The Manual Check Problem
Manual vetting fails for three reasons:
- It doesn't scale. 10-15 minutes per profile. At 100 influencers/month, that's 25+ hours of pure vetting time.
- It's inconsistent. Different team members check different things. Quality depends on who reviews which creator.
- It misses what humans can't see. Engagement pods, AI-generated bot comments, and purchased followers with realistic profiles pass visual inspection.
The API-First Solution
VouchGrade's API lets you embed authenticity scoring directly into your onboarding workflow. The check happens automatically between discovery and contract.
Basic Integration
curl -X POST https://api.vouchgrade.com/v1/score \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"platform": "instagram", "handle": "creator_handle"}'Response includes:
- score — 0-100 overall authenticity rating
- sub_scores — six component scores (audience, engagement, network, growth, content, bot probability)
- red_flags — specific issues detected (engagement pods, bot clusters, etc.)
- analysis_minutes — processing time
Workflow Integration
Typical agency workflow with API automation:
- Discovery: Team finds 50 potential creators
- Automated vetting: API checks all 50 overnight
- Filter: Remove creators with score < 60 or specific red flags
- Deep review: Manual review of remaining 25-30
- Sign: Contract with vetted creators
Result: 80% time reduction, consistent standards, and fraud detection that scales.
Bulk Operations
curl -X POST https://api.vouchgrade.com/v1/score/bulk \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{"creators": [
{"platform": "instagram", "handle": "creator1"},
{"platform": "instagram", "handle": "creator2"}
]}'Process 100 creators in a single batch. Results delivered via webhook or polling endpoint.