Compare/Head to head

GitRoll vs Prog.ai

Same facts, side by side: starting price, free tier, MCP, API and what each one is actually built for.

Starting price

GitRoll

Free scan; contact for hiring plans

GitHub-evidence scoring for engineering hiring, with a free scan path and hiring plans sold through the vendor. GitRoll does not publish paid tier prices.

Where GitRoll fits

Engineering hiring teams that want GitHub evidence, not another coding-test vendor
Startups willing to start with a free scan before buying a hiring workspace
Teams sourcing outside the usual FAANG-resume pool
Recruiters who want agentic profiles instead of a static GitHub URL

Prog.ai

Sales-quoted

Prog.ai is a developer graph built from GitHub contributions, covering 60M+ engineers scored across tens of thousands of skills. Platform access is sales-quoted. The Chrome extension is free.

Where Prog.ai fits

Technical recruiters who hire from GitHub more than from job boards
Desks that want Likely-to-Move and scored skills while browsing LinkedIn
Teams building bulk engineer lists to export into an outreach tool
Companies competing with LinkedIn Recruiter on developers who barely keep a LinkedIn

At a glance

Detail	GitRoll	Prog.ai
Starting price	Free scan; contact for hiring plans	Sales-quoted
Free tier	–No	–No
MCP server	–No	–No
Public API	–No	–No
Listed under	Assessments, Interviewing	Sourcing, AI sourcing

Where they pull apart

GitRoll

Stands out: GitRoll scores real GitHub work (CURISM and ACID assessments) instead of resume keywords, aimed at finding undervalued builders in a 150M+ developer graph.

Watch out: GitRoll does not publish a self-serve rate card. Treat hiring seats as a quoted conversation.

Not the right fit for

TA teams that need a printed per-seat rate before a demo
Non-engineering hiring where GitHub evidence does not exist

Prog.ai

Stands out: Likely-to-Move and skill scores come from actual code, not self-reported LinkedIn bullets. The Chrome extension (updated June 2026) overlays those insights on LinkedIn, GitHub, Stack Overflow, and Kaggle.

Watch out: The vendor does not publish a self-serve plan table on getprog.ai. Contact and bulk-list access sit behind a sales conversation. This is software-engineer sourcing, not a general talent graph.

Not the right fit for

Non-engineering recruiting
Buyers who need a published monthly SKU before a demo

Pros and cons

GitRoll

Scores real GitHub work instead of self-reported resume stacks
Free scan path so you can test a profile before buying hiring seats
Company page also offers a placement fee path if you want managed matching

No published paid SaaS rates
Placement fees (0.25% interview, 4.5% of salary) are a different commercial model than seats
Useless for roles with no public code history

Prog.ai

60M+ engineers ranked from GitHub code, not resume keywords
Free Chrome extension on LinkedIn, GitHub, Stack Overflow, and Kaggle
Likely-to-Move plus skill scores from real contributions

Full platform is sales-quoted. No homepage plan table
Engineer-only graph
Native outreach connectors to sequencers are still rolling out

What each one costs

GitRoll

Free scan; contact for hiring plans

A free scan path is the public entry. The for-companies page quotes a 0.25% fee for the initial interview plus 4.5% of the hire's salary on successful placement. No hiring software plans or seat prices are published. Confirm current terms on the vendor site.

Checked 4 Nov 2026

Prog.ai

Sales-quoted

Prog.ai does not publish a plan table on getprog.ai. The Chrome extension is free. Full database, contacts, and bulk list access are quoted. Request a conversation from the site. Confirm current terms on the vendor site.

Checked 4 Nov 2026

Common questions

Can you try GitRoll or Prog.ai for free?

Neither carries a free tier on our listing.

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Editorial listings, never paid rankings. Prices checked 4 Nov 2026. Confirm current terms on the vendor site. Spot an error?