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v0.0.1 — initial public release

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@espinetandreu espinetandreu released this 30 Jun 09:55
v0.0.1
a4bee4c

v0.0.1 — initial public release

First public release of the Parsimony stack: one open-source Python layer that lets you (and your
AI agent) find, fetch, and trust macro and financial data across more than 20 providers.

What's here

  • Find it. A searchable catalog over thousands of series, codes, and descriptions, so you locate
    the right data instead of reading a provider's PDF docs.
  • Fetch it, typed. One idiom across every provider. Each fetch returns a typed Result carrying
    its provenance (source, params, fetch time), with failures surfaced as a typed error taxonomy.
  • Completely. Fetches are guarded against the silent-truncation traps these APIs hide (an HTTP
    200 with an incomplete series, hard row caps), so you are not working on a fraction of the data
    without knowing it.
  • From your coding agent. Drop in one skill file (npx skills add ockham-sh/parsimony) and an
    off-the-shelf agent can drive the library. No MCP server.

Install

pip install parsimony-core        # the import is `parsimony`

Honest scope. All connectors are first-party today; community connectors are an invitation, not
yet a fact (see the pinned "good first connector" issue). The core Result carries one-hop fetch
provenance; full transformation lineage lives in parsimony-agents. Apache-2.0.

Note: 0.0.1 is a deliberate "early and evolving" starting point. The API may still move before
1.0; pin a version if you need stability.

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