mostlyrightmd 1.1.0

Local-first Python SDK for prediction-market weather research. Calls AWC, IEM, GHCNh, and NWS CLI directly; no hosted backend. Exposes research(station, from_date, to_date) for joined observation + climate rows. Imports as `mostlyright`.

mostlyrightmd

The public data SDK for quants and AI agents.

mostlyrightmd is the Python entry point: core types, schemas, validators, temporal-safety primitives, and the research() join that ties observations × climate into one row per settlement date. Direct calls to public APIs (NOAA, NWS, IEM, GHCNh, Kalshi, Polymarket). No hosted backend, no API key.

Weather + prediction-markets data are live today. SEC filings (EDGAR) and Federal Reserve economic data (FRED) are next.

Install

pip install mostlyrightmd                # core only (helpers + snapshot primitives)
pip install 'mostlyrightmd[research]'    # core + weather; enables research()
pip install mostlyrightmd-weather        # weather data sources only (brings core transitively)

mostlyrightmd and mostlyrightmd-weather share the mostlyright.* Python namespace but ship as separate PyPI distributions, so users who only need the helpers can skip the heavier weather deps. research() lazy-imports mostlyright.weather and raises a clear error if the weather package is not installed.

Quickstart

import mostlyright

df = mostlyright.research("KNYC", "2025-01-06", "2025-01-12")
print(df.head())

Documentation

Quickstart, concepts, and the full API reference live at https://mostlyright.md/docs/sdk/.