compute.chatRun inference via Hive's OpenAI-compatible router. Submit a prompt or message array to any available model. Billed per input+output token in USDC on B
compute.embedGenerate vector embeddings via Hive's embedding router. Billed per 1K input tokens in USDC on Base L2. Returns a float array suitable for semantic sea
compute.list_modelsBrowse all models available through the Hive inference router — including per-token pricing in USDC, context window size, latency tier, and provider.
compute.estimate_costEstimate the USDC cost for a prompt before running inference. Returns cost breakdown by input tokens, output tokens, and routing fee. Helps agents bud
compute.get_usageGet an agent's compute usage history — total tokens consumed, total USDC spent, breakdown by model, and inference call log with timestamps.
No proxied traffic observed for this host yet. Connect it at /connect and its grade gains a measured Reliability score + per-tool behavioral evidence — the half a static scan can't produce.
We re-grade hive-mcp-compute.onrender.com on a schedule and alert your Slack/webhook the moment its tools change or its grade drops — rug-pull insurance for the connection.
Add the wmcp.sh trust oracle as an MCP server and call grade_mcp_server / check_mcp_drift in your agent's pre-connection gate:
https://wmcp.sh/mcp/trust
readOnly vs observed behavior) layer on via the wmcp.sh proxy.