Clado

This is the core of the product. You write a normal sentence, and Clado parses it into structured criteria, then runs a large set of AI agents to filter and rank profiles by relevance rather than exact keyword hits. The stated library sits at 800 million profiles and keeps growing. The point is that a query like "AI engineers I could recruit for a pharma startup who care about biology" has no clean filter equivalent, and the agent approach is meant to handle that gap.

Beyond a single search, Clado runs deep research jobs that work through a larger surface area and validate findings as they go. These jobs run asynchronously, so you kick one off and check back for results, and you can continue an existing job to pull more matches without starting over. This suits broad morning-long scans where a quick search would leave too much on the table.

Finding the right person is only half the job, so Clado also finds ways to reach them. Its enrichment endpoints return email addresses and phone numbers for a LinkedIn profile and can expand a single profile into detailed experience, education, and summary fields. Contact lookups only charge when a record is actually found, which keeps wasted spend down on hard-to-reach people.

The platform runs a LinkedIn profile search from a plain query, scrapes a LinkedIn profile from a URL, and also returns a stored profile from its own database, so you can pull fresh data or reuse something already indexed. Every search result ships with a LinkedIn URL, which makes the enrichment step a direct hand-off instead of a manual copy-paste job. Developers get the same capability through the API.

Clado exposes the whole pipeline as an API on a pay-per-use credit model, where each credit costs one cent. A standard agent-filtered search result runs one credit, email enrichment runs four, and phone enrichment runs ten, so cost scales with what you actually pull. Keys use Bearer authentication, and endpoint rate limits rise with how much you've spent, from a free tier up to higher paid tiers.

Clado Atlas is the packaged workspace that wraps search, deep research, and enrichment into one product built around teams. Rather than stitching separate tools together, a team runs its sourcing and research in a single place with shared context. This is the layer Clado points most business users to, while the API serves developers who want the same engine inside their own software.