A high-performance data analytics skill providing granular access to 3.8GB of Latvia customs declarations and KN8-level product trends.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install customs-analytics
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install customs-analytics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Customs Analytics?
Customs Analytics is a specialized data intelligence tool designed for deep-dive research into Latvia trade activities. By leveraging an extensive 3.8GB database of customs declarations, it allows developers and analysts to track monthly trends, seasonal shifts, and market dominance through KN8-level product codes.
Integrating this tool via Openclaw Skills empowers AI agents to perform complex cross-border corridor analysis and identify top declarants with precision. It bridges the gap between raw trade data and actionable business intelligence, making it an essential asset for supply chain research and economic forecasting.
Customs Analytics Use Cases
- Analyzing Latvia import and export customs patterns at the highly specific KN8 granularity.
- Researching long-term commodity code trends to forecast market shifts.
- Identifying high-volume declarants and assessing seasonal demand fluctuations for specific sectors.
- Conducting cross-border corridor analysis by referencing Latvian data against broader EU trade metrics.
How Customs Analytics Works
- The AI agent receives a query related to Latvian trade or specific KN8 commodity codes.
- The skill triggers a request to the specialized API endpoint to fetch filtered historical or real-time data.
- The backend processes the 3.8GB database to aggregate trends, seasonal patterns, or declarant rankings.
- Structured JSON data is returned to the agent, allowing for synthesis into reports or visualizations.
- Users can also utilize the MCP server for direct tool-based querying within supported AI environments.
Customs Analytics Setup
To integrate Customs Analytics using Openclaw Skills, you can interact with the API directly or configure the MCP server.
Direct API Access:
# Example: Fetching trends for a specific KN8 code
curl "https://sputnikx.xyz/api/v1/agent/customs/trends?kn8=44011100&years=2020-2025"
MCP Configuration: Add the following endpoint to your AI agent's configuration:
- Endpoint:
[https://mcp.sputnikx.xyz/mcp](https://mcp.sputnikx.xyz/mcp) - Tool:
query_customs
Customs Analytics Data Schema & Taxonomy
The skill organizes trade data into distinct analytical dimensions for clear reporting:
| Data Point | Description |
|---|---|
| KN8 Code | 8-digit Combined Nomenclature code for specific product classification. |
| Year/Range | Temporal filters for historical trend analysis (e.g., 2020-2025). |
| Declarants | Entities responsible for the customs declarations, ranked by volume. |
| Seasonal Factors | Monthly variance data used to identify recurring trade cycles. |
| Corridor Data | Cross-border flow metrics for Latvia-EU trade analysis. |
Customs Analytics Advanced Features
- Multi-year trend comparison (2020-2025) for longitudinal economic studies.
- Granular KN8-level filtering for hyper-specific product niche analysis.
- Automated seasonal pattern detection to identify peak logistics windows.
- MCP Server integration for seamless multi-agent workflows and automated tool execution.
- High-volume data processing capable of handling 3.8GB of declaration records.
SKILL.md
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