parsimony-polymarket
Polymarket source for parsimony: prediction-market discovery and prices via the public Gamma and CLOB HTTP APIs.
Part of the parsimony-connectors monorepo. Distributed standalone on PyPI as parsimony-polymarket.
Connectors
The surface follows how a Polymarket question is actually navigated: search → event → market → price history.
| Name | Kind | Description |
|---|---|---|
polymarket_search_events |
enumerator | Natural-language search over events via Gamma /public-search (the only Polymarket endpoint that does server-side text search). Returns slug + title with markets_count and volume/liquidity/active/closed metadata. Takes query, limit (1-100), optimized. |
polymarket_event |
enumerator | The markets inside one event, by event slug. One row per market (market_slug + market_question, with outcome count and volume/liquidity/active/closed). |
polymarket_market |
enumerator | The outcomes of one market and their CLOB token ids, by market slug. One row per outcome (clob_token_id + outcome). |
polymarket_price_history |
connector | The probability time series for one outcome token_id via CLOB /prices-history. Returns a tidy timestamp × probability frame. Takes interval (max/1m/1w/1d/6h/1h) and fidelity (minutes). |
Install
pip install parsimony-polymarket
Pulls in a compatible parsimony automatically. Verify discovery:
python -c "from parsimony import discover; print([p.name for p in discover.iter_providers()])"
Configuration
No environment variables required — Polymarket's Gamma and CLOB read APIs are public. There is no API key, so this package declares no secrets and no load(*, api_key=...) convenience.
Quick start
from parsimony_polymarket import CONNECTORS
# 1. Search events by topic.
events = CONNECTORS["polymarket_search_events"](query="inflation", limit=5)
event_slug = events.raw.iloc[0]["slug"]
# 2. Drill into the event's markets.
markets = CONNECTORS["polymarket_event"](slug=event_slug)
market_slug = markets.raw.iloc[0]["market_slug"]
# 3. Get the market's outcomes and their CLOB token ids.
outcomes = CONNECTORS["polymarket_market"](slug=market_slug)
token_id = outcomes.raw.iloc[0]["clob_token_id"]
# 4. Pull that outcome's probability time series.
history = CONNECTORS["polymarket_price_history"](token_id=token_id, interval="1w")
print(history.raw.head())
For multi-plugin composition:
from parsimony import discover
connectors = discover.load_all()
Provider
- Homepage: https://polymarket.com
- Gamma API: https://gamma-api.polymarket.com
- CLOB API: https://clob.polymarket.com
License
See LICENSE.
1 maintainer
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