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Machina Sports

Official

@machina-sports · United States of America

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23Public Repos
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21Published Skills

Offers specialized data ingestion, prediction market synchronization, and content generation for real-time sports analytics and event intelligence.

Skills Distribution
DomainBusiness, Fi...Prediction Market .. (40%)Sports Data Engine.. (30%)Content Generation (30%)

Agent Skills by Machina Sports

Showing 21 vetted skills indexed across 3 GitHub repositories.

machina-sportsmachina-sports
4

mkn-constructor

Construct, validate, and deploy Machina agent-templates and connectors via YAML and MCP.

Official
Advanced
machina-sportsmachina-sports
4

polymarket-sync-events

Synchronize active Polymarket sports events into documents with vector embeddings.

Official
Intermediate
machina-sportsmachina-sports
4

polymarket-sync-series

Fetch and map sports leagues from Polymarket Gamma API into Machina documents with vector embeddings.

Official
Intermediate
machina-sportsmachina-sports
4

polymarket-sync-markets

Synchronize Polymarket sports prediction markets into Machina documents with filtering.

Official
Intermediate
machina-sportsmachina-sports
4

match-stats-formatter

Convert JSON sports match statistics into human-readable chat summaries.

Official
Intermediate
machina-sportsmachina-sports
4

post-match-tweet-thread

Generate a 5-tweet thread from match facts JSON for Brazilian Portuguese Twitter.

Official
Intermediate
machina-sportsmachina-sports
4

press-conference-extractor

Extract topics, quotes, and sentiment scores from press conference transcripts.

Official
Intermediate
machina-sportsmachina-sports
4

match-headline-generator

Generate sports match headlines from structured match data.

Official
Intermediate
machina-sportsmachina-sports
4

news-monitor-storylines

Monitor news articles for an entity and cluster them into storylines.

Official
Intermediate
machina-sportsmachina-sports
4

manifest-generator

Generate draft project manifests for Machina templates by scanning workflows.

Official
Advanced
machina-sportsmachina-sports
4

world-cup-intelligence

Aggregate market data and index social sentiment for FIFA World Cup 2026 matches.

Official
Advanced
machina-sportsmachina-sports
2

machina-installer

Deploy agents, workflows, and connectors from machina-templates into a Machina Cloud pod.

Official
Intermediate
machina-sportsmachina-sports
2

machina-secrets

Manage and configure secure vault credentials for third-party API keys.

Official
Intermediate
machina-sportsmachina-sports
2

machina-sports

Access real-time sports data, odds, and player statistics via the Machina Sports platform.

Official
Intermediate
machina-sportsmachina-sports
2

machina-constructor

Scaffold, validate, and deploy Machina agent-templates and connectors via MCP.

Official
Advanced
machina-sportsmachina-sports
2

pdf

Extract text and structured data from PDF documents using pypdf and pdfplumber.

Official
Intermediate
machina-sportsmachina-sports
202

kalshi

Query Kalshi prediction market data for events, series, markets, trades, and candlestick history.

Official
Intermediate
machina-sportsmachina-sports
202

polymarket

Retrieves live odds, prices, order books, and event details from Polymarket's CLOB API.

Official
Intermediate
machina-sportsmachina-sports
202

sports-news

Sports news aggregator for trending updates and RSS feeds.

Official
Intermediate
machina-sportsmachina-sports
202

football-data

Retrieve football data across 13 leagues via Python SDK and CLI.

Official
Intermediate
machina-sportsmachina-sports
202

fastf1

Provides weather and air quality data for locations in the United States and Canada.

Official
Intermediate

Frequently Asked Questions About Machina Sports

FAQPage Schema
What specific tasks can I perform with these capabilities?

You can ingest real-time prediction market data from Kalshi and Polymarket, synchronize sports event series into vector databases, extract structured data from PDF reports, and generate automated match summaries or social media threads from raw statistics.

Which personas benefit most from these technical resources?

These resources are designed for sports data analysts, quantitative researchers, and content engineers who require programmatic access to betting market odds, match statistics, and automated narrative generation for sports media.

What are the prerequisites for deploying these connectors?

Deployment requires a Machina Cloud environment and valid credentials managed through the secure vault system. Users must configure YAML-based templates and ensure connectivity to the specific third-party endpoints for sports data and prediction market exchanges.