Content Moderator Text

Content Moderator Text

Playground

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.

Features

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

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

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.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "text": "A clear example input"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/content-moderator/text" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters