| What it does | One OpenAI-compatible API and prepaid balance for nearly 500 AI models at lower prices
| The API between AI agents and silicon
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| Stage | Not given
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| Founded | Not given
| 2023
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| Based in | Not given
| DE
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| Pricing model | Freemium
| Freemium
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| Pricing | Free models with limited throughput; paid models charged per unit (language models per 1 million input and output tokens, images per image, video per second, speech per 1,000 characters, transcription per minute). Prices vary by model with discounts up to 50% compared to official rates. Example: Dee
| Free tier: 1,000 credits per day, resets every 24 hours. Pay-as-you-do: €10 per 1,000 credits. Enterprise: Custom pricing with volume commit, on-prem, and SLAs.
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| Key features | - Nearly 500 AI models from leading publishers
- OpenAI-compatible and Anthropic-compatible API
- Text, image, video, speech and transcription models
- Per-key spending limits
- MCP server integration with Codex, Claude Code, Cursor, Gemini CLI
- Free models with limited throughput
- Per-model pricing with no platform fee
- Prepaid balance system
- AI Workspace for team collaboration and research
| - Compile firmware against production toolchains remotely without installation
- Execute firmware on virtual chip instances with verdict, trace, and register state
- Unit and integration testing on virtual hardware with coverage reports
- Inject synthetic sensor data into running firmware
- Query collective embedded corpus for chip-specific solutions
- Support for Rust, C, and multiple RTOS frameworks
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| What makes it different | - Single API key and balance for nearly 500 models with no platform fee
- Discounts up to 50% compared to official model pricing
- OpenAI and Anthropic API compatibility without changing request format
- Works directly with Claude Code, Codex, Cursor and Gemini CLI via MCP server
- No data used for model training
| - Virtual instances of actual target chips, not generic CPU emulation, with same binary, peripherals, and interrupt timing as physical boards
- Shared corpus that deepens with every call, allowing agents to inherit knowledge from previous runs
- Eliminates need for physical hardware for testing, porting, and debugging
- Single MCP endpoint exposes cross-compilation, peripheral simulation, sensor IO, and chip-specific plumbing
- Access to licensed toolchains on demand without local installation
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 31 ● no change since last check | 29 ● no change since last check |
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| Trust Flow (Majestic) | 3 | 5 |
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| Citation Flow (Majestic) | 26 | 27 |
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| Referring domains (Majestic) | 20 | 117 |
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