API for Hyper-Local Event Data Aims to Accelerate Discovery Apps

A new API and agent framework, named "thingstodoapi," has launched to provide structured data on local, ephemeral events such as pop-ups, one-off happenings, and concerts. It currently covers the San Francisco Bay Area.

The creator, an individual developer, built this tool to address the fragmentation and slowness of collecting niche event data. Existing methods, including general web search and even advanced AI agents using tool calls, often prove insufficient or too slow for real-time personalization and recommendation applications.

"I've been building a bunch of consumer apps lately around personalization and recommendation and have had a hard time finding this data in one spot."

This challenge spurred the development of a dedicated data source. The methodology involves identifying influential local accounts and posters, then fanning out to gather information on events they co-post or promote.

The API is designed for developers building consumer applications that require timely, structured data on hyper-local events. It aims to accelerate the development of personalized recommendation engines by providing a curated feed that is faster than on-demand scraping.

While the tool's integration with a "claude mcp add" command suggests compatibility with agent-based systems, its core value lies in pre-processing and structuring fragmented event information. This allows developers to bypass the overhead of bespoke data collection.

Currently limited to the SF Bay Area, the developer is soliciting feedback on potential expansion to other cities. This indicates a focus on specific, high-density urban environments where such ephemeral events are common.

The service competes with the manual aggregation of event data, as well as the more general capabilities of large language models attempting to extract event details from unstructured web content. Its specific niche is the aggregation of hard-to-find, temporary local happenings, a model that could be extended to any urban environment globally, or even to the curation of digital events in virtual spaces.