Tool detail
SCOPE Research API
Generates OpenAI text-embedding-3-small vectors for one string or a batch of up to 16 strings, for semantic search, similarity, clustering or RAG.
Categories: Text processing
Use when
- generate embeddings for semantic search or RAG
- batch-embed up to 16 text strings
- compute similarity between pieces of text
Not for
- not text generation or chat completions
- not more than 16 strings per call
Inputs
POST JSON body: { input: string, or array of up to 16 strings } (required)
Inputs undocumented: unsupported schema construct: oneOf
Endpoint
- Method
POST- URL
https://scopeapi.dev/embeddings
Payment
- Protocol
- x402
- Listed price
- 0.003 USDC per call on Base or Solana
- Payment method
- exact
- Network
- eip155:8453
- Asset
- 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Listed terms are catalog metadata. The caller supplies inputs and calls the tool outside Onelayer. If payment is required, the caller uses a compatible wallet to pay.
Source
- Directory
- Coinbase x402 Bazaar
- Record
- POST https://scopeapi.dev/embeddings
- Retrieved
- 2026-09-30T20:37:07.382Z
- Catalog file SHA-256
6837ccddf886f0007cf3727ea9d27faaa5047b51b4f425345c554ce1c271a524- Catalog built
- 2026-09-30T22:31:58.034Z