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FactIQ
FreemiumOpen Source
A margin question on a semiconductor stock leads to a Korea customs export query, which leads to a macro demand question — and most research tools make you context-switch three times to get there. FactIQ routes all three through a single plugin call.
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Summary
The tool is a hosted data plugin that connects to Claude Code or Codex, giving AI agents direct access to SEC-filed company fundamentals for roughly 1,000 US-listed companies, live and historical market prices, commodities, FX, and 25 million-plus official economic time series from 22 global institutions. A single investment question decomposes across those data sources with each number traced back to its origin file or institution. The free tier covers all data with no query or seat limits — the paid tier, on a waitlist, adds earnings call transcripts, satellite imagery, and structured extractions from industry PDFs. Where the tool breaks: it is a data retrieval layer, not an analysis engine, so interpretation, modeling, and workflow logic still live entirely in whatever agent or terminal session calls it.
Bottom line: Pick this when your AI agent needs sourced, multi-dataset financial and macro data in one plugin call — plan a separate layer when you need structured earnings-call sentiment or alternative data signals, both of which are paid-only features gated behind a waitlist.
Pricing Plans
Flat RateLast verified 1 day ago- Price
- $250/month
- Free Tier
- Global macro, company and market data at no cost. US-listed companies with $1B+ market cap up to 10 years. Equity quotes, price history, commodities & FX. Global geospatial data including shipping & ports, water levels, rainfall, temperature & soil moisture.
Free
Free
Global macro, company and market data at no cost
- Global macro & statistics
- US company financials for $1B+ market cap companies up to 10 years
- Equity quotes, price history, commodities & FX
- Global geospatial data - Shipping & ports, water levels, rainfall, temperature & soil moisture
Research
$250per month
Five years of premium intelligence for active research
- Company-specific metrics up to 5 years, S&P 500
- Earnings-call intelligence up to 5 years, S&P 500
- China & Taiwan trade up to 5 years
- India monetary & financial data up to 5 years
- Satellite intelligence up to 5 years
Institutional
$1,500per month
Broadest coverage and 10+ years of history for deeper research
- Company-specific metrics 10+ years, US-listed, $1B+ market cap
- Earnings-call intelligence 10+ years, US-listed, $1B+ market cap
- Full China & Taiwan trade archives
- Full India monetary & financial archive
- Full satellite-signal history
View full pricing on factiq.com →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
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Pros
- Multi-domain query decomposition across company financials, market prices, and macro time series in a single plugin call, so an agent testing an investment thesis does not have to stitch together three separate API integrations.
- Every data point is traced to its source filing or institution, which means audit trails for downstream stakeholders come for free rather than requiring a separate logging layer.
- 25M-plus official economic time series from 22 institutions — including Asia-Pacific customs bureaus at the HS code level — so agents can reach demand-side macro signals that most financial data APIs do not surface at all.
- No query, chart, or seat limits on the free tier, so a team prototyping with multiple agents or analysts does not hit a usage wall before the use case is validated.
- Browser sign-in authentication with no API key requirement, so onboarding an agent to the data source does not require a secrets management change in production infrastructure.
Cons
- Coverage is limited to roughly 1,000 US-listed companies above $10B market cap — the moment a research question involves a mid-cap, a foreign-listed company, or a private firm, the plugin returns nothing and teams must route to a separate data source, breaking the single-session thesis-testing workflow the tool is designed around.
- Structured earnings call transcripts, 10-Q bespoke metric extractions, satellite imagery, and industry report data are paid-only features on a waitlist with no stated delivery timeline; teams that need alternative data signals for production agents right now will find the free tier stops short and have no upgrade path yet, which is the condition under which teams already using Bloomberg or Refinitiv APIs will skip this entirely.
- No self-hosted option means the data pipeline runs on vendor infrastructure — teams in environments with data residency requirements or strict third-party connectivity policies cannot deploy this without an exception, and there is no architectural workaround described in the docs.
About
- Platforms
- Terminal, Claude Code, Apps
- API Available
- No
- Self-Hosted
- No
- Last Updated
- July 8, 2026
Best For
Who it's for
- AI agents requiring sourced financial and economic data
- Terminal-based research with Claude Code
- End-to-end thesis testing with traceable numbers
- Users needing free access to company financials and markets
What it does well
- Query company fundamentals and earnings from SEC filings
- Analyze historical and live market prices alongside commodities and FX
- Explore 25M+ official economic time series from global institutions
- Decompose multi-part investment questions across company, market, and macro data
Integrations
Frequently Asked Questions
- Is FactIQ free?
- FactIQ offers a free option alongside paid upgrades. Pricing: $250/month. Check the current allowances and terms before choosing a plan.
- Is FactIQ open source?
- Yes. FactIQ is open source.
- What platforms does FactIQ support?
- FactIQ is available on: Terminal, Claude Code, Apps.
Financial research questions rarely stay in one data domain. FactIQ is a hosted data plugin — accessed via the Claude Code plugin marketplace or Codex — that lets an AI agent pull company fundamentals from SEC filings, live and historical market prices, commodities and FX rates, and official economic time series from global institutions, all inside a single session. The vendor demonstrates this with a Micron thesis that decomposes into quarterly revenue from 10-K filings, DRAM and NAND export volumes from Korea Customs by HS code, and flash and DRAM data from Japan Customs — one question, three jurisdictions, every number cited to source.
The differentiating architecture is source traceability. Rather than returning a synthesized answer, the plugin structures its output so each data point links back to the filing, customs bureau, or institution it came from. For anyone stress-testing an investment thesis or building an agent that downstream users need to audit, that trace matters more than the number itself.
The free tier covers the full current data catalog — approximately 1,000 US-listed companies above $10B market cap, market prices, and the 25M-plus macro time series — with no stated limits on queries, charts, or seats. The paid tier is on a waitlist and gates access to bespoke disclosures extracted from 10-Q and 10-K filings, structured earnings call and investor event insights, government policy document intelligence, satellite imagery, and tabular data from industry PDFs. Teams that need those layers before the waitlist resolves will need to source them separately.
Setup follows three steps the docs describe: add the plugin in the terminal, run the reload and MCP commands inside Claude Code, and complete a browser-based account sign-in — no API key required. There is no self-hosted option; the data service runs on FactIQ’s infrastructure, which means data freshness, uptime, and any future pricing changes are outside the user’s control.
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