Machina Sports vs JevModel

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 JevModel
Detail	Machina Sports	JevModel
What it does	Platform to build and run sports AI agents powered by your data	Structured AI decisions via API and playground
Stage	Not given	Not given
Founded	2023	Not given
Based in	US	Not given
Pricing model	Freemium	Not given
Pricing	Free 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: 5 successful runs per UTC day after email verification. Starter: $9.90/month for 30M tokens/month. Builder: $19.90/month for 80M tokens/month. Pro: $39.90/month for 200M tokens/month. Scale: $79.90/month for 500M tokens/month. Tokens refresh monthly and do not roll over. One-time token packs a
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	Choice decision type: select from supplied options Score decision type: assign level on defined scale Noul decision type: yes/no judgment against criterion Decision flows: chain questions on canvas with branching Batch processing for CSV, TXT, JSONL files up to 1,000 rows Shared account balance across console, batch and API Export results as CSV or JSONL Failed requests are refunded Probabilities included with all answers
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	One API and console for playground, flows, batch and API access Only questions on the executed path in flows are billed Built on TypeSafe AI's Jev structured decision model Test and measure decisions on your own data before production Custom decision criteria defined by your own labels and rules
Community votes	0	0
DR (Domain Rating by Ahrefs)	28 no change since last check	27 no change since last check
Trust Flow (Majestic)	9	9
Citation Flow (Majestic)	31	27
Referring domains (Majestic)	162	79

4 details filled in for both companies.

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