OpenAI Embeddings

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OpenAI Embeddings is a paid API for AI agents from OpenAI at openai.mpp.tempo.xyz, paid per call via MPP, $0.0001/call, status unknown (last checked 2026-10-11, last successful call 2026-05-28).

Converts text into high-dimensional vector embeddings for semantic search, clustering, and similarity tasks

Price / call$0.0001

Seller volume →—

Success100%

StatusUnknown

How this service works

Create embeddings

Output

Returns a JSON object containing a list of embedding objects, each with a dense float vector representing the input text, along with metadata including the model used and token usage statistics (prompt tokens and total tokens consumed).

Example use cases

Example prompt

“Generate an embedding vector for the text 'The quick brown fox jumps over the lazy dog' using the text-embedding-ada-002 model so I can store it in my vector database for semantic search.”

Technical details

Endpoint

POSThttps://openai.mpp.tempo.xyz/v1/embeddings?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to convert text into numerical vector representations for downstream tasks like semantic search, clustering, classification, or storing in a vector database. Ideal for RAG (Retrieval-Augmented Generation) pipelines, recommendation systems, and any workflow requiring semantic similarity computation. Prefer over alternatives when you need OpenAI's text-embedding models (e.g. text-embedding-ada-002, text-embedding-3-small, text-embedding-3-large) specifically.

Side effects

Invalid or missing input text returns a 400 error
Exceeding token limit for the chosen model returns a context-length error
Invalid model name returns a 404 or model-not-found error
Rate limiting returns a 429 too-many-requests error
Empty input array returns a validation error
Input contains unsupported data type (non-string) causes a 400 bad request

Input

{
  "input": "The quick brown fox jumps over the lazy dog",
  "model": "text-embedding-3-small",
  "voice": "alloy",
  "response_format": "json"
}

Output

{
  "_truncated": true,
  "_originalSize": 29580
}

Reviews

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Run ID: run_7f3a9c2e
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Technical details

Endpoint

POSThttps://openai.mpp.tempo.xyz/v1/embeddings?utm_source=zero.xyz

When to prefer

Side effects

Invalid or missing input text returns a 400 error
Exceeding token limit for the chosen model returns a context-length error
Invalid model name returns a 404 or model-not-found error
Rate limiting returns a 429 too-many-requests error
Empty input array returns a validation error
Input contains unsupported data type (non-string) causes a 400 bad request

Input

{
  "input": "The quick brown fox jumps over the lazy dog",
  "model": "text-embedding-3-small",
  "voice": "alloy",
  "response_format": "json"
}

Output

{
  "_truncated": true,
  "_originalSize": 29580
}