Add powerful AI capabilities to your application in minutes. 10 research-backed prompt templates, text analysis, image recognition, recommendations, and content moderation—no ML expertise required.
<100ms
Inference Time
15+
AI Models
99.5%
Accuracy
100+
Languages
Pre-built machine learning features that would take months to build—ready to integrate in minutes.
Extract insights from text with sentiment analysis, entity recognition, and key phrase extraction.
Classify images, detect objects, and extract text from images with computer vision APIs.
Personalized recommendations for products, content, or actions based on user behavior.
Automatically detect and filter inappropriate content, spam, and policy violations.
Generate vector embeddings for semantic search, clustering, and similarity matching.
Translate text between languages with high accuracy and natural fluency.
10 research-backed prompt schemas ready to use. Chain of Thought, Few-Shot Learning, RAG Context, and more—each with structured sections and dynamic placeholders.
Open-ended prompt for any task. No constraints, maximum flexibility.
Role-based prompts with expertise context and behavioral guidelines.
Enforce JSON, tables, or specific formats in LLM responses.
Step-by-step reasoning for complex problem-solving tasks.
Teach by example with input/output pairs for consistent results.
LLM reviews and improves its own output before returning.
Grounded generation with retrieved documents and source citations.
Multi-source research with structured findings and evidence.
Verify claims against evidence with confidence scores.
Generate structured knowledge from unstructured data.
Every template uses {{placeholder}} syntax for dynamic values. Supports strings, arrays, nested objects, and pipe transforms.
// Render a prompt template
const result = await client.prompts.render(
"prompt_uid", {
topic: "climate change",
sources: ["url1", "url2"]
}
);No ML pipelines. No model training. No infrastructure. Just call the API and get intelligent results.
// Analyze sentiment
const sentiment = await client.ai.analyzeSentiment({
text: "This product is absolutely amazing!"
});
// { score: 0.92, label: "positive" }
// Extract entities
const entities = await client.ai.extractEntities({
text: "Apple CEO Tim Cook announced..."
});
// { entities: [{ text: "Apple", type: "ORG" }, ...] }
// Get recommendations
const recs = await client.ai.recommend({
userId: "user_123",
context: "product-page",
limit: 5
});From e-commerce to customer support—add intelligence to any application.
Product recommendations, review sentiment, image search, and smart categorization.
Content moderation, auto-tagging, personalized feeds, and engagement prediction.
Ticket classification, sentiment detection, response suggestions, and priority scoring.
From API call to intelligent response in milliseconds.
Pass your text, image, or user data to the AI endpoint.
Our optimized ML models analyze your data in real-time.
Receive structured JSON with predictions and confidence scores.
Use the insights to power features in your application.
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