Maintain authentic user reviews
Detect fake reviews, rating manipulation, and coordinated campaigns by analyzing reviewer identity signals, posting patterns, and device data.
Reviewer identity scoring
Score each reviewer's email, IP, and device to filter out disposable or suspicious accounts.
Posting pattern analysis
Detect bursts of reviews from correlated devices or IPs targeting the same product or listing.
Sentiment anomaly detection
Flag review batches with unusually uniform ratings or templated language patterns.
Cross-platform correlation
Link reviewer accounts across properties using device fingerprints and email intelligence.
WebAPI implemented our fraud detection suite to reduce account abuse by 62% during peak hours.
Read StoryUptime guarantee for all API endpoints.
Response time across all endpoints.
Build your own review manipulation rules
Combine email, IP, domain, and device signals into custom rule sets. Use thresholds, allowlists, and velocity counters to match your exact risk model.
Automate your review manipulation response
Evaluate risk and trigger actions in the same API call. No polling, no queue delays.
Inline decisions
Get allow/deny/challenge verdicts in <50ms to enforce policy within your existing auth flow.
Conditional step-up
Trigger MFA, CAPTCHA, or manual review based on risk score thresholds you define.
Webhook events
Push risk events to Slack, PagerDuty, or any HTTP endpoint for real-time team visibility.
Full visibility into review manipulation
Query, filter, and visualize every scored event. Drill down from aggregate trends to individual requests.
Request explorer
Search and filter scored events by risk level, endpoint, IP, email, or any metadata field.
Correlation graphs
Map relationships between accounts, devices, IPs, and payment methods in a single view.
Audit trail
Full request/response logs with timestamps, scores, and applied rules for every API call.
Dry-run mode
Test new rules against live traffic without enforcement. Compare expected vs. actual outcomes.
Layered intelligence for review manipulation
Every API call returns structured risk data. Combine multiple signals for higher-confidence decisions.
Risk scores
0-100 scores per endpoint: email risk, domain risk, IP threat level. Use individually or combine.
Velocity counters
Track event counts, sums, and rates per user, device, or IP over sliding time windows.
Device intelligence
Persistent fingerprints that survive cookie clears, incognito mode, and storage resets.
Bot classification
Classify traffic as human, automated, or headless based on browser signals and request patterns.
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