acedatacloud 2026.7.22.0

Official Python SDK for AceDataCloud — AI-powered data services

AceDataCloud Python SDK

Official Python client for the AceDataCloud API.

Installation

pip install acedatacloud

Quick Start

from acedatacloud import AceDataCloud

client = AceDataCloud(api_token="your-token")

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

# Streaming
for chunk in client.openai.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Tell me a story"}],
    stream=True,
):
    print(chunk.get("choices", [{}])[0].get("delta", {}).get("content", ""), end="")

Async Usage

import asyncio
from acedatacloud import AsyncAceDataCloud

async def main():
    client = AsyncAceDataCloud(api_token="your-token")
    result = await client.search.google(query="Python SDK")
    print(result)
    await client.close()

asyncio.run(main())

Resources

Resource	Description
client.openai	OpenAI-compatible chat completions and responses
client.chat	Native chat messages
client.images	Image generation (Flux, Seedream, Nano Banana, etc.)
client.audio	Music generation (Suno)
client.video	Video generation (Luma, Sora, Veo, etc.)
client.search	Web search (Google SERP)
client.face	Face analysis & transformation (swap, beautify, age, cartoon)
client.shorturl	Short URL creation
client.tasks	Cross-service async task polling
client.files	File uploads
client.platform	Applications, credentials, models management

Image Generation (with Task Polling)

# Default provider (nano-banana)
task = client.images.generate(prompt="A sunset over mountains")
result = task.wait()  # polls until complete
print(result["image_url"])

# Use a specific provider
flux_task = client.images.generate(prompt="A sunset over mountains", provider="flux")

Multi-Provider Support

Image, video, and audio resources support a provider parameter to switch between services:

# Video — default is 'sora'
client.video.generate(prompt="A cat playing piano", provider="kling")
client.video.generate(prompt="Ocean waves", provider="luma")

# Audio — default is 'suno'
client.audio.generate(prompt="A jazz song", provider="producer")

Available providers:

Resource	Providers
client.images	nano-banana (default), flux, seedream
client.video	sora (default), luma, veo, kling, hailuo, seedance, wan, pika, pixverse
client.audio	suno (default), producer, fish

Error Handling

from acedatacloud import AceDataCloud, AuthenticationError, RateLimitError

client = AceDataCloud(api_token="your-token")
try:
    client.search.google(query="test")
except AuthenticationError:
    print("Invalid or expired token")
except RateLimitError:
    print("Too many requests, slow down")

Configuration

client = AceDataCloud(
    api_token="your-token",
    base_url="https://x402.acedata.cloud",      # API gateway (default)
    platform_base_url="https://platform.acedata.cloud",  # Management plane
    timeout=300.0,      # Request timeout in seconds
    max_retries=2,      # Retry count for transient errors
)

The token can also be set via the ACEDATACLOUD_API_TOKEN environment variable.

Paying with X402 Instead of a Bearer Token

The SDK supports a pluggable payment_handler that is invoked when the API returns 402 Payment Required. Any callable (or async callable) that returns the required headers is accepted:

from acedatacloud import AceDataCloud, PaymentHandlerContext, PaymentHandlerResult

def my_payment_handler(ctx: PaymentHandlerContext) -> PaymentHandlerResult:
    # ctx["accepts"] is the list of payment requirements returned by the server.
    # Your job: sign the preferred one and return the retry header.
    x_payment = sign_and_encode(ctx["accepts"])  # your implementation
    return {"headers": {"X-Payment": x_payment}}

client = AceDataCloud(payment_handler=my_payment_handler)

# Normal SDK calls — the handler is only invoked when the server returns 402.
result = client.openai.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Hi"}],
)

The AsyncAceDataCloud client accepts either a synchronous or asynchronous handler. For a ready-made signer, install acedatacloud-x402 and pass its handler directly:

from acedatacloud import AceDataCloud
from acedatacloud_x402 import EVMAccountSigner, create_x402_payment_handler

client = AceDataCloud(
    payment_handler=create_x402_payment_handler(
        network="base",
        evm_signer=EVMAccountSigner.from_private_key("0x..."),
        prefer_scheme="upto",
    )
)

See AceDataCloud/X402Client for Base, Solana, and SKALE setup details.

License

MIT