Embeddings · openai
OpenAI Embedding Small API
Lightweight embedding model with 1536 dimensions, fast response, 5x lower cost. Ideal for latency-sensitive apps, storage-constrained scenarios, and large-scale retrieval.
Quickstart
Get an API key at skillboss.co/console, then send your first request:
cURL
curl https://api.skillboss.co/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/text-embedding-3-small",
"inputs": { /* model-specific input fields */ }
}'Pricing
Vendor List Price
See your console for billing details.
Prices shown are the vendor's published list price. SkillBoss does not mark up token costs — see pricing for billing details.
Code examples
Python
import requests
resp = requests.post(
"https://api.skillboss.co/v1/run",
headers={"Authorization": "Bearer $SKILLBOSS_API_KEY"},
json={"model": "openai/text-embedding-3-small", "inputs": { }},
)
print(resp.json())JavaScript / TypeScript
const res = await fetch("https://api.skillboss.co/v1/run", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.SKILLBOSS_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({ model: "openai/text-embedding-3-small", inputs: {} }),
});Endpoint
| Method | POST |
| URL | https://api.skillboss.co/v1/run |
| Auth | Authorization: Bearer $SKILLBOSS_API_KEY |
| Content-Type | application/json |
Related
- SkillBoss documentation — full API reference and SDK guides
- Use cases for OpenAI Embedding Small
- Pricing