{"name":"G0DM0D3 Research Preview API","version":"0.3.0","description":"ULTRAPLINIAN multi-model racing with Liquid Response live upgrades, context-adaptive parameter tuning, text transformation, obfuscation, and opt-in open dataset collection.","license":"AGPL-3.0","flagship":"POST /v1/ultraplinian/completions","defaults":{"stream":true,"liquid_min_delta":8,"note":"Streaming (Liquid Response) is ON by default. The first good response is served immediately via SSE, then auto-upgraded when a better model beats the current leader by liquid_min_delta score points."},"endpoints":{"POST /v1/ultraplinian/completions":"ULTRAPLINIAN: Race N models in parallel with Liquid Response (stream=true default). First good response served immediately, auto-upgrades live.","POST /v1/chat/completions":"Single-model pipeline with GODMODE + AutoTune + Parseltongue + STM","POST /v1/autotune/analyze":"Analyze message context and compute optimal LLM parameters","POST /v1/parseltongue/encode":"Obfuscate trigger words in text","POST /v1/parseltongue/detect":"Detect trigger words in text","POST /v1/transform":"Apply semantic transformation modules to text","POST /v1/feedback":"Submit quality feedback for the EMA learning loop","GET  /v1/dataset/stats":"Dataset collection statistics","GET  /v1/dataset/export":"Export the open research dataset (JSON or JSONL)"},"authentication":{"openrouter_key":"Server-provided (callers do NOT need their own OpenRouter key)","api_key":"Send Authorization: Bearer <your-api-key> (if server has GODMODE_API_KEY set)"},"dataset":{"note":"Opt-in per request via contribute_to_dataset: true. No PII stored. Exportable as JSONL for HuggingFace Datasets."},"limits":{"requests_total":5,"requests_per_minute":60,"requests_per_day":1000,"note":"Research preview — each API key gets 5 total requests by default. Set RATE_LIMIT_TOTAL=0 to uncap."},"source":"https://github.com/LYS10S/G0DM0D3"}