How do their growth rates compare?

Prolific has a month-over-month growth rate of -1.8%; Refraction has +6.5%.

How does pricing compare?

Prolific: Paid. Usage-based for requesters: you pay participant rewards plus a platform fee, with custom quotes for large or managed programmes. Participants earn per completed study; joining is free. Refraction: Freemium, Free Trial, Paid, Contact for Pricing, Free. Freemium with a 7-day free trial on paid plans. Hobby is free (one user, 10 code generations). Pro costs $8/month or $80/year for one user with unlimited generations, unlimited history and editor extensions. Team is $14 per user per month or $140 per user per year and adds shared history, unified billing and team management. Enterprise pricing is custom and includes SSO, SCIM, advanced permissions, audit logs and dedicated support. Yearly billing saves 15% and no refunds are offered, though you can cancel anytime.

What are alternatives to Prolific and Refraction?

Other tools in related categories include Cursor, VS Code, Qoder, Branded, Command Code.

Prolific vs Refraction — Traffic (18.7M vs 2.38K), Pricing & Verdict

Open AI Tools

Prolific vs Refraction — Traffic (18.7M vs 2.38K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Prolific	$Refraction logo$ Refraction
Official Domain	prolific.com	refraction.dev
Pricing Model	Paid	Freemium, Free Trial, Paid, Contact for Pricing, Free
Monthly Visits	18.7M (18,697,671)	2.38K (2,383)
MoM Traffic Delta	-352.04K (-1.8%)	+146 (+6.5%)
Primary Market & Share	🇺🇸 United States (48.8%)	🇮🇳 India (70%)
Direct Visits / mo	12.98M	928
User Rating	4.6	4.4
Supported Platforms	Website	Website

Prolific

High-quality human data for AI training, evaluation, and research

Verified, targetable participant pool

Filter participants by detailed demographic, professional, and behavioural criteria and reach narrow or representative samples rather than a generic crowd.

AI data and human feedback

Collect human preference data for model fine-tuning, run safety evaluations and red-teaming, and use a feedback API to plug humans into automated pipelines.

Built-in data-quality controls

Attention checks, honesty screening, and approval workflows help filter out careless or fraudulent responses before you analyse results.

Fast study launches

Publish a study and begin collecting responses quickly, with tooling that supports screening, quotas, and longitudinal designs.