Molmo2 Text Content Moderator
Playground
Try it 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.
Features
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.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/molmo2/text-content-moderator" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"enable_sync_mode": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| text | string | Yes | - | - | Text content to moderate and analyze for safety compliance. |
| enable_sync_mode | boolean | No | false | - | If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of moderation results with safety scores and detected categories. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |