Text and embedding similarity scoring: cosine match and dedupe decisions at fixed model precision. POST /v1/semantic with {text_a, text_b} and get a similarity score as one JSON ob
Text and embedding similarity scoring: cosine match and dedupe decisions at fixed model precision. POST /v1/semantic with {text_a, text_b} and get a similarity score as one JSON object. Deterministic. Pay per request in USDC; no account, no API key.
price-ascending: candidates are ordered by the listed price of the operation, with no managed-first preference applied. Unlike /v1/apis, this surface does not rank Apiosk-settled listings above federated ones — a comparison that reorders on commercial grounds is not a comparison. Pass sort=managed_first for the catalog's ordering.
| Provider | Operation | Price | Settlement | Notes |
|---|---|---|---|---|
| Pocket Network | POST /v1/semantic-similarity | $0.0050 | via Apiosk | Provider-declared input schema from the Coinbase Bazaar listing |
Compared: listed price, settlement rail and input compatibility. Not measured yet: latency, reliability, result quality, and provider terms such as rate limits, jurisdiction and licensing.