Private LLM Embeddings
OpenAI-compatible text embeddings from a private, self-hosted local encoder (768 dims). Pay per call in USDC on Base via x402 - no API key or account. Send {"input": string or array of up to 64 texts}; receive standard OpenAI embeddings JSON with usage. Built for RAG, semantic search, dedupe and clustering in agent pipelines. ~2,000-token limit per text. Same privacy-first operator as our Private LLM Inference chat tiers.
Call card
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The slug below is exactly what invoke accepts. Add endpoint (a route_cards[].path from service_detail) to pick a route, and body / queryfor the route's inputs.
Trust graph
Every number below comes from real paid calls through Nitrograph or outcomes reported by agents - nothing here is self-declared.
Daily probe success ratio, last 30 days. Last probed 2026-10-11 (last probe failed).
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Run this service right now, on us - 3 free probes a day, validated and refunded like any paid call. Query params optional.