Clean, Standardized Data — Ready for Research & International Publication
EcoData aggregates macroeconomic indicators from official sources such as WB, IMF, ADB, UN and FRED, alongside Vietnam's in-depth data: the General Statistics Office, the General Department of Customs, survey datasets (PAPI, PCI, PAR, SIPAS, ICT) and microdata (VHLSS, VARHS, VES). All data is cleaned, standardized and continuously updated — ready for analysis, teaching and publication.
For lecturers, researchers, graduate students, and data analysis professionals.
Official data from leading organizations
Why Choose EcoData?
Rich, official data ready for research and international publication
Ready for International Publication
Data is cleaned, standardized and quality-controlled, ready to feed directly into analysis and publication (ready-to-publication).
Macro Indicators from Global Sources
Comprehensive macroeconomic indicators from official sources: World Bank, IMF, ADB, UN and FRED.
Official Vietnam Data
General Statistics Office (Statistical Yearbook, Socio-economic Reports), General Department of Customs (import-export reports and data by commodity) and the Ministry of Finance.
Survey & Microdata Sets
PAPI, PCI, PAR, SIPAS and ICT surveys plus VHLSS, VARHS and VES microdata for in-depth research.
Comprehensive Securities Data
Quarterly/annual financial reports, detailed trading history and listed company event calendars.
Rich & Continuously Updated
A broad, multi-domain data repository updated regularly to meet academic and professional analysis needs.
Smart AI Assistant
Integrated chatbot for indicator aggregation requests, file export and quick downloads.
Flexible API & Integration
API support for connecting with dashboards, analysis workflows and your own research systems.
From Raw Data to Deep Analysis — Fully Automated
EcoData builds a seamless ecosystem: input data is processed through the Econometrics Pipeline, distributed via MCP Server and accelerated by Jev Co-Processor — making your research accurate, fast and reproducible.
Raw Data
GSO, Customs, WB, IMF, Corporate financials
Econometrics Pipeline
105 models · 12 analysis families · Python/R/Stata
MCP Server
37 specialized tools · Standard MCP protocol
Jev Co-Processor
TypeSafe AI · Gemini · Claude · Cursor · AntiGravity
Raw Data
INPUTGSO, Customs, WB, IMF, Corporate financials
Econometrics Pipeline
105 MODELS105 models · 12 analysis families · Python/R/Stata
MCP Server
37 TOOLS37 specialized tools · Standard MCP protocol
Jev Co-Processor
SYSTEM ONETypeSafe AI · Gemini · Claude · Cursor · AntiGravity
Econometrics Analysis Pipeline
Triple Runtime: Python / R / Stata
1-Click full econometric research workflow: from descriptive statistics, model estimation to replication code export — all in a single command.
EcoData MCP Server
Standard Model Context Protocol
37 specialized tools compatible with Gemini Spark, Claude Desktop, Cursor IDE and AntiGravity — connecting Vietnam economic data directly to your AI assistant.
Jev Co-Processor
TypeSafe AI System One
Dedicated AI co-processor with LRU key pool rotation, real-time token cost monitoring and zero-downtime failover — ensuring every analysis is stable and cost-efficient.
Bring production EcoData directly into
Excel, Python, Stata, and R.
A single versioned SDMX API powers every client. Create a personal API key, pull real data series into your own workflow, and keep metadata and quotas visible — no manual table copying.
Excel
Office add-inOffice.js task pane and ECODATA.SERIES custom function for inserting SDMX series into worksheets.
=ECODATA.SERIES("MACRO_INTL","NY.GDP.MKTP.CD.VNM.A","2019","2023")How researchers use it
Create a copy-once API key from the API Access dashboard.
Search codelists and dataflows without downloading large registries.
Pull the same SDMX series into Excel, Python, Stata, or R for reproducible analysis.
From Raw Data to Publishable Research — in One Workflow
The Econometric Analysis tool built into EcoData lets graduate students and researchers immediately assess the practicality and feasibility of their research through an end-to-end workflow.
Data Preparation
Scope the data, select indicators, compute variables and clean before analysis.
- Filter data scope
- Select Indicators
- Compute variables
- Process & clean data
- Descriptive statistics
Analysis Models
Build, estimate and test models, with model selection and robustness checks.
- Proposed & alternative models
- Estimation & hypothesis testing
- Robustness / model selection
- Accelerated by Jev Co-Processor
Presentation & Reporting
Export results and present reports following your chosen academic style.
- Standardized tables & charts
- Formatting by citation style
- Submission / publication-ready report
Reporting styles
Export Complete Code
Generate full code from indicator selection to the final report, runnable directly in Stata, R or Python.
- Fully reproducible workflow
- Clearly annotated, step-by-step code
- Run instantly on Stata / R / Python
Export code that runs on
Choose Your Access Plan
Flexible plans for your research and analysis needs — from individual to professional
6-Month Access
6-Month
- Full data export
- 25 exports / day
- Survey datasets & SDMX API
- AI Chat & MCP access
Annual Access
Annual
- Full data export
- 60 exports / day
- Survey datasets & SDMX API
- AI Chat & MCP access
- Econometrics Pipeline
- Jev Co-Processor
Lifetime Access
Lifetime
one-time payment
- Full data export
- 100 exports / day
- Survey datasets & SDMX API
- AI Chat & MCP access
- Econometrics Pipeline
- Jev Co-Processor
- Priority technical support
- Lifetime updates
All plans include full access to international and Vietnam data. Special discounts available for students and researchers.
Common Questions Answered
Learn more about EcoData's features, data sources and how to get started
EcoData is a professional economic and financial data platform that aggregates and standardizes data from official domestic sources (GSO, Customs, Ministry of Finance) and international organizations (World Bank, IMF, ADB, UN, FRED), serving research, teaching and analysis.
Data includes: international macro indicators (WB, IMF, ADB, FRED), GSO Statistical Yearbook and socio-economic reports, customs import-export data, listed company financial reports (financial statements, notes), survey datasets (PAPI, PCI, VHLSS, VARHS) and stock market data.
EcoData MCP Server provides 37 specialized tools via the Model Context Protocol (MCP), enabling AI assistants like Gemini Spark, Claude Desktop, Cursor IDE and AntiGravity to directly access Vietnamese economic data, run analysis and export results — all through natural language.
With a single command, EcoData executes the full workflow: from descriptive statistics, model estimation (105 models across 12 analysis families), hypothesis testing, robustness checks to replication code export for Stata, R or Python — significantly reducing research time.
EcoData provides integrated clients for Python (pandas), R (tibble), Stata (ado) and Excel (Office add-in). All connect via SDMX API with a personal API key, enabling direct data retrieval into your analysis workflow.
Jev is a dedicated AI co-processor (TypeSafe AI System One) integrated into EcoData, featuring LRU key pool rotation, real-time token cost monitoring and zero-downtime failover — ensuring every AI-powered econometric analysis is stable and cost-efficient.
Sign up for a free account, explore data through the web interface, create an API key for software integration, and upgrade your access plan when you need features like AI Chat, MCP access or Econometrics Pipeline.
Yes. Data is continuously updated from official sources. International macro data syncs with WB and IMF release schedules. Vietnamese GSO, customs and stock data are updated quarterly or when new releases are available.
Absolutely. Data is cleaned, standardized and rigorously quality-controlled. Econometric reports support APA, Chicago, Harvard, IEEE and MLA citation styles — ready to be included directly in research papers for submission.
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