Multimodal Content Moderation

Automated content moderation pipeline that analyzes text, images, and video for policy violations. Uses hierarchical taxonomy classification to label content as safe, sensitive, or prohibited across multiple categories simultaneously.

text

image

video

Multi-Stage

2.9K runs

Run in Builder

from mixpeek import Mixpeek

client = Mixpeek(api_key="YOUR_API_KEY")

# Create a taxonomy with moderation categories
taxonomy = client.taxonomies.create(
    namespace_id="ns_your_namespace",
    name="content_moderation",
    taxonomy_type="hierarchical",
    hierarchy=[
        {"node_id": "safe", "collection_id": "col_safe_examples"},
        {"node_id": "sensitive", "collection_id": "col_sensitive_examples"},
        {"node_id": "prohibited", "collection_id": "col_prohibited_examples"},
    ]
)

# Apply taxonomy to your UGC collection
client.collections.apply_taxonomy(
    collection_id="col_user_content",
    taxonomy_id=taxonomy["taxonomy_id"]
)

# Check moderation status on new uploads
results = client.retrievers.execute(
    retriever_id="ret_moderation",
    query={"image_url": "https://example.com/user-upload.jpg"}
)

verdict = results["documents"][0]["taxonomy_enrichment"]
print(f"Category: {verdict['category']}, Confidence: {verdict['confidence']:.2f}")

Feature Extractors

Retriever Stages

aggregate

Compute aggregations (COUNT, SUM, AVG, etc.) on pipeline results

reduce

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