What problem does it solve?
This Skill removes the friction of collecting financial and market data by using OpenBB as a direct Python data-access layer, producing reproducible, source-tagged datasets instead of one-off ad hoc queries.
Core Features & Use Cases
- Direct OpenBB Access: Pull prices, fundamentals, macro data, news, options, crypto, ETFs, and indexes through OpenBB endpoints without relying on the OpenBB MCP server.
- Provider-Aware Retrieval: Choose the right provider for each endpoint, handle credentials safely, and preserve provenance so results stay auditable.
- Reproducible Output: Return structured CSV, JSON, or DataFrame-ready data with query parameters, row counts, missing-field notes, and data-quality warnings.
- Use Case: A research analyst can fetch historical AAPL prices, validate provider compatibility, and export a clean dataset with clear metadata for downstream modeling.
Quick Start
Use the openbb-data-fetcher skill to retrieve the requested OpenBB dataset and return it as a structured, source-tagged output with provider details and data-quality notes.