Shipp.ai is a real-time data connector specifically engineered for AI builders. Created by Outsharp Inc., the platform enables developers and AI agents to integrate live, high-frequency data feeds into their applications without the overhead of managing complex data pipelines, negotiating provider contracts, or writing infrastructure code. By simply describing the required data through plain English prompts, users can establish robust, scalable connections that stream real-time information directly into their products. The platform is built to support modern AI-driven development workflows, including vibecoding and agentic applications, ensuring that AI agents always have access to current, trustworthy context.

Functionality centers on the concept of "Connections"—reusable live-data queries. When a user defines a connection via filter instructions, Shipp handles the schema generation, pipeline management, and data delivery. This abstraction allows developers to focus on building features while Shipp manages the underlying data flow. The platform offers a pull-based API where applications can retrieve updates on demand, providing a structured, schema-flexible data array that remains accurate even as the external world changes. This approach is designed for speed, cost-effectiveness, and seamless integration with popular AI coding environments.

Some of the key features are:

• Natural Language Data Definition: Create complex data feeds by providing simple, descriptive prompts instead of writing infrastructure code.
• Schema-Flexible Delivery: Receive live data in a structured, consistent JSON format regardless of the underlying data source complexity.
• Agent-Ready Integration: Seamlessly connects to major AI coding agents and platforms like Claude Code, Lovable, Replit, and others without requiring custom SDKs.
• Real-Time Context: Enables AI agents to reason over live market data, news, and events, allowing for proactive and intelligent application behavior.
• Efficient Polling Mechanisms: Features built-in support for delta-updates using event IDs, reducing data transfer overhead and API costs.
• Industry-Specific Helpers: Includes dedicated APIs for discovery, such as sports schedules, to help structure data requests more effectively.

To use Shipp, developers first create a connection by specifying their desired event stream via an API request. The platform returns a unique connection ID, which the application then uses to poll for updates or feed the data into an AI agent. By incorporating since_event_id parameters, developers can efficiently receive only the most recent data, minimizing latency and bandwidth usage. This process is designed to be highly testable, allowing for rapid iteration and refinement of data requirements during the development lifecycle.

Some common use cases include:

• Sports Application Development: Powering real-time scoreboards, play-by-play updates, and in-game statistics for sports fan engagement platforms.
• AI Agent Contextualization: Providing live market signals or news feeds to autonomous agents so they can make informed, context-aware decisions.
• Commerce and Logistics Monitoring: Tracking real-time inventory levels, shipping status, and price fluctuations to keep user interfaces updated without manual refreshes.
• Finance Dashboards: Streaming live financial metrics or portfolio changes to display current market conditions to users instantly.