Automatically detects toxicity in text, classifying levels such as insults, threats, or hate speech with high accuracy and confidence in real time.

Detect any offensive or sexual username on your platform faster than ever with this API.

The Diabetes Risk Assessment API leverages advanced AI and machine learning algorithms to evaluate individual health metrics and deliver a classification of diabetes risk as either 'Positive' or 'Negative'.

"The Username Toxicity Detection API safeguards online communities by identifying and flagging toxic or offensive usernames in real time."

Safeguard Your Community with our Toxicity Detection API! Harness the power of our Language Understanding API to automatically detect and filter out profanities, toxic content, insults, and more from user-generated content. Prioritize a positive and respectful online environment with our seamless and efficient Toxicity Detection API.

Accepts a structured description of a working relationship and returns a jurisdiction-specific misclassification risk score (0-100), risk level, factor-by-factor analysis, and plain-English reasoning across 20 jurisdictions. Also includes remediation guidance, safe-harbor checklists, financial exposure estimation, cross-jurisdiction comparison, and portfolio-level bulk scoring. No database, no runtime scraping — fast and deterministic responses.

Toxic Text Detector API for user-generated content is a machine learning tool designed to detect the toxic, profane, and offensive language in user-generated content

CPU-based NLP aggregate — sentiment, toxicity, language detection, NER, semantic similarity, and spellcheck.

Classify content into IAB categories using tiered and unified prediction endpoints.

Capture detailed toxicity detection data instantly, enhancing safety and compliance for your applications.

Effortlessly access and retrieve toxicity content with our streamlined API, designed for accurate insights.

Extract and analyze toxicity content efficiently with our powerful API, perfect for enhancing your project’s integrity.

Seamlessly access a wide range of toxicity-focused media, facilitating informed decisions and research.

The Insult Detection API is a powerful tool that identifies offensive language and insults in text, promoting respectful communication in online platforms.

This API provides comprehensive data on chemical elements, including their properties, classifications, and more detailed information.

Measure the health of digital conversations effectively, fostering positive engagement and responsible interactions.

Analyze a public web page against developer-defined safety categories. Receive the detected category and an explanation for content filtering, compliance, and review.

Check public web pages for adult or restricted textual content. Returns the best matching safety category and a concise explanation for moderation and filtering workflows.

Classify public web pages for adult, gambling, violent, hateful, drug-related, or other unsafe content. Returns the detected category, an explanation, and usage details.

Score misclassification risk (0–100) across 20 jurisdictions from a structured description of a working relationship, with the legal test applied and factor-by-factor reasoning.

Score misclassification risk before placing a worker in any of 20 jurisdictions, with financial exposure estimates and remediation guidance for EOR and payroll teams.

Score IR35 and off-payroll working risk for UK engagements, alongside 19 other jurisdictions' classification tests, with factor-by-factor reasoning.

Score one working relationship across up to 5 jurisdictions at once, or compare jurisdictions' legal tests and penalty exposure side by side, to find the safest place to engage a role.

Bulk-score up to 100 existing contractor relationships in one call, with per-worker risk levels and aggregate statistics to flag your highest-risk workers first.

AI-powered content moderation API that detects toxic, offensive, hateful, and inappropriate text. Returns safety scores and category classifications for user-generated content filtering.