Professional Data Platform for Modern Research & Analytics

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.

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For lecturers, researchers, graduate students, and data analysis professionals.

EcoDataDATA PLATFORMINTERNATIONALVIETNAMSURVEY DATASETSOTHERSWBWorld BankIMFADBFREDGSOMOFHQCustomsVHLSSPCIVARHSPAPIVES+

Official Data from Leading Organizations

World Bank
IMF
ADB
UN
FRED
GSO
Customs
MOF

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.

Vietnam Data Harmonization & AI Skills

Three Historical Boundary Milestones, Seven Vietnam Data Subsystems, and One-Click AI Skills

Eliminate structural breaks in Vietnam provincial panel data from 1995 to 2026, access integrated fiscal, customs, and commodity market intelligence, and equip any AI agent with specialized MCP skills.

Three Administrative Boundary Milestones from 1995 To 2026

1995–2003Resolution 22/2003/QH11

Splitting Lai Chau, Dak Lak, and Can Tho

Backcasts 1995–2003 series using empirical 2004–2006 share weights in 63-province mode; performs exact summation for merged clusters in 34-province mode while keeping Dien Bien and Lai Chau independent.

2003–2008Resolution 15/2008/QH12

Merging Ha Tay into Hanoi Capital City

Automatically detects indicators already backcasted for expanded Hanoi prior to 2008 to prevent double-counting while maintaining consistency with Vinh Phuc and Hoa Binh.

2025–2026Resolution 202/2025/QH15

Consolidating 63 Provinces into 34 Provinces and Cities

Preserves original 63-province tables and rebuilds 2000–2026 series for 34 provinces across five econometric rules, reconciled at 99.5% or higher accuracy against the 14 official provincial appendices of the National Statistics Office.

Seven Vietnam Economic Data Subsystems and Commodity Markets

National Statistics

National Statistics Office and 34-Province Statistical Appendices

28 provincial statistical tables and 14 official statistical appendices under the 34-province boundary structure.

State Budget

Ministry of Finance State Budget Revenue and Expenditure

State budget outturn and estimate series from 1995 to 2026 for both 63-province and 34-province modes.

Socio-Economic

Periodic Socio-Economic Statistical Reports

Monthly, quarterly, and annual indicators from 2000 to 2026 covering GRDP, CPI, IIP, investment, and retail sales.

Vietnam Customs

Vietnam Customs Statistics Across 11 Official Forms

Trade value, volume, and unit price across commodities, partner markets, transport modes, and provinces.

Governance Indices

Provincial Governance Survey Indices

Longitudinal provincial panel indices including PCI, PGI, PAPI, PII, ICT Index, PAR Index, and SIPAS.

Commodity Market

Five-Sector Commodity Market Intelligence

Energy, metals, agriculture, aquaculture and livestock, and industrial materials across five analytical dimensions.

34-Province Series

34-Province Historical Panel Rebuild Engine

2000–2026 provincial series standardized across five aggregation rules with collapsible source footnotes.

Global Regions

Eight Global Focus Economic Regions

Vietnam, United States, China, India, Europe, East Asia, ASEAN, and Americas, Middle East, and Oceania.

Specialized Skills Pack for AI Agents and Gemini Task

Download standardized skill files so Gemini, AntiGravity, Claude Code, Codex, and Cursor can harness all 37 EcoData MCP tools with zero configuration friction.

Gemini Task & Gemini Gems

gemini-ecodata-mcp-skill.md

Knowledge file for Gemini Gems and Gemini Task attachments to invoke all 37 MCP tools and query 34-province series.

Download Skill

AntiGravity CLI & IDE

antigravity-ecodata-skill.md

Progressive Disclosure skill for Google AntiGravity IDE and CLI automating macro, corporate, and Jev workflows.

Download Skill

Claude Code & Desktop

claude-code-ecodata-skill.md

Specialized skill for Claude Code CLI and Claude Projects with 1995–2026 boundary harmonization rules.

