{"name":"HiveIQ","description":"AI compute orchestration with on-chain reputation, NAC-backed provider identity, and multi-provider routing. Powered by Vitreus.","url":"https://hiveiq.xyz/a2a","version":"0.5.0","provider":{"organization":"HiveIQ × Vitreus","url":"https://vitreus.io"},"capabilities":{"streaming":false,"pushNotifications":false,"stateTransitionHistory":true},"defaultInputModes":["text"],"defaultOutputModes":["text"],"skills":[{"id":"hiveiq.chat-completion","name":"HiveIQ Chat Completion","description":"Single-shot chat completion routed across the HiveIQ provider mesh. Cost-, latency-, and reputation-optimized via the on-chain marketplace.","tags":["chat","llm","routing","marketplace","code","confidential","decentralized","function_calling","gpu_inference","long_context","open_model","reasoning","streaming","tee","vision"],"examples":["Summarize the attached document in 200 words.","Translate the following paragraph into French."],"inputModes":["text"],"outputModes":["text"]},{"id":"hiveiq.multi-agent-session","name":"HiveIQ Multi-Agent Session","description":"Decompose a complex task into 2–4 specialist sub-tasks, run them across the provider mesh, and synthesize a coherent final answer via Claude. Returns a session_id for status polling.","tags":["multi-agent","orchestration","decomposition","synthesis"],"examples":["Compare two database technologies and recommend one for our use case.","Research a topic from three angles and produce a unified report."],"inputModes":["text"],"outputModes":["text","data"]}]}