A side-by-side of two data & enrichment for building AI agents — live GitHub data, languages, and what each is best at.
Short answer: Clay leads Clay vs Oxylabs by community traction (★ 0 vs ★ 0). Pick Clay for its strengths; pick Oxylabs for its strengths.
| Clay | Oxylabs | |
|---|---|---|
| GitHub stars | ★ 0 | ★ 0 |
| Language | — | — |
| Category | Data & enrichment | Data & enrichment |
| Best for | ||
| Repository | / | / |
Clay and Oxylabs are both credible choices. By community traction, Clay leads (★ 0). Pick Clay for its strengths; pick Oxylabs for its strengths.
Both are credible data & enrichment. By community traction Clay leads (★ 0). Pick Clay for its strengths; pick Oxylabs for its strengths.
Clay is Spreadsheet-style GTM platform that waterfalls 150+ data providers and AI research (Claygent) to enrich leads and build outbound systems.. Oxylabs is Enterprise proxy network plus Web Scraper API that returns parsed data from complex and SERP targets at scale..
Clay has more — ★ 0 vs ★ 0 (live counts).
Often yes — many teams combine data & enrichment. Check each tool's docs for interop; they solve overlapping but not identical problems.
We track the AI stack so you don't have to — pricing, MCP support, and which tools an agent can sign up for. Free.