High-quality human data for AI training, evaluation, and research
How diverse is? records 0 monthly visits with — month-over-month growth and Free pricing. Webotee records 1,685 monthly visits with -34.6% growth and Freemium, Free Trial, Paid pricing.

AI analysis of gender and ethnic diversity in any organization
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | chromewebstore.google.com | webotee.com |
| Pricing Model | Free | Freemium, Free Trial, Paid |
| Monthly Visits | 0 (0) | 1.69K (1,685) |
| MoM Traffic Delta | 0 (—) | -892 (-34.6%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (86.4%) |
| Direct Visits / mo | 0 | 662 |
| User Rating | 3.5 | 4.2 |
| Supported Platforms | Browser Extension | Website |

AI analysis of gender and ethnic diversity in any organization
Submits a page's images to deep-learning models that detect faces and estimate gender and ethnic composition, then returns a summary report.
User results roll up into public breakdowns for sectors including big tech leadership, fintech, banking, VC funds, media, government and non-profits.
The core flow is just entering a URL or running the browser extension on a careers or 'about us' page, with no setup required.
The project publishes its pipeline (extract images, detect faces, classify, report) and openly acknowledges the classifier's limitations and bias.

Amazon seller data, inside your own Claude or ChatGPT
Add Webotee to Claude, ChatGPT, Claude Code, Codex or any MCP client and query more than 90 research tools in plain English instead of learning another dashboard.
Follow price, buy-box and individual seller offers over time, Keepa-style, and ask about them conversationally rather than reading charts.
Ask who else sells a brand, which brands those sellers also win, and whether Amazon itself competes on your listings, using an observed seller-brand network.
Discover private-label niches ranked by observed seller competition and Amazon's own presence, supported by a six-dimension Sourcing Score per ASIN.
High-quality human data for AI training, evaluation, and research
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