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Machina Sports vs Skillburst

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Machina Sports compared with Skillburst
DetailMachina Sports logo Machina SportsSkillburst logo Skillburst
What it doesPlatform to build and run sports AI agents powered by your data Turn your team's best AI workflows into approved skills people can use inside the assistants they already have
StageNot given Not given
Founded2023 Not given
Based inUS Not given
Pricing modelFreemium Free trial
PricingFree trial: 7 days, 100K tokens, no card required. Builder: $200 per month including 2M tokens, 1 project, 3 seats. Enterprise: custom pricing scoped with the team for customer-facing production. Free during public pilot. Paid plans not yet available.
Key features
  • Factory: Turn brief into sports app or agent preview
  • Studio: Manage projects, agents, workflows, activity, and usage
  • Arena: Evaluate agents, workflows, and model configurations
  • AI Router: Route model requests through configured providers and profiles
  • Workflow governance with approval modes
  • Connect multiple data sources including live sports feeds and CRM data
  • SDK and published APIs for integration
  • Output record and audit trail
  • Sports-native agent with entity model
  • No betting advice or wagering guidance
  • Shared skill catalog with approvals and versioning
  • GitHub-backed skills and automatic releases
  • Support for Claude, ChatGPT, Cursor, Codex, and Gemini
  • Role-based access and audit-ready governance
  • Adoption measurement and rollout tracking
  • Full version history and one-click rollback
  • Skills with context files and scripts
What makes it different
  • Platform purpose-built for sports workflows, not generic agent framework
  • Built-in approval and governance for compliance and brand rules
  • Structured evaluation and comparison before deployment
  • Live sports data grounding with current match state
  • Measurable output with telemetry and audit trail
  • Non-technical teammates use skills by name without learning prompt engineering
  • GitHub as single source of truth for technical teams
  • Measure real adoption with joined, connected, and activated metrics
  • Versioning and rollback without losing history
Community votes00
DR (Domain Rating by Ahrefs)28 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)90
Citation Flow (Majestic)3119
Referring domains (Majestic)16220

5 details filled in for both companies.

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