agent-data: structured web data for OpenClaw that’s 70% cheaper than browser automation

Hey guys, I’d like to showcase agent-data – a tool for giving AI agents like OpenClaw access to structured web data (X and Reddit posts, flight fares and statuses, live job postings, and more). The inspiration for agent-data came from trying to get OpenClaw to reliably and efficiently perform tasks like “provide me a summary of the latest posts on r/OpenClaw every morning” or “send me a notification when roundtrip flights to SFO drop below $300.” I tried alternatives like browser automation and ad-hoc scraping but found that they were both significantly more expensive and significantly less reliable (you can find a benchmark comparing agent-data to both alternatives here: https://agent-data.dev/blog/benchmarking-ai-agent-web-access/). What makes agent-data more efficient and reliable is that each underlying endpoint is a pure Python API designed specifically for AI agent consumption (intuitive parameters, structured output by default, progressive disclosure for token management). Ultimately, the goal is to make the web more navigable for AI agents, so they can do work for us without breaking or burning tokens. There are a lot of exciting features on the roadmap, but I’d love to know if there are any recurring web tasks any of you have tried to implement with OpenClaw but weren’t able to (or found too annoying or expensive to maintain).