Jointl vs Xref Reference Checking

Jointl describes itself as an AI-powered people intelligence layer for evidence-backed evaluation, reference checking, verification, matching, employee signals, team feedback, and exit insight. Its Flows can collect answers, run assessments, request references, verify signals, score results, trigger follow-ups, and summarize evidence. Teams can set criteria such as skills, experience, values, requirements, and references to produce a Matching Score and intelligence profile. Applicants can enroll themselves through public Autopilot links, while rules can move candidates based on scores, responses, and knockout criteria. Listed use cases include hiring, staffing, tenant screening, client checks, education admissions, and employee insight cycles. Jointl names integrations including Zapier, ChatGPT, Claude, BambooHR, Greenhouse, Workday, and others, and offers direct API access for internal systems and custom workflows. Its stated security measures include encryption in transit, hashed and salted passwords, 2FA, SSO, and regular backups. Ultra costs $99 a month, or $999 billed annually. Enterprise pricing is available through sales; Public Profiles and Verifications are marked beta.

Xref Reference Checking has no write-up on Specifiction yet; its figures are above.