LLM Consensus
One API call. Multiple frontier models collaborate, debate, and converge on answers that outperform any single model.
The service provides a single REST endpoint that forwards a user prompt to up to five leading large‑language models—GPT‑5.4, Claude Opus 4.6, Gemini 3.1 Pro, Mistral Large 2, and Llama 3.3 70B—and returns a unified response generated by a proprietary consensus algorithm. The workflow runs in five steps, handling model selection, domain detection, and answer merging automatically, so developers do not need to perform prompt engineering or manage multiple model APIs.
It is aimed at developers and autonomous AI agents that need higher‑accuracy outputs without integrating each model individually. The API supports both credit‑based authentication for human developers and on‑chain USDC payments for agents, offering real‑time streaming, batch processing, and transparent cost reporting. Documentation shows integration with just a few lines of code in Python, cURL, or Node.js.
The consensus approach claims non‑inferiority on expert‑domain benchmarks and a win‑rate of 44.9 % against single‑model baselines. The system is experimental, with a patent‑pending consensus technology and optional payment rails for flexible deployment.
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