Monitor influencer profiles across Instagram, X, TikTok, and Claude to automatically score authenticity and flag fraud before brand partnerships.
The AI agent ingests influencer handles from Instagram, X, and TikTok to collect profile data and engagement metrics. It applies platform-agnostic analysis and Claude-based behavioral scoring to detect fake followers, bot activity, and suspicious engagement. It outputs a comprehensive authenticity score and risk report, notifies the partnerships team, and logs results for ongoing monitoring.
Vets influencer profiles end-to-end and surfaces risk indicators for brand partnerships.
Ingests influencer data from multiple platforms.
Fetches complete profile data and engagement metrics.
Analyzes follower patterns, engagement quality, and growth velocity.
Applies Claude AI-based behavioral analysis for fraud detection.
Generates a fraud assessment report with risk levels.
Notifies the partnerships team and logs results in the database.
Before: manual, time-consuming influencer vetting across multiple platforms; data inconsistencies across sources; difficulty detecting fake followers and suspicious engagement; delays in approval; lack of a standardized authenticity score. After: standardized authenticity scores across platforms; automated data collection and analysis; centralized auditable reports for each influencer; faster, consistent partnership approvals; and immutable logs for compliance.
A simple 3-step process to vet influencers.
Submit influencer username and platform to begin data collection.
Retrieve profile data and engagement metrics from all platforms and normalize formats.
Run pattern analysis and Claude AI checks to generate a fraud score, report, and notify the partnerships team.
One realistic scenario showing end-to-end processing.
Scenario: A brand wants to vet a TikTok creator 'trendsetter' for a sponsored campaign. Time: about 12 minutes. Outcome: Authenticity score 72, risk MEDIUM, recommendation: REVIEW with notes on suspicious engagement patterns.
Roles across marketing, compliance, and partnerships that rely on trustworthy influencers.
Requires reliable authenticity scores to approve or reject collaborations.
Wants a standardized vetting workflow across campaigns.
Needs auditable reports for regulatory reviews and policy compliance.
Benefits from a scalable vetting process for multiple creators.
Wants risk assessments attached to partner agreements.
Manages risk and contract terms for influencer partnerships.
Connects social APIs, Claude AI, and reporting systems to automate checks.
Fetch profile data, follower counts, and engagement metrics for Instagram influencers.
Fetch profile data and engagement metrics on X.
Fetch profile data and engagement metrics on TikTok.
Perform deep behavioral analysis and anomaly detection.
Send notification reports to partnerships team.
Store and index fraud reports for historical tracking.
Practical scenarios where automated influencer vetting adds value.
Answers to common questions about using the AI agent.
The AI agent ingests influencer data from Instagram, X, and TikTok and can be extended to additional platforms as needed. The workflow fetches profile data, follower counts, engagement metrics, and posting history to build a complete view of each influencer. Results are then normalized into a consistent schema for scoring. We provide clear visibility into where data comes from and how each score is derived, so brands can audit the process.
Authenticity is computed from multiple signals, including follower-to-following ratios, engagement quality, posting regularity, growth velocity, and profile completeness. Claude AI adds a behavioral analysis layer to detect subtle bot-like patterns and coordinated inauthentic activity. The score is presented as a 0-100 metric with a risk level label (LOW/MEDIUM/HIGH). The scoring is designed to be auditable and explainable for partnerships teams.
Yes. You can configure threshold ranges for Low/Medium/High risk and adjust weighting for components like follower quality and engagement quality. The system also supports per-campaign or per-brand overrides. Changes apply to future checks and are logged for compliance. This ensures the scoring aligns with your internal risk appetite.
Data is stored in a structured database with access controls and encryption in transit and at rest. The workflow logs who accessed or modified reports and when. You can enable retention policies to meet internal and regulatory requirements. We also support data anonymization where appropriate to protect influencer privacy.
The AI agent exposes structured reports and events that can feed into common CRM or marketing platforms via API endpoints or webhooks. You can trigger email reports, create records in your CRM, or push insights into dashboards. The integration is designed to be non-disruptive and scalable. It enables centralized visibility without manual data exports.
Turnaround is designed to be fast: most checks complete within minutes, depending on platform API latency and data availability. The pipeline optimizes data retrieval and analysis to minimize waiting time for partnerships teams. If external data is delayed, the system surfaces partial results with a clear caveat and an expected completion time. This allows teams to proceed with early decisions while the full report finishes.
Reports are generated as structured summaries with a detailed analysis section and a final recommendation. They are emailed to designated recipients and saved in the optional database for long-term auditing. You can also export reports as JSON or PDF for stakeholder sharing. All delivery steps are logged for traceability.
Monitor influencer profiles across Instagram, X, TikTok, and Claude to automatically score authenticity and flag fraud before brand partnerships.
