Scale records 616,915 monthly visits with +12.5% month-over-month growth and Contact for Pricing pricing. xData records 0 monthly visits with — growth and Free pricing.
The data, evaluations and systems behind AI that has to be right.
Collect X data, power AI, earn $Wafer
| Dimension / Metric | | |
|---|---|---|
| Official Domain | scale.com | chromewebstore.google.com |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 616.92K (616,915) | 0 (0) |
| MoM Traffic Delta | +68.69K (+12.5%) | 0 (—) |
| Primary Market & Share | 🇺🇸 United States (44.2%) | 🌐 Global (—) |
| Direct Visits / mo | 191.41K | 0 |
| User Rating | 4.7 | 3.8 |
| Supported Platforms | Website | Browser Extension |
The data, evaluations and systems behind AI that has to be right.
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
Collect X data, power AI, earn $Wafer
Collect content data directly on X (Twitter) while you browse, without leaving your normal workflow.
Get compensated in $Wafer tokens for the data you contribute to the DIN network.
The extension plugs your browser into DIN, a modular AI-native data pre-processing layer.
A lightweight, user-friendly Chrome extension designed to make data contribution accessible.
SpecialistStreamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks.
SpecialistStreamlines computer vision dataset annotation and model training, but is less suited for general LLM text tasks.
Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business.
Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business.
One browser agent that combines every major AI model with web automation
Agentic web scraper that turns any page into ready-to-use data
Agentic web scraper that turns any page into ready-to-use data
Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces.
Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
SpecialistFocuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
SpecialistFocuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads.
Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads.
Free / Open-sourceOffers a flexible open-source alternative for custom data labeling and human-in-the-loop annotation pipelines.
Free / Open-sourceOffers a flexible open-source alternative for custom data labeling and human-in-the-loop annotation pipelines.
SpecialistBuild, simulate, evaluate and monitor self-improving AI agents
SpecialistBuild, simulate, evaluate and monitor self-improving AI agents
SpecialistProvides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
SpecialistProvides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
SpecialistConnects developers with verified human participants for RLHF and model evaluation studies instead of managed labeling.
SpecialistConnects developers with verified human participants for RLHF and model evaluation studies instead of managed labeling.
