{"slug":"agent-pocket-network-v1-text-embeddings-b5595c","title":"Open-weight text embeddings at a fixed model and precision","host":"agent.pocket.network","method":"POST","resource":"https://agent.pocket.network/v1/text-embeddings","category":"other","description":"Open-weight text embeddings at a fixed model and precision: deterministic vectors for RAG and memory pipelines, identical across suppliers. POST /v1/text with {inputs} (a string or array of strings) and get the embedding vectors as one JSON object. Pay per request in USDC; no account, no API key.","price_listed":0.005,"price_asked":0.005,"state":"answering","state_label":"Answering","checks_7d":1,"answered_7d":1,"latency_ms_median":904,"reported_calls_30d":5,"reported_payers_30d":2,"networks":["eip155:8453"],"badge":"unverified","paid_checks_7d":0,"paid_ok_7d":0,"example_input":{"body":{"inputs":"hello world"},"bodyType":"json","method":"POST","type":"http"},"output_schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"additionalProperties":false,"properties":{"body":{"description":"Text to embed.","properties":{"inputs":{"description":"A single string or an array of strings to embed.","items":{"type":"string"},"type":["string","array"]}},"required":["inputs"],"type":"object"},"bodyType":{"enum":["json","form-data","text"],"type":"string"},"method":{"enum":["POST","PUT","PATCH"],"type":"string"},"type":{"const":"http","type":"string"}},"required":["type","method","bodyType","body"],"type":"object"},"output":{"properties":{"example":{"properties":{"data":{"description":"For POST /v1/text, a JSON object with an `embeddings` array of fixed-length vectors. The exact shape is the service's own and is not pinned here; errors return a JSON object with an `error` field, and the GET routes return their own small JSON documents.","type":"object"},"portal":{"properties":{"provenance":{"const":"third-party-supplier"},"schemaCheck":{"enum":["passed","undeclared","unchecked"]},"serviceId":{"const":"text-embeddings"}},"required":["provenance","serviceId","schemaCheck"],"type":"object"}},"required":["portal","data"],"type":"object"},"type":{"type":"string"}},"required":["type"],"type":"object"}},"required":["input"],"type":"object"},"history":[{"day":"2026-09-24","reachable":true,"status":402,"valid_402":true,"asked_usdc":0.005,"price_match":true,"latency_ms":904,"error":null}],"description_full":"Open-weight text embeddings at a fixed model and precision: deterministic vectors for RAG and memory pipelines, identical across suppliers. POST /v1/text with {inputs} (a string or array of strings) and get the embedding vectors as one JSON object. Pay per request in USDC; no account, no API key.","last_updated":"2026-09-24T14:03:20.312Z","schemes":["exact"]}