Employment Verification API

CV Validation API

Validate candidate CVs at scale with AI. Detect timeline gaps, contradictory claims, inflated experience, and formatting red flags — before you invest in interviews.

<3sAvg response
99.9%Uptime SLA
AINLP powered
CV Validation Report ANALYSED
Timeline Consistency94%
Skill Relevance88%
Gaps Detected2
ContradictionsNONE
Overall VerdictSTRONG
ISO 27001 Certified 256-bit Encryption Real-Time Response REST & SDK Support Made in India
Overview

What is CV Validation?

An AI-driven API that parses, analyses, and scores a candidate's resume for authenticity, consistency, and role fit — all in a few seconds.

Timeline Detection

Flag gaps, overlaps, and inflated tenures automatically in every resume.

NLP-Powered Parsing

Extract structured data (skills, companies, education) from any resume format.

Risk Scoring

Get a 0–100 authenticity score to prioritise which CVs need manual review.

Key Benefits

Screen Faster, Hire Better

10x Faster Screening

Screen hundreds of CVs in seconds and focus recruiter time on high-signal candidates.

Objective Scoring

Reduce bias and personal judgement with consistent, data-driven scoring.

Fake CV Detection

Catch fabricated experience before you invest in interviews and offer cycles.

Structured Output

Get JSON with name, experience, skills, education, and scores — ready for your ATS.

Use Cases

Where It Shines

Recruitment
ATS Enrichment
Talent Matching
Executive Search
How It Works

Three Steps to Integration

From sandbox to production in under 24 hours — no paperwork, no waiting.

1

Get API Key

Free sandbox access in a minute.

2

Upload CV

Send PDF/DOCX or raw text. Get scored, structured output in seconds.

3

Integrate

Plug into your ATS or job portal with our SDKs.

Sample Request

Structured Output, Ready for ATS

POST /v1/employment/cv/validate
// Request (multipart or base64) curl -X POST "https://api.cgpey.com/v1/employment/cv/validate" \ -H "Authorization: Bearer YOUR_API_KEY" \ -F "file=@resume.pdf" \ -F "job_role=Senior Backend Engineer" // Response { "status": "success", "data": { "name": "Rahul Sharma", "total_experience_years": 8.4, "timeline_score": 94, "skill_relevance_score": 88, "gaps": ["2021-03 ? 2021-06", "2018-09 ? 2018-12"], "contradictions": [], "verdict": "STRONG" } }
FAQ

Frequently Asked Questions

PDF, DOCX, and TXT. You can also send raw text via JSON for pre-parsed CVs.
Yes — English and Hindi are supported for CV parsing. Additional Indian languages are on the roadmap.
By default, no. We return the analysis and discard the CV. Optional secure storage is available.
Yes — Enterprise plans allow model tuning against your historical hiring data.

Ready to integrate?

Get your sandbox credentials in seconds. Talk to our team to go live in production within 24 hours.