Polish Text Moderation API ML-powered content moderation solution with 3 specialized endpoints: sentiment analysis for product reviews, multi-class message moderation and hate speech recognition. Native Polish language support with JSON responses including confidence scores and probability distributions. Fast (<500ms), privacy-focused (no data storage), and RESTful with full OpenAPI 3.1 documentation. Perfect for e-commerce, forums, and social platforms targeting Polish audiences.
{"predictionLabel":"balanced","prediction":2,"probability":0.58762056,"score":[0.028662512,0.052958846,0.018296719,0.31246138,0.58762056],"probabilities":[{"classification":"offensive","score":0.028662512},{"classification":"hostile","score":0.052958846},{"classification":"sexual","score":0.018296719},{"classification":"nice","score":0.31246138},{"classification":"balanced","score":0.58762056}],"text":"dobrze jest"}
curl --location --request POST 'https://zylalabs.com/api/11591/text+moderation+and+hate+speech+recognition+api/21870/message+moderation' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"text": "dobrze jest"
}'
{"prediction":true,"probability":0.9730605,"score":3.5868523,"text":"To jest świetny produkt, bardzo polecam!"}
curl --location --request POST 'https://zylalabs.com/api/11591/text+moderation+and+hate+speech+recognition+api/21871/product+review+sentiment' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"text": "To jest świetny produkt, bardzo polecam!"
}'
{"prediction":false,"probability":0.00732994,"score":-4.908431,"text":"Nowoczesne wartości są ważne"}
curl --location --request POST 'https://zylalabs.com/api/11591/text+moderation+and+hate+speech+recognition+api/21872/hate+speech+recognition' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"text": "Nowoczesne wartości są ważne"
}'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Text Moderation and Hate Speech Recognition API simply include your bearer token in the Authorization header.
| Header | Description |
|---|---|
Authorization
|
Required
Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.
|
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
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Advanced ML-powered content moderation and sentiment analysis
Complete content moderation solution with 3 specialized endpoints powered by ML.NET models. Perfect for platforms, forums, e-commerce reviews, and social media apps targeting Polish-speaking audiences.
✓ Native PL language support
✓ JSON responses with probability scores
✓ RESTful API with OpenAPI 3.1 documentation
✓ Fast response times (✓ No data storage - privacy-focused)
Each endpoint returns JSON data. The "Moderação de Mensagens" endpoint provides predictions on message intent, while the "Sentimento da Revisão do Produto" endpoint returns sentiment analysis results. The "Reconhecimento de Discurso de Ódio" endpoint indicates the presence of hate speech in the text.
Key fields include "predictionLabel" and "probability" in the "Moderação de Mensagens" response, "prediction" and "score" in the "Sentimento da Revisão do Produto," and "prediction" and "probability" in the "Reconhecimento de Discurso de Ódio."
Response data is structured in JSON format, with each endpoint returning specific fields relevant to its function. For example, the "Moderação de Mensagens" includes a "score" array detailing classification scores, while the "Sentimento da Revisão do Produto" provides a boolean "prediction" indicating sentiment.
Each endpoint accepts a JSON payload containing the text to be analyzed. For example, the "Sentimento da Revisão do Produto" accepts product reviews, while the "Moderação de Mensagens" accepts user messages. No additional parameters are specified for customization.
The "Moderação de Mensagens" provides insights into user message intent, the "Sentimento da Revisão do Produto" assesses product review sentiment, and the "Reconhecimento de Discurso de Ódio" identifies hate speech in text. Each endpoint focuses on different aspects of text moderation.
Users can leverage the "prediction" and "probability" fields to gauge sentiment or intent. For instance, a high probability score in the "Sentimento da Revisão do Produto" indicates strong positive sentiment, while the "Moderação de Mensagens" scores help identify the tone of user interactions.
Data accuracy is maintained through machine learning models trained on diverse datasets. Continuous model evaluation and updates ensure that the API adapts to evolving language use and context, enhancing the reliability of predictions.
Typical use cases include filtering product reviews for e-commerce, moderating social media content, and identifying hate speech in community forums. These applications help maintain a positive user experience and ensure compliance with community standards.
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The free trial lasts for 7 days and allows you to make up to 50 API requests.
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