Text Embeddings and Rerank
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 simi
Go to this service →Our latest check (2026-10-11)
- Answering
- Yes — valid x402 payment terms
- Time to answer
- 76 ms
- Price
- $0.002 per call
- Paying buyers, last 30 days
- 3 (directory's own records)
- Paid calls, last 30 days
- 12
- Category
- Unclassified
- Address
- https://agentsvc.io/api/v1/proxy/text-embed
Accuracy
Accuracy scores are published once a seller has enough paid checks against an independent record (at least 7 scored answers over at least 7 days). Until then no score is shown, and a missing score is never a pass.
For agents
This page as JSON: /sellers/d4e008ec0cfd.json. Paid lookup by address: GET /api/seller?resource=… ($0.001, x402).