Most powerful text embedding model with 3072-dimension output.
Endpoint: POST https://api.skillboss.co/v1/run · Model: openai/text-embedding-3-large
Use cURL when you want the clearest raw HTTP example. This is the fastest way to validate auth, inputs, output shape, and the canonical endpoint before wiring the API into code or agent workflows.
curl -X POST https://api.skillboss.co/v1/run \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/text-embedding-3-large",
"inputs": {
// Your parameters here
}
}'Start using OpenAI Embedding Large in under 60 seconds
FOR AI AGENTS
Base URL: https://api.skillboss.co/v1
Model: openai/text-embedding-3-large
Auth: Bearer token — get at skillboss.co/console
Pricing: $0.52/1M tokens, no subscription
Or auto-configure everything:
set up skillboss.co/skill.mdFOR DEVELOPERS
Get your API key at skillboss.co/console
POST to api.skillboss.co/v1 with model openai/text-embedding-3-large
Parse the JSON response. Auth, billing, and rate limits handled automatically.
Call OpenAI Embedding Large through one stable API surface
Ship integrations faster without vendor account setup
Use the capability directly inside human and agent workflows
OpenAI Embedding Large is a embedding api available through SkillBoss. Teams use it to add OpenAI Embedding Large to apps, automations, and AI agent workflows without managing separate vendor credentials. This page gives both humans and agents one stable place to understand the capability, pricing path, and invocation pattern before they ship it into production.
Send a POST request to https://api.skillboss.co/v1/run with "model": "openai/text-embedding-3-large" and an "inputs" object. SkillBoss handles auth, billing, and the unified API layer. If you are testing the endpoint manually, start with the cURL or Python tab below. If you are wiring an autonomous agent, use the x402 or MPP tabs when the payment path matters.
SkillBoss gives you one API key, pay-as-you-go billing, and a consistent integration flow across many APIs. That reduces setup time and makes the endpoint easier to use in Claude Code, Cursor, Windsurf, and other agents. It also gives you a canonical public page, consistent docs, and one billing surface instead of forcing each team to juggle provider-specific auth and pricing rules.
Yes. This page is designed as a discovery surface for both humans and agents: clear capability framing, direct code examples, and a stable canonical URL make it easier to find, evaluate, and invoke. The structure is deliberate so search engines, agent runtimes, and developers can all understand what the endpoint does, how it is paid for, and which next pages matter.
OpenAI Embedding Large is better served through the standard SkillBoss API key flow. x402 and MPP work best when pricing is deterministic before execution, which is not the safest assumption for this endpoint.
One API key, 100+ models, zero markup
AI Agents
Tell your agent:
set up skillboss.co/skill.mdAuto-configures base URL, auth, and OpenAI Embedding Large access. Works with Claude Code, Cursor, Windsurf, and any MCP-compatible agent.
Developers
1. Get API key at skillboss.co/console
2. POST to api.skillboss.co/v1/run
3. Model: openai/text-embedding-3-large
Pay-as-you-go. $0.52/1M tokens. No subscription required.