Apigator by MixerBox

Docs

API reference

Apigator is OpenAI-compatible. Point any OpenAI SDK at the base URL, pass your Apigator key, and call hundreds of models — chat, image, audio, embeddings — through one endpoint.

Looking for task recipes & tool integrations (LangChain, Vercel AI SDK, Cursor, Cline)? See the Cookbook.

Free quickstart

No card needed — free models run on a brand-new key.

Get a key in the Dashboard and make your first call right away with a free model — it bills $0, so no top-up required. Paid models unlock once you add a balance. 

curl https://api.apigator.ai/v1/chat/completions \
  -H "Authorization: Bearer sk-YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"free/nemotron-nano-30b","messages":[{"role":"user","content":"Hello from Apigator!"}]}'
from openai import OpenAI

client = OpenAI(base_url="https://api.apigator.ai/v1", api_key="sk-YOUR_KEY")

resp = client.chat.completions.create(
    model="free/nemotron-nano-30b",  # free — no balance needed
    messages=[{"role": "user", "content": "Hello from Apigator!"}],
)
print(resp.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.apigator.ai/v1", apiKey: "sk-YOUR_KEY" });

const r = await client.chat.completions.create({
  model: "free/nemotron-nano-30b", // free — no balance needed
  messages: [{ role: "user", content: "Hello from Apigator!" }],
});
console.log(r.choices[0].message.content);
free/nemotron-nano-30bfree/nemotron-super-120bfree/gemma-4-31b

Quick start

Swap the base URL — that's the whole integration. Pick your language:

curl https://api.apigator.ai/v1/chat/completions \
  -H "Authorization: Bearer sk-..." \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-4o","messages":[{"role":"user","content":"Hello!"}]}'
from openai import OpenAI

client = OpenAI(base_url="https://api.apigator.ai/v1", api_key="sk-...")

resp = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.apigator.ai/v1", apiKey: "sk-..." });

const r = await client.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);

Base URL https://api.apigator.ai/v1 · Auth Authorization: Bearer sk-YOUR_KEY (get a key in the Dashboard).

Endpoints by modality

Not everything is chat. Each model on /models lists the endpoint it uses — pick the right one. Same base URL, same key.

Modality Endpoint Model id example
Chat POST /v1/chat/completions gpt-4o
Image generation POST /v1/images/generations openai/gpt-image-1, fal_ai/fal-ai/flux/schnell
Text-to-Speech POST /v1/audio/speech elevenlabs-tts
Speech-to-Text POST /v1/audio/transcriptions groq/whisper-large-v3
Embeddings POST /v1/embeddings openai/text-embedding-3-small
Video gen (async) POST /v1/videos gemini/veo-3.1-fast-generate-preview

Examples

Python examples assume the client from Quick start.

Image generation

curl https://api.apigator.ai/v1/images/generations \
  -H "Authorization: Bearer sk-..." \
  -d '{"model":"openai/gpt-image-1","prompt":"a red crocodile mascot","n":1}'
client.images.generate(model="openai/gpt-image-1", prompt="a red crocodile mascot", n=1)
const img = await client.images.generate({
  model: "openai/gpt-image-1",
  prompt: "a red crocodile mascot",
  n: 1,
});

Embeddings

curl https://api.apigator.ai/v1/embeddings \
  -H "Authorization: Bearer sk-..." \
  -d '{"model":"openai/text-embedding-3-small","input":"hello world"}'
client.embeddings.create(model="openai/text-embedding-3-small", input="hello world")
const e = await client.embeddings.create({
  model: "openai/text-embedding-3-small",
  input: "hello world",
});

Text-to-Speech

curl https://api.apigator.ai/v1/audio/speech \
  -H "Authorization: Bearer sk-..." \
  -d '{"model":"elevenlabs-tts","input":"Hello","voice":"21m00Tcm4TlvDq8ikWAM"}' \
  --output speech.mp3
with client.audio.speech.with_streaming_response.create(
    model="elevenlabs-tts", voice="21m00Tcm4TlvDq8ikWAM", input="Hello",
) as r:
    r.stream_to_file("speech.mp3")
import fs from "fs";
const mp3 = await client.audio.speech.create({
  model: "elevenlabs-tts", voice: "21m00Tcm4TlvDq8ikWAM", input: "Hello",
});
fs.writeFileSync("speech.mp3", Buffer.from(await mp3.arrayBuffer()));

voice must be an ElevenLabs voice id, not a name. Full audio guide: /audio.md.

Models & Claude

Browse every callable model (with pricing + the endpoint each uses) at apigator.ai/models, or call GET https://api.apigator.ai/v1/models. Everything except Claude is open to every key by default; Claude is allowlist-gated and runs on a separate Anthropic-compatible endpoint — see Claude Code CLI.

For AI agents

Wiring up a client for your user? Fetch these raw markdown files and follow them verbatim.

/api.md

Full API integration guide — base URL, auth, model ids, every endpoint.

/audio.md

Audio APIs in detail: TTS (voice_id rule), Music, Speech-to-Text.

/llms.txt

Discovery index for agents (the standard llms.txt format).

/claude-cli.md

Claude Code CLI setup against the Anthropic-compatible endpoint.

Errors