Transform your API interactions with natural language processing and intelligent schema understanding. Get started by setting up your environment and configuring your API.
Start by creating your APIPT account to access all features.
Set up your first project to organize your APIs.
Set up your API connection details.
To configure your GraphQL API, we'll need:
Upload your API schema for vectorization.
Upload GraphQL schema file
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How your natural language becomes API calls
Select your preferred way to interact with APIPT.
Use our intuitive web interface
Integrate with your codebase
Direct API access
Send your plain text query through your chosen interface.
Your query is processed using our RAG pipeline to find relevant schema context.
Generate precise API queries using context-aware language models.
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Process and cache the response before returning to the user.
Transform natural language into precisely optimized API queries. Our AI understands your schema's intent and structure, eliminating the need to write complex queries manually.
Powered by semantic vector search and large language models, we deliver contextually aware queries that adapt to your API's evolving capabilities, saving hours of development time.
Coming Soon
Coming Soon
APIPT uses advanced vector embeddings and RAG (Retrieval Augmented Generation) to understand your API schema semantically. This allows it to convert natural language queries into precise API calls, matching user intent with the correct endpoints and parameters. Our system first analyzes and vectorizes your API schema, creating a rich semantic understanding of your API's structure and capabilities. When you make a natural language query, APIPT uses this vectorized knowledge to identify the most relevant endpoints and parameters, then generates the appropriate API calls using context-aware language models.
Currently, APIPT fully supports GraphQL APIs, with native schema introspection and query generation. Support for REST APIs and SQL databases is coming soon. Our platform is designed to be protocol-agnostic, allowing for expansion to additional API types in the future. For GraphQL APIs, we support full introspection, custom directives, and complex nested queries. Our REST API support will include OpenAPI/Swagger specification parsing, and our SQL support will cover major database systems including PostgreSQL, MySQL, and SQL Server.
Security is our top priority. APIPT never stores your actual API data - only the schema structure is processed and vectorized. All communications are encrypted, and you maintain full control over API access patterns and authentication. We support various authentication methods including API keys, OAuth, and custom protocols. Our security measures include end-to-end encryption, and compliance with industry standards. Enterprise customers can also opt for private deployments with additional security controls and custom security policies.
APIPT is designed for minimal latency, typically adding only 50-100ms to query processing. Our intelligent caching system and vector search optimizations ensure fast response times. For high-performance requirements, we offer dedicated infrastructure and custom optimization options. The system includes automatic query optimization, smart caching strategies, and load balancing capabilities. Enterprise customers can also benefit from dedicated infrastructure and custom performance tuning based on their specific use cases.
APIPT includes built-in collaboration features. Team members can share projects, manage API versions together, and track usage patterns. Role-based access control ensures team members have appropriate permissions, and all actions are logged for accountability. Teams can collaborate on schema management, share custom configurations, and track API usage across different projects. Our platform also includes audit logs, usage analytics, and team-specific settings to facilitate effective collaboration while maintaining security.
Get in touch with our team to discuss how APIPT can help you create natural language API interfaces.
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