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polymarket-sync-events

Synchronize active Polymarket sports events into documents with vector embeddings.

4|Updated Jan 9, 2025
Search Tags:#data synchronization#vector embeddings#polymarket#prediction markets#sports events
One-click install
npx skills add https://github.com/machina-sports/machina-templates --skill polymarket-sync-events
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: polymarket-sync-events
Source: https://github.com/machina-sports/machina-templates/tree/main/connectors/polymarket/skills/sync-events
Command: npx skills add https://github.com/machina-sports/machina-templates --skill polymarket-sync-events

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires polymarket, machina-ai, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of syncing sports events from Polymarket, allowing for seamless integration and analysis of prediction market data.

Core Features & Use Cases

  • Event Synchronization: Fetches active sports events from Polymarket Gamma API.
  • Data Mapping: Maps events to documents with vector embeddings.
  • Use Case: For a sports analytics platform, quickly access and analyze the latest sports events and associated prediction markets.

Quick Start

Sync sports events from Polymarket using the 'polymarket-sync-events' workflow.

Frequently Asked Questions about polymarket-sync-events

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I synchronize Polymarket sports events for data analysis?▼

You need access to the Polymarket Gamma API and Machina AI embeddings to run the synchronization workflow. The process fetches active sports events from Polymarket and maps them into documents with vector embeddings for analysis.

What is the best way to fetch active sports events from Polymarket prediction markets?▼

Using a targeted synchronization script is the best way to fetch active sports events from Polymarket prediction markets. It connects directly to the Polymarket Gamma API and structures the retrieved data with vector embeddings.

Do I need Machina AI embeddings to map Polymarket data into a document collection?▼

Yes, Machina AI embeddings are required. The synchronization workflow depends on Machina AI to generate vector embeddings that map fetched Polymarket sports events into a structured document collection.

Can I integrate Polymarket prediction market data into my sports analytics platform?▼

Yes, you can integrate Polymarket prediction market data into a sports analytics platform. The synchronization workflow fetches active sports events and maps them into documents with vector embeddings for analysis.

Why use vector embeddings for Polymarket sports event synchronization?▼

Vector embeddings map Polymarket sports events into a document collection, transforming raw prediction market data into a structured format. This enables advanced semantic search and deeper sports analytics capabilities.

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