Building a Semantic Layer over Brazil’s Official Economic Data

说明与用途

构建了巴西官方经济数据的语义层，统一了不同的 API 并保留了经济含义和来源信息，使 AI 代理能够准确检索结果。

问题

Using Brazil’s official economic data programmatically is hard because each source exposes data differently and semantic meaning is lost when normalizing APIs.

结果

Open Economics unifies disparate Brazilian economic data sources, preserves semantic meaning and provenance, and enables AI agents to retrieve accurate, machine-readable results.

工作流

• 1. Define semantic resolution to map user query to economic concept (e.g., "current Selic target rate" → "selic-target").
• 2. Identify available official datasets that represent the concept (e.g., BCB series bcb-sgs:432).
• 3. Retrieve metadata and provenance (institution, dataset ID, unit, frequency).
• 4. Fetch observations via REST or MCP.
• 5. Return structuredContent plus bounded textual representation for AI agents.
• 6. Agents use only Open Economics to answer queries.
• 7. Validate interoperability by testing with Cline agent.

证据

The hardest problem was preserving economic meaning.

来源

The remote MCP server currently exposes 19 tools.

来源