AGISHub Text Embedding API is a paid API for AI agents from api.agishub.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Converts input text into a numeric embedding vector suitable for semantic search, retrieval-augmented generation (RAG), and similarity comparison, with multilingual support.
Turn text into a numeric embedding vector for semantic search, RAG and similarity. Multilingual.
Returns a JSON object containing the embedding result — a numeric vector representation of the input text, usable for cosine similarity, nearest-neighbor search, and RAG retrieval pipelines. The response includes the embedded representation under the 'result' key.
GEThttps://api.agishub.com/v1/embedChoose this endpoint when you need a simple, pay-per-call multilingual text embedding with no API key setup, particularly well-suited for agents that need on-demand vectorization without managing embedding model infrastructure. Ideal for RAG pipelines, semantic search, and similarity tasks where cost predictability ($0.01/call) matters.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| outputrequired | object |
{
"type": "json",
"example": {
"result": "Turn text into a numeric embedding vector for semantic search, RAG and similarity. Multilingual."
}
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