evezstation

# ⚡ EVEZ Station — Universal AI Workstation **Self-training AI engine with 6 monetizable APIs.** Connectable by any AI system on earth. ## 🔌 Protocols - **OpenAPI 3.1** — `/.well-known/openapi.json` - **ChatGPT Actions** — `/.well-known/ai-plugin.json` - **MCP Compatible** — `/api/mcp/tools` + `/api/mcp/execute` - **REST API** — Standard JSON endpoints ## 🧠 Training Engine Every API call automatically generates training data. The platform trains on its own output. ``` API Calls → Training Pairs → Datasets → Fine-tune → Models → Inference → Better Output → More Training Data → ∞ ``` ## 🐙 Services | Service | Description | Endpoint | |---------|------------|----------| | OctoKlaw | Web intelligence extraction + NLP | `/api/extract`, `/api/analyze` | | MeshPulse | Uptime monitoring + incidents | `/api/monitors` | | QuantumSeal | Tamper-proof hashing + verification | `/api/seal`, `/api/verify` | | NexusLink | URL shortening + analytics | `/api/links` | | SpectrumScan | Security header scanning | `/api/scan`, `/api/compare` | | VortexQ | Async job queues + webhooks | `/api/jobs` | ## 🏋️ Training Endpoints | Endpoint | Description | |----------|------------| | `GET /api/train/stats` | Training data statistics | | `POST /api/train/datasets` | Create curated dataset | | `GET /api/train/datasets/:id/export` | Export in JSONL/Alpaca/ShareGPT/OpenAI format | | `POST /api/train/forges` | Create automated training pipeline | | `POST /api/train/finetune` | Submit fine-tune job | | `POST /api/train/models` | Register trained model | | `POST /api/inference/:model_id` | Run inference | ## 🚀 Quick Start ```bash # Get an API key curl -X POST https://your-domain/api/keys -H "Content-Type: application/json" -d '{"name": "my-app"}' # Extract web content curl -X POST https://your-domain/api/extract -H "x-api-key: YOUR_KEY" -H "Content-Type: application/json" -d '{"url": "https://example.com"}' # View training stats curl https://your-domain/api/train/stats -H "x-api-key: YOUR_KEY" ``` ## 🔧 Deploy ```bash docker build -t evezstation . docker run -p 3000:3000 -e SUPABASE_URL=... -e SUPABASE_SERVICE_KEY=... evezstation ``` ## AI Connection Any AI with web browsing can: 1. Visit the homepage to see services 2. Read `/.well-known/openapi.json` for full API spec 3. Use `/api/mcp/tools` for MCP-compatible tool listing 4. Generate a key via `POST /api/keys` 5. Use any service Built by [@EvezArt](https://github.com/EvezArt) — Infinite Mesh --- ## ⚡ OpenClaw Surface This project now exposes/links into the EVEZ OpenClaw stack. - Main deploy repo: https://github.com/EvezArt/evez-openclaw-deploy - Android/A16 app: https://github.com/EvezArt/evez-openclaw-apk - Local dashboard: `http://localhost:18789` - Termux bootstrap: `scripts/a16-termux-bootstrap.sh` in the deploy repo Run the OpenClaw gateway once, then point this surface at the same gateway URL so EVEZ Station, VCL, NEXUS, ClawBreak, Telegram, Slack, PWA, and Android all hit the same brain.