Pull live data from 12 official APIs. Extract tables from existing reports. Run IMF-framework analysis. Every number traces to its source.
Built for economists, consultants, and analysts who work with international databases.
Not a general-purpose chatbot. Not a search engine with a chat skin.
Three data portals. Three downloads. Clean in Excel. Build a chart. Format it. Email it. Someone asks where the numbers came from. You check your Downloads folder.
Generic chatbots skip the work but fabricate the answer. They mix up data vintages. They don’t know which source is authoritative for which indicator. And when a data point doesn’t exist, they fill the gap instead of telling you.
EconChat is different. The LLM writes the narrative. The code pulls the data and runs the math. Never the reverse.
Open 3 data portals. Download 3 CSVs. Merge in Excel. Hope the columns match.
One question. Data from IMF, World Bank, and OECD merged automatically.
20 minutes formatting a chart in PowerPoint. Screenshot it for the brief.
10 chart types. Export-ready: PDF, PNG, CSV, or Word in your MDB’s house style.
“Where did this number come from?” Dig through your Downloads folder.
Every number links to its source, API call, and data vintage.
Copy numbers from a staff report PDF into your spreadsheet. Retype what you can’t select.
Paste the URL. Tables extracted and structured automatically.
Run analysis in a shared Excel template. Hope nobody broke the formulas.
Deterministic modules. Same frameworks, computed — not approximated.
Chat with live data. Extract from existing reports. Run deterministic analysis.
Mode 1
Ask “What’s Kenya’s trade balance trend?” EconChat pulls from Comtrade, merges with WDI context, and renders a cited chart. Ask a follow-up. The conversation keeps the context.
43 tools × 12 sources. Each query routes to the authoritative dataset automatically.
Mode 2
Paste a staff report URL. EconChat scrapes the tables, parses the data, and structures it for analysis. No copy-paste. No retyping numbers from a PDF.
Works with any public URL: staff reports, press releases, working papers, statistical annexes.
Mode 3
Select a country. EconChat runs the full analytical framework — same formulas your team uses in Excel, but computed, not generated. The LLM writes the narrative. The code does the math.
Three modules: Debt Sustainability (LIC-DSF), Growth Diagnostics (HRV), Structural Change (McMillan-Rodrik).
“Compare Ghana and Kenya GDP growth 2015–2024, include debt-to-GDP.” No query syntax. No portal navigation. Just the question.
Each indicator routes to its authoritative API. GDP forecasts come from the IMF. Employment from the ILO. Trade flows from Comtrade. You don’t pick the database — EconChat already knows which one to trust.
Does every number match the raw data? Do sources agree? Did any API return empty? Is the WEO vintage cited correctly? Are the units consistent? Does the chart match the narrative? All six pass before the response reaches you.
IMF-WB LIC-DSF
Baseline projections, stress tests, risk rating. Deterministic computation of the full DSF template.
Hausmann-Rodrik-Velasco
Binding constraints analysis with peer benchmarks. 12 HRV indicators auto-fetched from WDI + WEO.
McMillan & Rodrik
Shift-share decomposition. Sector GDP and employment reallocation across agriculture, industry, services.
43
Data tools
12
API sources
10
Chart types
6
Validators
4
Export formats
3
Analysis modules
Every chart and brief exports to PDF, Word, CSV, or PNG. Choose from four institutional house styles — World Bank, IMF, AfDB, or generic — so your output matches the template your team already uses.
7 days free. Every feature. Every data source.
Cancel anytime. We’ll remind you before anything changes.