Download Skill

OpenAI Codex CLI

codex-ecodata-skill.md

Skill specification for OpenAI Codex CLI and autonomous coding agents for panel econometric modeling.

Download Skill

Cursor & Windsurf IDE

cursor-ecodata-rules.mdc

Context rule file that activates automatically in Cursor and Windsurf IDE for Vietnamese economic research.

Download Skill
Integrated AI Ecosystem

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.

Pipeline Runtime
end-to-end
01

Raw Data

INPUT

GSO, Customs, WB, IMF, Corporate financials

02

Econometrics Pipeline

105 MODELS

105 models · 12 analysis families · Python/R/Stata

03

MCP Server

37 TOOLS

37 specialized tools · Standard MCP protocol

04

Jev Co-Processor

SYSTEM ONE

TypeSafe 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.

105 Models12 Families3 Runtimes

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.

37 Tools6 Groups4+ AI Clients

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.

Zero-downtimeLRU Key PoolRealtime Monitoring
EcoData Retrieval Toolkit

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.

DataflowsGlobal DataGSO Vietnam DataCustoms Vietnam DataVietnam Stock Market

Excel

Office Add-in

Office.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

1

Create a copy-once API key from the API Access dashboard.

2

Search codelists and dataflows without downloading large registries.

3

Pull the same SDMX series into Excel, Python, Stata, or R for reproducible analysis.

Integrated Econometric 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.

105 Models12 Analysis FamiliesPython · R · Stata
1
Step 1

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
2
Step 2

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
3
Step 3

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

APA 7thChicago 8thHarvard 2008IEEE 2008MLA 7th
4
Step 4

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

StataRPython
Pricing

Choose Your Access Plan

Flexible plans for your research and analysis needs — from individual to professional

BASIC

Monthly Access

$10/ 1 month
  • Full Data Export
  • 10 Exports / Day
  • SDMX API Access
STANDARD

6-Month Access

$60/ 6 months
  • Full Data Export
  • 25 Exports / Day
  • Survey Datasets & SDMX API
  • AI Chat & MCP Access
Most Popular
RECOMMENDED

Annual Access

$100/ 12 months
  • Full Data Export
  • 60 Exports / Day
  • Survey Datasets & SDMX API
  • AI Chat & MCP Access
  • Econometrics Pipeline
  • Jev Co-Processor
Best Value
PREMIUM

Lifetime Access

$200

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.

Frequently Asked Questions

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.

EcoData preserves all original 63-province tables intact while providing the harmonized 34-province panel from 2000 to 2026 using five mathematical aggregation rules: direct summation for volume variables, weighted averages for ratios, constant-price scale growth recalculation, weighted index chaining, and non-aggregable flags for qualitative rankings. For the 1995–2003 splits of Lai Chau, Dak Lak, and Can Tho and the 2003–2008 merger of Ha Tay into Hanoi, the system automatically backcasts or deduplicates observations with at least 99.5% reconciliation accuracy against the 14 official provincial appendices of the National Statistics Office.

The platform integrates seven official subsystems: National Statistics Office 28 tables and 14 provincial statistical appendices for 34 provinces, Ministry of Finance State Budget 1995–2026, periodic Socio-Economic Reports, 11 Vietnam Customs forms, Provincial Governance Survey Indices, Strategic Commodity Markets across five sectors and five analytical dimensions, and the 34-Province Historical Panel Engine with collapsible primary data source footnotes.

Visit the AI Assistant Integration section on the Quick Start page or the AI Integration Hub at /account/connect-apps to download five specialized skill files with one click: gemini-ecodata-mcp-skill.md for Gemini Gems and Gemini Task, antigravity-ecodata-skill.md for AntiGravity, claude-code-ecodata-skill.md for Claude Code, codex-ecodata-skill.md for OpenAI Codex, and cursor-ecodata-rules.mdc for Cursor IDE.

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