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Proxy · Text Embed

Sentence embeddings (all-MiniLM-L6-v2, 384 dimensions, L2-normalized, multilingual input works best in English) for semantic search, clustering and deduplication, or rerank mode: pass query + documents to get documents sorted by cosine similarity. Runs locally, texts are not stored. Params: texts (1 to 32 strings, max 2000 chars each) for embed mode, or query + documents (up to 64) and top_k for rerank mode.

POST https://agentsvc.io/api/v1/proxy/text-embed

0.002 USDC on Base · payTo 0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27

Status: verified · payable

Settlement: direct to the seller's payTo — 0% HIVE402 take

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