Molmo2 Video Content Moderator

Automatically screen videos for harmful content with Molmo2 Video Content Moderator. This AI-powered moderation tool analyzes videos and returns safety classifications for harassment, hate speech, sexual content, and violence — essential for content platforms, user-generated content, and compliance workflows.

Need image moderation? Try Molmo2 Image Content Moderator for image analysis.

Why It Works Great

Comprehensive detection: Screens for harassment, hate, sexual content, and violence.
Child safety: Dedicated detection for content involving minors.
Fast processing: Quick analysis with results in seconds.
JSON output: Clean, structured results for easy integration.
Ultra-affordable: Just $0.003 per video — 333 videos for $1.
Custom criteria: Optional text input for additional context.

Parameters

Parameter	Required	Description
video	Yes	Video to analyze (upload or public URL).
text	No	Optional context or custom moderation criteria.

How to Use

Upload your video — drag and drop or paste a public URL.
Add context (optional) — provide additional text for custom criteria.
Run — click the button to analyze.
Review results — check the JSON output for safety classifications.

Pricing

Flat rate per video analyzed.

Output	Cost
Per video	$0.003
100 videos	$0.30
1,000 videos	$3.00

Output Format

The model returns a JSON object with boolean flags for each content category:

{
 "harassment": false,
 "hate": false,
 "sexual": false,
 "sexual/minors": false,
 "violence": false
}

Detection Categories

Category	Description
harassment	Bullying, intimidation, or targeted abuse
hate	Hate speech, discrimination, or prejudice
sexual	Adult sexual content or nudity
sexual/minors	Any sexual content involving minors
violence	Graphic violence, gore, or harmful acts

Best Use Cases

Content Platforms — Screen user-uploaded videos before publishing.
Social Media — Moderate video content at scale.
E-commerce — Review product videos for policy compliance.
Education — Ensure learning content is age-appropriate.
Compliance — Meet content moderation requirements efficiently.
Pre-screening — Filter content before human review.

Pro Tips for Best Results

Use as a first-pass filter before human moderation for edge cases.
Integrate via API for automated moderation pipelines.
At $0.003 per video, batch processing is extremely cost-effective.
Combine with image moderation for comprehensive content screening.
Use the text parameter to provide context for borderline content.

Notes

If using a URL, ensure it is publicly accessible.
Processing time scales with video length.
Returns boolean values — true indicates detected content.
Designed for automated workflows with JSON output.
Consider human review for flagged content or edge cases.

Molmo2 Video Content Moderator API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/molmo2/video-content-moderator with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Molmo2 Video Content Moderator below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/molmo2/video-content-moderator" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "video": "https://example.com/your-input.mp4"
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/molmo2/video-content-moderator", {
        "video": "https://example.com/your-input.mp4"
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/molmo2/video-content-moderator",
    {
    "video": "https://example.com/your-input.mp4"
}
)

print(output["outputs"][0])  # → URL of the generated output

Molmo2 Video Content Moderator API — Frequently asked questions

What is the Molmo2 Video Content Moderator API?

Molmo2 Video Content Moderator is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Molmo2-4B Video Content Moderator analyzes video content for safety, appropriateness, and policy compliance. Detects violence, nudity, gore, and other harmful visual content in videos using an open-source vision-language model. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Molmo2 Video Content Moderator API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/molmo2-video-content-moderator.

How much does Molmo2 Video Content Moderator cost per run?

Molmo2 Video Content Moderator starts at $0.003 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Molmo2 Video Content Moderator accept?

Key inputs: `video`, `text`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/molmo2-video-content-moderator.

How long does Molmo2 Video Content Moderator take to generate?

Average end-to-end generation time on WaveSpeedAI is around 3 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Molmo2 Video Content Moderator outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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