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AI for economics research, with every number tied to its source

Pull time series from FRED, the OECD, the World Bank and US Treasury Fiscal Data, read company filings from SEC EDGAR, keep reported metrics apart from your assumptions, and test relationships in Data Lab.

The Free plan has 45 credits a month. Official Sources lookups and Data Lab statistics are free; a Summary answer costs 1 credit and an AI results paragraph 2.

AI for economics research is only as good as the data it can show you the source for. AI for Research looks up public economic data from FRED, the OECD, the World Bank and US Treasury Fiscal Data, and company filings from SEC EDGAR, all free in Official Sources. The Financial research workbook keeps each reported metric with its period, unit, currency and the passage it came from. Data Lab analyzes your series in the browser, and Deep Research finds and cites the literature.

Sources for business and economics

SourceWhat it holdsWhere in the productCredits
FREDUS and international economic time series: output, prices, rates, employmentOfficial Sources0
US Treasury Fiscal DataFederal debt, receipts, spending and interest ratesOfficial Sources0
OECDEconomic and social statistics for member countriesOfficial Sources0
World BankDevelopment indicators by country and yearOfficial Sources0
SEC EDGARUS company filings, such as annual and quarterly reportsOfficial Sources0
OpenAlex and Semantic Scholar250M+ scholarly works, including economics and management journalsAll papers; Find PapersSearch 0
WebCentral bank reports, working papers, statistics office releasesWeb source in Deep ResearchAs the run's depth

Deep Research costs by depth: Summary 1 credit, Deep 15, Detailed 45 (paid plans).

Tools for business and economics

ToolWhat it doesCredits
Official SourcesLook up the series and filings above, with their source and units0
Financial research workbookReported metrics with company, definition, value, unit, currency, period, filing date and the source passage; scenario assumptions kept separate; a research memo0
Data LabCorrelation, regression, group comparisons, calculated in the browser; PDF report0; AI write-up 2
Bayesian statisticsBayesian t-tests and proportions with Bayes factors0
Deep ResearchCited answers from the economics literature and the webSummary 1, Deep 15, Detailed 45 (paid)
Find PapersSearch journals and working papers0
White paper writerAn industry or policy white paper built on cited evidence and your own figuresWhole 15, section 3

The Financial research workbook is in Workbooks. Its comparison view only groups metrics that share the same definition, period, unit, currency and version (as reported or restated), so a quarterly figure is never compared with an annual one by accident.

A worked example

Example (invented for illustration): an economics undergraduate is writing a dissertation on whether rising mortgage rates slowed US housing starts.

  1. In Official Sources he looks up FRED's 30-year mortgage rate and housing starts series, monthly, and downloads both. 0 credits.
  2. He adds OECD house price data for comparison with three other countries. 0 credits.
  3. A Deep Research Summary answer on "how do mortgage rates affect housing construction?" cites eight papers. 1 credit. A follow-up on lags: 1 credit.
  4. In Data Lab he runs a Pearson correlation and a linear regression of starts on the rate lagged six months, which he computed in his spreadsheet. Free. The AI results paragraph costs 2 credits, and he downloads the PDF report, free.
  5. For one homebuilder case study, he records revenue and orders from two SEC EDGAR annual reports in the Financial research workbook, each with period, unit, currency and the quoted passage. 0 credits.

Total: 4 credits, inside the Free plan's 45 a month. His supervisor asks for a stronger literature section, so he runs one Deep report: 15 more, 19 in all.

Citation styles and reporting standards

Economics journals mostly use author-year styles, such as the AEA's or Chicago author-date, and business schools often ask for APA or Harvard; all are among the 10,000+ styles in the editor. Data needs a citation too: give the series name and identifier, the publisher, the frequency, and the date you downloaded it. For company data, cite the filing, its form type and the period. The SAMPL guidelines in the guideline check help with reporting regression results.

What it does not do

  • It is not investment, tax or accounting advice, and it does not recommend securities.
  • No paid market data: Bloomberg, Refinitiv, Statista, Compustat and CRSP are not searched, and neither are paid market research reports.
  • No econometric models beyond regression: no panel data, IV, ARIMA or VAR.
  • It does not forecast. Projections appear only when a cited source makes them, labeled as that source's.
  • Data series get revised. Note the vintage or the date you downloaded each series.

Who uses it

For surveys, interviews and social data, see social sciences.

Learn more

Last updated 2026-11-13

Questions

More in the help center.

Can I get FRED data in AI for Research?

Yes. Official Sources looks up FRED series free of charge and shows each with its title, unit, frequency and source, so you can cite it. Download the series as a file and load it into Data Lab to analyze it. FRED's own terms apply to the data, and some series carry the original publisher's copyright.

Which economic and financial sources are covered?

Official Sources covers FRED, US Treasury Fiscal Data, the OECD, the World Bank and SEC EDGAR, next to ClinicalTrials.gov, openFDA, USPTO PatentsView and ReliefWeb. Deep Research and Find Papers search the economics literature in OpenAlex and Semantic Scholar, and working papers through the Preprints and Web sources.

Does it include Bloomberg, Statista or other paid market data?

No. Only public sources are looked up. Bloomberg, Refinitiv, Statista, Compustat, CRSP and market research reports are not searched. If your institution licenses them, export the data and load it into Data Lab, or upload the reports to your Library.

Is this investment advice?

No. The Financial research workbook keeps reported figures, your scenario assumptions and your memo apart, so the reasoning can be checked. Nothing here is investment, tax or accounting advice, and it does not recommend buying or selling any security.

Can it run econometric models?

Data Lab runs linear and logistic regression, correlation, group comparisons and Bayesian t-tests in the browser. It does not run panel models, instrumental variables, time-series models such as ARIMA or VAR, or difference-in-differences. Use Stata, R or Python for those, and bring the results back for the write-up.

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