Trust API
Create job fraud verification API
Flag scam or manipulated job posts before they go live — detect fake employers, inflated roles, phishing links, and high-risk patterns in real time.
Protect your platform before risks reach users
The job fraud verification endpoint analyses content, employer signals, salary anomalies, domains, and reputation data to score risk and explain why a posting is unsafe. Stop brand damage, reduce support tickets, and keep candidates safe — automatically.
What you can do with job fraud verification
- Score job posts in real time and block high-risk listings pre-publish.
- Detect fake companies, cloned brands, and unverifiable employers.
- Identify phishing links, throwaway domains, URL shorteners, and redirects.
- Catch salary/benefit anomalies and unrealistic role requirements.
- Explain decisions with reasons and signals for your moderation UI.
- Route edge cases to reviewers via webhooks or queues.
Job fraud verification features
- NLP content analysis with fraud pattern detection and policy rules.
- Employer reputation checks (domain age, WHOIS, SSL, brand match).
- Scam link & domain intelligence with ongoing updates.
- Region-aware salary/benefit sanity checks.
- Transparent risk score with reason codes and confidence levels.
- Sync or async modes, with webhooks for bulk ingestion.
- SDKs, clear docs, and sample moderation UIs to copy.
Why choose Ruvia?
- Accuracy that improves with usage — a shared threat graph across platforms.
- Fast integration and real developer support.
- Security-first: encryption, audit logs, GDPR/CCPA aligned.
- Scales from startups to millions of checks per month.
- Transparent, usage-based pricing with flexible credits.
“At GoHire we process thousands of job postings every month, and fraudulent ads were becoming a real risk to both our clients and candidates. Since integrating Ruvia’s Trust API, we automatically block 98% of scam job postings before they go live. It’s seamless, highly accurate, and gives us a huge competitive edge in building trust with our customers.”
Chris Smith
Co-Founder at GoHire
Frequently asked questions
How does job fraud verification work?
We combine text analysis, employer reputation checks, salary/benefit sanity rules, and link/domain intelligence to return a risk score with reason codes. You can block, review, or allow based on thresholds.
What signals are used to flag risky posts?
Signals include domain age and ownership, SSL status, brand mismatch, phishing/redirect links, unrealistic compensation, vague role details, contact method anomalies, and past abuse patterns.
Is it real time and region-aware?
Yes. Typical responses are sub-second for standard checks. Region-aware salary ranges and policy rules adjust by country/locale to reduce false positives.
How do you handle false positives?
You control thresholds and can route “review” cases to moderators. We return reason codes and features so your team can override or whitelist safely, and learning improves over time.
How is this priced?
Pricing uses our credit model (1 credit = £0.01). Each verification consumes credits based on depth of checks. See the pricing page for current per-call credits and tiers.
Can I test before integrating?
Yes. New accounts include free trial credits and a sandbox key. You can test with your own job posts and review the reasons returned for each decision.
What about privacy and compliance?
All traffic is encrypted in transit and at rest. We minimise data retention, support EU data residency, and align with GDPR/CCPA. See our security page for details.