Python SDK

pip install membit-python

uv add membit-python

from membit import MembitClient

client = MembitClient(api_key="your_api_key_here")
clusters = client.cluster_search("artificial intelligence", limit=3)
print(clusters)

from membit import MembitClient

client = MembitClient(api_key="your_api_key_here")
cluster_info = client.cluster_info("AI Learning Resources", limit=5, output_format="json")
print("Cluster Info:", cluster_info)

from membit import MembitClient

client = MembitClient(api_key="your_api_key_here")
posts = client.post_search("machine learning", limit=10, output_format="json")
print("Found posts:", posts)

import asyncio
from membit import AsyncMembitClient

async def analyze_topics():
    client = AsyncMembitClient(api_key="your_api_key_here")

    # Search for trending clusters asynchronously
    clusters = await client.cluster_search("tech news", limit=5)

    # Get detailed info for multiple clusters concurrently
    if clusters.get("clusters"):
        tasks = [
            client.cluster_info(label=cluster["label"])
            for cluster in clusters["clusters"]
        ]
        cluster_details = await asyncio.gather(*tasks)

        for details in cluster_details:
            print(details)

# Run the async function
asyncio.run(analyze_topics())

export MEMBIT_API_KEY="<your-api-key>"