Retrieve Polymarket prediction market prices, orderbooks, and history via Python.
npx skills add https://github.com/superfhp/lumi-agent --skill polymarket-superfhp
Please help me install this Agent Skill. Skill: polymarket Source: https://github.com/superfhp/lumi-agent/tree/main/skills/research/polymarket Command: npx skills add https://github.com/superfhp/lumi-agent --skill polymarket-superfhp
This Skill provides an easy way to access and query Polymarket prediction market data, enabling users to quickly get market prices, orderbook data, and price history.
Query the odds of an event by using the 'polymarket' skill followed by the event name.
High-intent search queries and answers about installing and using this skill.
To get prediction market odds and price history from Polymarket, you can query specific event names to retrieve current market prices, orderbook data, and historical price movements for analysis.
Yes, you can retrieve orderbook data for prediction markets using Python by executing API requests and parsing JSON responses to access real-time Polymarket orderbook details and market prices.
The best way to track prediction market movements for analysis is by querying market data endpoints to extract price history and current odds, enabling informed decision-making through real-time observation of market fluctuations.
Yes, you need Python to access Polymarket data and parse JSON responses, because the API interaction and data parsing logic rely on Python scripts utilizing the requests and json libraries.
When querying event odds, the available prediction market data includes current market prices, historical price trends, and orderbook data, which are retrieved by searching for specific event names.
Using a dedicated script for prediction market data instead of manual browsing allows you to quickly automate API requests and JSON parsing, yielding structured real-time market prices and history for analysis.
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