| What it does | Flat-rate API gateway for Claude, GPT, Gemini and 100+ AI models
| Foundation model for mobile, wearables, robots, smart home, automotive and microcontrollers
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Not given
| Open source
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| Pricing | Free trial: 50 lifetime requests, no card required. Plus: $19/month (500 requests/day). Pro: $39/month (1,000 requests/day). Max: $59/month (1,500 requests/day). Ultimate: $69/month (3,000 requests/day). Ultimate Plus: $89/month (4,000 requests/day). Ultimate Pro: $99/month (6,000 requests/day). Ult
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| Key features | - Unified OpenAI-compatible API for all providers
- Access to 100+ AI models from 8 providers
- No per-token billing, flat monthly rate
- Daily request limits reset at 00:00 UTC
- Unlimited tokens per request, no per-request caps
- Crypto billing via NOWPayments
- Scoped API keys with dashboard management
- Full request history, latency metrics and usage breakdown
- Works with Cursor, Claude Code, VS Code and JetBrains IDEs
- Free trial with 50 lifetime requests, no card required
| - Tool calling with function selection and argument filling
- Structured extraction with guaranteed JSON parsing
- Text embeddings for local semantic search and matching
- Confidence scoring for routing and gating calls
- Laddered subnetwork architecture from 2 to 20 layers
- LoRA fine-tuning support for customization
- 400-4k tokens per second inference speed on Raspberry Pi 5
- Python package with pip install and Hugging Face distribution
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| What makes it different | - One key and one invoice for all AI providers instead of separate accounts and billing for each
- Flat-rate pricing with no per-token metering, identical bill on heaviest and lightest days
- Daily allowance with clean resets at 00:00 UTC, no rollover or session windows
- Lower cost than Claude Max and ChatGPT Pro with more monthly capacity
| - Beats models 10x its size on mobile tool calling benchmarks
- Matches models 2-3x larger on structured extraction tasks
- Entire model in a single 8-29 MB binary for tiny devices
- Simple Attention Network architecture uses 2x fewer MFLOPs than transformers
- Fine-tuned subnetworks outperform larger models like DeepSeek V4 Flash
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 24 ● no change since last check | 56 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 14 |
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| Citation Flow (Majestic) | 18 | 39 |
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| Referring domains (Majestic) | 52 | 1592 |
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