| What it does | Platform to build and run sports AI agents powered by your data
| An AI agent with its own cloud and wallet
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| Stage | Not given
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| Founded | 2023
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| Based in | US
| US
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| Pricing model | Freemium
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| 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: $0 forever with your own API keys. Pro: $20 per month with $20 of hosted credit a month (or $240 at once on yearly, save up to 17%). Team: $18 per seat, monthly, 2 to 5 people, with $18 of shared credit per seat monthly. Compute costs about $6 per GB a month from credit, charged by the second.
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| 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
| - Real files, real commands, web access, and browser beside the chat
- Memory written to disk as plain text you can edit and delete
- Auto mode with safe judgment on your own model
- Delegate work to helper agents sharing a task list
- Chat apps: Telegram, Discord and Slack integration
- Support for MCP servers, plugins and IDE integration
- Cloud tasks that keep running after you close the app
- Services that stay online with scheduler, webhook and watcher
- Web apps with their own live link at letronna.si
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| 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
| - Runs locally with your own keys; nothing leaves your machine unless you connect a hosted model
- Starts in 7.65 ms with 84% on Harness-Bench
- Plain text memory files you can edit, not a black box
- Works with any model: OpenAI-compatible, Anthropic, Ollama, llama.cpp or hosted
- Pay only for hosted models and cloud compute, not per seat
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 27 ▼ −2 (down) since last check | 20 ▲ +2 (up) since last check |
| Trust Flow (Majestic) | 9 | 0 |
| Citation Flow (Majestic) | 31 | 0 |
| Referring domains (Majestic) | 162 | 0 |