Glasser launches pay-per-call data service
This service democratizes access to premium data sources that were previously locked behind expensive monthly subscriptions, making them accessible on a per-use basis. Developers and businesses in ASEAN can now leverage these high-quality data sources for competitive research and SEO analysis without committing to long-term contracts, potentially reducing costs for small teams and startups.
Glasser released a pay-per-call data service for AI agents, providing access to ~2000 paid API endpoints across different providers under a single key without subscription.
Users can set it up by typing a specific command into Claude Code, Codex, or Cursor, which automatically installs the Glasser CLI.
The service was tested with two jobs costing $0.038 total out of a free $1 credit, including an Apollo lookup and a DataForSEO search.
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 https://t.co/WCMUOBdw5M" 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 https://t.co/ZBzHukOHz8 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://t.co/qilS8V9YCu
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Glasser, AI agents, API endpoints, pay-per-call.
Source attribution: curated from TestingCatalog (@testingcatalog). Cross-source corroboration: 8 independent sources have covered this development (including 掘金本周最热, Tw93, Aadit Sheth), confirming industry-wide signal strength.
