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Machina Sports vs Biddle

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 Biddle
DetailMachina Sports logo Machina SportsBiddle logo Biddle
What it doesPlatform to build and run sports AI agents powered by your data The AI teammate that keeps your product team on the same page
StageNot given MVP
Founded2023 Not given
Based inUS US
Pricing modelFreemium Free
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 early access. Paid plans will be a flat team price with low-cost extra seats.
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
  • Personalized daily briefings for each team member
  • Tracks decisions and links them to code changes
  • Reads GitHub pull requests, commits, reviews, CI, and issues
  • Sends nudges when code drifts from decisions
  • Connects to Linear and Notion for work tracking
  • Links Stripe and Google Analytics data with code changes
  • Every claim has a source link
  • Respects channel privacy in Slack
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
  • Maintains a shared record of decisions without manual status updates
  • Each person sees only changes relevant to their work
  • Corrected decisions update everyone's briefing in real-time
  • Designed for teams with AI agents writing most of the code
  • Proactively alerts when important decisions are at risk
Community votes00
DR (Domain Rating by Ahrefs)27 −2 (down) since last check18 no change since last check
Trust Flow (Majestic)90
Citation Flow (Majestic)314
Referring domains (Majestic)1621

6 details filled in for both companies.

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