Generate text embeddings and semantic embedding vectors using OpenAI text-embedding-3-small for vector search, semantic similarity, clustering, retrieval, and RAG workflows.
# 1. Ask the endpoint what it costs (no payment, no wallet needed): curl -i -X GET 'https://scopeapi.dev/embeddings' # -> HTTP/1.1 402 Payment Required # the response carries the price, asset and pay-to address. # 2. Pay and retry with any x402 client: npx x402-fetch 'https://scopeapi.dev/embeddings'
Endpoint: https://scopeapi.dev/embeddings. Operated by scopeapi.dev, not by Animica. Price and availability were correct at the last probe on 2026-10-01 and are set by the operator, who may change them.
Research a company and return company intelligence using current public sources. Covers business facts, products, competitors, competitor analysis, recent devel…
Compare two companies, products, services, technologies, tools, topics, or other options side by side using current research. Returns an evidence-backed compari…
Research current news, latest news, and recent developments using public sources. Returns a sourced news timeline, key facts, uncertainty, disagreements, citati…
Perform deep web research on any topic using multiple current sources. Returns a detailed research report with citations, source URLs, evidence, conflicting inf…
Research and analyze a website or business website using public web evidence. Returns website analysis covering offerings, positioning, pricing, trust signals, …