Local answers need
current local data.

Scrapers are fast, but they mostly capture what is already public: names, hours, star ratings, and old pages. The details that help someone make a decision often live somewhere else: in the current knowledge of the people running the business.

Pawlo was built to collect and structure that data. Businesses, organizers, and partners can update Pawlo directly, and AI agents can fetch the current version through MCP/API.

The goal is simple: help AI assistants recommend the real local option, not the stale or generic version scraped from yesterday's web.