Asia Trade Flow Intelligence - Bilateral Trade Analytics
Pricing
$180.00 / 1,000 bilateral trade analyses
Asia Trade Flow Intelligence - Bilateral Trade Analytics
Aggregate UN Comtrade, World Bank, and GDELT news data for any country's bilateral trade flows. Returns trade volumes, top partners, export/import analysis, and news sentiment. Public domain + CC-BY sources only.
Pricing
$180.00 / 1,000 bilateral trade analyses
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Developer
daehwan kim
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3 days ago
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Asia Trade Flow Intelligence
Real-time aggregation of bilateral trade data from 3 authoritative international sources with trade risk scoring.
Purpose
This Actor analyzes trade flows between Asia-Pacific countries by combining official trade statistics and news sentiment:
- UN Comtrade - Official bilateral trade statistics (HS commodity codes, $USD value)
- World Bank - Country export volumes and economic indicators
- GDELT Project - Trade-related news volume (geopolitical sentiment indicator)
Produces a composite Trade Risk Score (0-100) combining data source availability and diversity.
Input
Required
- reporterCountry (string) — Two-letter ISO country code of exporting country (e.g.,
SG,KR,US)
Optional
- partnerCountry (string) — Two-letter ISO country code of importing country. If omitted, returns all partners.
- hsCode (string) — Harmonized System 6-digit commodity code (e.g.,
8542semiconductors,8703automobiles). If omitted, returns all commodities. - year (number, default: 2022) — Reference year for trade data (2018-2024).
Output
{"query": {"reporterCountry": "SG","partnerCountry": null,"hsCode": "8542","year": 2023},"comtrade": {"totalTradeValueUsd": 45678900,"topPartners": [{ "country": "US", "valueUsd": 12345678 },{ "country": "CN", "valueUsd": 9876543 }],"topCommodities": [{ "hsCode": "8542", "valueUsd": 45678900 }]},"worldBank": {"exportsValueUsd": 567890000,"lastUpdated": "2022"},"gdelt": {"totalTradeNewsArticles": 147,"topDomains": [{ "domain": "reuters.com", "articles": 12 },{ "domain": "bloomberg.com", "articles": 8 }],"latestArticles": [{"title": "Singapore exports surge on semiconductor demand","url": "https://example.com/article","domain": "reuters.com","date": "20260408T120000Z"}]},"tradeRiskScore": 35,"dataAvailability": {"comtrade": true,"worldBank": true,"gdelt": true},"sources": [...],"disclaimer": "...","timestamp": "2024-04-08T15:30:00Z"}
Examples
Singapore Semiconductor Exports (2023)
{"reporterCountry": "SG","hsCode": "8542","year": 2023}
South Korea to US (All Commodities)
{"reporterCountry": "KR","partnerCountry": "US","year": 2023}
All Singapore Exports (All Partners, All Products)
{"reporterCountry": "SG","year": 2023}
Data Coverage
| Country | UN Comtrade | World Bank | GDELT News |
|---|---|---|---|
| Singapore | ✅ | ✅ | ✅ |
| South Korea | ✅ | ✅ | ✅ |
| United States | ✅ | ✅ | ✅ |
| China | ✅ | ✅ | ✅ |
| Japan | ✅ | ✅ | ✅ |
| Thailand | ✅ | ✅ | ✅ |
| Malaysia | ✅ | ✅ | ✅ |
| Indonesia | ✅ | ✅ | ✅ |
| Philippines | ✅ | ✅ | ✅ |
| Vietnam | ✅ | ✅ | ✅ |
| Germany | ✅ | ✅ | ✅ |
| United Kingdom | ✅ | ✅ | ✅ |
| France | ✅ | ✅ | ✅ |
| Australia | ✅ | ✅ | ✅ |
| New Zealand | ✅ | ✅ | ✅ |
| India | ✅ | ✅ | ✅ |
| Brazil | ✅ | ✅ | ✅ |
| Mexico | ✅ | ✅ | ✅ |
| Canada | ✅ | ✅ | ✅ |
Pricing
- $0.18 per trade query (Pay-per-Event model)
- Billed only when analysis completes successfully
- No charge if API fails
Trade Risk Score (0-100)
Lower scores indicate higher data availability (better/lower risk):
- 0-15: Excellent coverage (3/3 sources available)
- 16-50: Partial coverage (2/3 sources available)
- 51-100: Limited coverage (1/3 sources available)
⚠️ Legal Disclaimer
This Actor aggregates publicly available trade data from:
- UN Comtrade (CC-BY 3.0 IGO)
- The World Bank (CC-BY 4.0)
- GDELT Project (CC-BY 4.0)
NOT trade, investment, or business advice. This Actor provides historical data aggregation and news analysis only.
- Does NOT recommend trading partners, products, or market entry decisions
- Does NOT forecast future trade flows or tariff changes
- Does NOT constitute financial, legal, or customs advice
- Historical data does not predict future performance
- News volume does not imply opportunity or risk
- Users must verify data with original sources and consult professional advisors
Attribution:
- "Data source: UN Comtrade (CC BY 3.0 IGO)"
- "Data source: The World Bank (CC BY 4.0)"
- "Data source: GDELT Project (CC BY 4.0)"
Technical Details
- Runtime: Node.js 18+
- Timeout: 120 seconds per query
- Memory: ~128MB per run
- Concurrent API calls: 3 (parallel fetch)
- Data freshness: Real-time from source APIs
- Example year default: 2022 (for UN Comtrade data stability)
Support
For issues or questions, please contact the developer. Data accuracy is subject to source API availability and update frequency.
Last updated: 2026-04-08