xrtm-data v0.7.0
The Snapshot Vault for XRTM.
xrtm-data provides the schemas, question sources, and temporal sandboxing for the XRTM forecasting ecosystem.
Installation
pip install xrtm-data
Schemas
ForecastQuestion— Standardized forecast question inputForecastOutput(aliasForecastResult) — Forecast result with probability, reasoning trace, causal graphCausalNode/CausalEdge/CausalGraph— Reasoning chain DAGBetaPrior/PriorState— Beta distribution for belief statesTradeEvent/TradeWindow— Market trade data with temporal integrity
Question Sources
| Source | API Key | Description |
|---|---|---|
| real-binary | None | 21 embedded historical binary questions (CI fixture) |
| Polymarket | None (public) | Live prediction market data via Gamma API |
| Metaculus | Free account | Forecasting questions from Metaculus |
from xrtm.data.corpora import load_real_binary_questions
from xrtm.data.providers.online import PolymarketSource, MetaculusSource
# Built-in corpus
questions = load_real_binary_questions(limit=5)
# Live prediction markets (no API key)
poly = PolymarketSource()
markets = await poly.fetch_questions(limit=10)
# Metaculus (needs METACULUS_API_KEY)
meta = MetaculusSource()
meta_qs = await meta.fetch_questions(limit=10)
License
Apache 2.0
Metadata
Release files for xrtm-data 0.7.4
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| xrtm_data-0.7.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 96.0 kB
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