Molmo2 Text Content Moderator

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

Related Models

Molmo2 Image Content Moderator — Screen images for harmful content.
Molmo2 Video Content Moderator — Screen videos for harmful content.

Why It Works Great

Comprehensive detection: Screens for harassment, hate, sexual content, and violence.
Child safety: Dedicated detection for content involving minors.
Instant results: Near-instant processing for real-time moderation.
JSON output: Clean, structured results for easy integration.
Ultra-affordable: Just $0.003 per request — 333 requests for $1.
Simple integration: Single text input for straightforward API calls.

Parameters

Parameter	Required	Description
text	Yes	Text content to analyze for harmful content.

How to Use

Enter your text — paste or type the content to analyze.
Run — click the button to analyze.
Review results — check the JSON output for safety classifications.

Pricing

Flat rate per text analyzed.

Output	Cost
Per request	$0.003
100 requests	$0.30
1,000 requests	$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 explicit language
sexual/minors	Any sexual content involving minors
violence	Threats, graphic violence descriptions, or harmful content

Best Use Cases

Chat Platforms — Moderate messages in real-time.
Comments & Reviews — Screen user comments before publishing.
Forums & Communities — Ensure posts meet community guidelines.
Social Media — Filter text content at scale.
Customer Support — Flag abusive messages automatically.
Content Pipelines — Pre-screen text before human review.

Pro Tips for Best Results

Use as a first-pass filter before human moderation for edge cases.
Integrate via API for real-time chat moderation.
At $0.003 per request, high-volume moderation is extremely cost-effective.
Combine with image and video moderation for comprehensive screening.
Process messages as they arrive for instant feedback.

Notes

Processing is near-instant for real-time applications.
Returns boolean values — true indicates detected content.
Designed for automated workflows with JSON output.
Consider human review for flagged content or edge cases.
Works with any language text input.

Molmo2 Text Content Moderator API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/molmo2/text-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 Text Content Moderator below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/molmo2/text-content-moderator" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "enable_sync_mode": false
}'

# 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/text-content-moderator", {
        "enable_sync_mode": false
});

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

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/molmo2/text-content-moderator",
    {
    "enable_sync_mode": false
}
)

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

Molmo2 Text Content Moderator API — Frequently asked questions

What is the Molmo2 Text Content Moderator API?

Molmo2 Text Content Moderator is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Molmo2-4B Text Content Moderator: Analyze text content for safety, appropriateness, and policy compliance. Detects hate speech, violence, sexual content, and other harmful categories. Open-source vision-language model. Ready-to-use REST API, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Molmo2 Text 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-text-content-moderator.

How much does Molmo2 Text Content Moderator cost per run?

Molmo2 Text 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 Text Content Moderator accept?

Key inputs: `enable_sync_mode`, `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-text-content-moderator.

How long does Molmo2 Text Content Moderator take to generate?

Average end-to-end generation time on WaveSpeedAI is around 2 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 Text 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.

ExamplesView all

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