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Machina Sports vs Nimbalyst

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 Nimbalyst
DetailMachina Sports logo Machina SportsNimbalyst logo Nimbalyst
What it doesPlatform to build and run sports AI agents powered by your data Agent wiki and visual workspace for Claude Code, Codex and other AI coding agents
StageNot given Not given
Founded2023 Not given
Based inUS Not given
Pricing modelFreemium Freemium
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: Nimbalyst app and personal wiki. Wiki Teams: $20 per user per month or $200 per user per year (currently free during beta).
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
  • WYSIWYG markdown editor with AI-assisted editing
  • Red/green inline diffs for AI changes approval
  • Visual editors for mockups, diagrams, and drawings
  • Parallel agent session management
  • File and session linking
  • Persistent searchable session history
  • Pull request review in Developer Mode
  • MCP server support
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
  • Agents write the wiki as they work, eliminating manual documentation
  • Open source and local-first: your data stays on your machine
  • Built by Evergage founders who scaled to $250M ARR
  • One unified workspace instead of multiple disconnected tools
Community votes00
DR (Domain Rating by Ahrefs)27 −2 (down) since last check45 −5 (down) since last check
Trust Flow (Majestic)915
Citation Flow (Majestic)3140
Referring domains (Majestic)162709

5 details filled in for both companies.

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