources, and numbers with no provenance. Raw data in the wild is messy and rarely standardized—units differ, and definitions and measuring techniques change over time—so a model will confidently compare two series that no longer measure the same thing, breaking the accuracy of downstream analysis.
Solution
FactIQ provides a data layer—a plugin for AI agents—that enables accurate macro data, market prices, and company financials to be accessed in one place. Your agent queries the data directly, computes in its own context, and publishes what it finds as shareable charts and reports, with every number traced to its source. FactIQ reconciles units and frequencies across sources, tracks definition changes and revisions over time, and keeps the metadata a model needs—units, methodology, coverage—accurate and current. The service works inside ChatGPT, Claude, and the terminal, pulling answers from company filings, live prices, and official statistics.
Target Audience
Primary users are investment researchers, analysts, and economists who run AI-driven research workflows and need accurate, auditable financial and macroeconomic data with provenance. The service also targets organizations seeking broader intelligence and deeper history through work plans for company-wide access.
Features
- Source-linked answers: Every number in a response is connected to its originating source—company filings, live prices, or official statistics—enabling verification and auditability.
- Broad data catalog: Includes SEC EDGAR filings for US and international companies, plus 1.7M BLS series, 5.5M Census series, 297K BEA series, 5.6M IMF series, and 242K World Bank series, among others.
- Standardized and reconciled data: Data is normalized for LLM consumption, reconciling units, frequencies, and definition changes across time and sources so an agent does not compare mismatched series.
- Multi-jurisdiction coverage: Economic and financial data from the US, Europe, Asia-Pacific (China, India, Japan, Korea), and global institutions (IMF, World Bank, WHO, BIS).
- Shareable outputs: Agents can publish results as charts and reports directly from the data they query.
- Plugin deployment: Works in ChatGPT, Claude, Claude Code, and Codex, allowing flexible integration into existing research workflows.
- Real-time updates: Automated agents continuously check for new releases and revisions, with a public update log.
- Scale: 100M+ time series, 40,000+ earnings calls, 6,400+ companies with filings, and coverage across 190+ countries.