Glasser released a pay-per-call data service for AI agents!

It allows agents to access ~2000 paid API endpoints across different providers, under a single key without a subscription.

Users can get started by typing "set up http://glasser.ai/SKILL.md" into Claude Code, Codex, Cursor, or any other supported agent. The agent automatically installs the Glasser CLI and opens a browser window to sign in.

After that, the agent handles the catalog itself, finds an endpoint for the job, checks how much the call will cost, runs it, and reports how much was spent.

Most of these data sources are usually locked behind separate monthly plans reserved for SEO, sales, and company research tools. Glasser predicts that most teams would only need a few lookups from each source and would prefer to pay for those calls alone.

There’s also an open-source skills library on GitHub facilitating jobs like competitor research, SEO audits, and prospect lists. The skills can be mounted on an existing agent setup, allowing a workflow that used to scrape pages to call a paid source.

We tested it on two jobs, costing a total of $0.038 out of the free $1 credit.

An Apollo lookup on http://cursor.com returned a result in under half a second, with data on headcount, funding rounds, investors, a department breakdown, and 132 detected technologies, costing $0.026.

A DataForSEO search on our own domain found 2,995 keywords testingcatalog[.]com ranks for on Google in the US, and returned the top 100 with positions and search volume, for $0.012.

New workspaces get $1 in credit to try it, and don’t require a card.

Test it out 👀
https://link.glasser.ai/TestingCatalogNews