Launching Espresso API: Curated Business Intelligence for AI Agents

Overview

The Espresso API is a new tool designed for developers and organizations that build AI agents, executive dashboards, or automated reporting systems. It is part of a larger suite of products from the company Cafecito. The main goal of this API is to turn raw data into high-quality insights. It removes the noise often found in standard data feeds so users can make better decisions faster.

Benefits

The Espresso API offers several key advantages over traditional data sources. It distinguishes between raw data, which it calls beans, and refined intelligence, which it calls espresso. This means users do not have to waste time parsing unstructured information. Instead, they receive token-optimized responses that are ready for use.

The tool aggregates events from many public sources, including product price changes, stock market movements, SEC filings, earnings reports, and corporate partnerships. It provides two main types of data:*Events: These are raw data points like a specific price change or stock movement.*Signals: These are a smarter layer built on top of events. Signals combine multiple similar events over time to show event chains, causal relationships, and common patterns between different entities.

The data returned is clean and enriched with useful fields. These include a synthesized summary of the event, an assessment of its severity, the broader context like climate issues, effects on different sectors, future predictions, and geographic tags. This structure helps users quickly understand the impact of any given event.

Use Cases

This API is ideal for anyone building systems that need real-time business and market context. It works well for developers creating AI agents that need to understand the world around them. It is also useful for organizations building executive dashboards that require clear, concise briefings.

Users can query the API using standard HTTP requests. They can search for signals using semantic queries to find topics like market volatility or interest rates. They can also filter results by specific tags, such as region or policy reform, and set date ranges. The system allows users to adjust accuracy levels and limit the number of results returned. This flexibility makes it suitable for various projects, from automated briefings to complex RAG pipelines that need reliable data.

Pricing

The Espresso API is currently free for users. It is in an early stage of development, and the team is actively working to fix bugs and add more signals. While the cost is zero at this time, the creators are looking for feedback to improve the product before it potentially moves to a paid model.

Vibes

The creators of the Espresso API are actively seeking feedback from the community. They invite users to share what new signals or use cases would make the tool more useful. They also welcome brutal feedback on current limitations and details about the projects users are building with the API. The tone of the project is collaborative and open, with a focus on helping builders create well-informed AI agents. The team is happy to hear from anyone who wants to test the tool and help shape its future.

Additional Information

The Espresso API is currently at version 0.1 and is live and open for use. It includes a full Model Context Protocol server, which allows AI agents to connect directly to the data. The documentation is available in the project repository for those who want to get started. The team is focused on refining the product and ensuring it provides the high-signal layer that developers have been looking for.