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Content Moderator Text

wavespeed-ai /

Scalable Text Content Moderator for filtering and classifying user-generated text, ideal for safety and compliance workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

content-moderation
Entrada
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.

Ocioso

$0.001por execução·~1000 / $1

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README

Content Moderator — Text

Content Moderator Text is a fast and affordable AI-powered text moderation model that analyzes text content for policy violations, harmful content, and inappropriate material. Submit any text and receive instant moderation results to keep your platform safe and compliant.

Why It Stands Out

  • Fast moderation: Analyze text content in milliseconds.
  • Comprehensive detection: Identifies various types of harmful or inappropriate content.
  • Ultra-affordable: High-volume moderation at just $0.001 per request.
  • Simple integration: Single parameter input for easy implementation.
  • Scalable: Perfect for high-volume content moderation needs.

Parameters

ParameterRequiredDescription
textYesText content to analyze for moderation.

How to Use

  1. Enter the text you want to moderate.
  2. Click Run and receive the moderation analysis.
  3. Review results and take appropriate action based on findings.

Best Use Cases

  • User-Generated Content — Moderate comments, posts, and messages on your platform.
  • Chat Moderation — Screen chat messages in real-time for violations.
  • Content Publishing — Review content before publication.
  • Community Management — Keep online communities safe and welcoming.
  • Compliance — Ensure content meets platform policies and regulations.
  • API Integration — Build moderation into your content pipelines.

Pricing

OutputPrice
Per request$0.001

Pro Tips for Best Quality

  • Submit text in its original form for most accurate moderation.
  • Use for pre-screening before content goes live.
  • Combine with image and video moderation for comprehensive coverage.
  • Build automated workflows to handle flagged content.

Notes

  • Processing is nearly instantaneous for most text lengths.
  • Please ensure your usage complies with applicable guidelines.
Acessibilidade:Este site utiliza modelos de IA fornecidos por terceiros.

Content Moderator Text API — Quick start

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

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/content-moderator/text" \
  -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/content-moderator/text", {
        "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/content-moderator/text",
    {
    "enable_sync_mode": false
}
)

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

Content Moderator Text API — Frequently asked questions

What is the Content Moderator Text API?

Content Moderator Text is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. Scalable Text Content Moderator for filtering and classifying user-generated text, ideal for safety and compliance workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Content Moderator Text 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/content-moderator-text.

How much does Content Moderator Text cost per run?

Content Moderator Text starts at $0.001 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 Content Moderator Text 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/content-moderator-text.

How long does Content Moderator Text 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 Content Moderator Text 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.