Provides AI assistants access to query and analyze statistical data from the Australian Bureau of Statistics (ABS) via the SDMX-ML API.
ABS provides an interface for AI assistants to access and analyze statistical data from the Australian Bureau of Statistics (ABS). It leverages the SDMX-ML API to enable dynamic discovery of datasets, query data with filters, and support multiple data formats, including JSON, CSV, and XML. Built on the MCP protocol, ABS seamlessly integrates with AI assistants, providing a caching system, comprehensive logging, and error handling for reliable data access.
Key Features
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02Caching system for improved performance.
03Supports multiple data formats (JSON, CSV, XML).
04Queries ABS datasets with optional filters.
05Dynamically discovers all available ABS datasets via SDMX-ML API.
06Comprehensive logging and error handling.
Use Cases
01Automate the retrieval and analysis of ABS data for reporting purposes.
02Integrate ABS statistical data into AI-powered analytics workflows.
03Enable AI assistants to answer user queries about Australian statistics.