How Shingo Works

Shingo connects to your billing, analytics, error tracking, and product data through read-only API keys. No SDK installation. No code changes. No agents running in your infrastructure. Setup takes less than 5 minutes per data source.

• Stripe, PostHog, Amplitude, Mixpanel, Sentry, Segment, and more
• Database connectors for PostgreSQL, MySQL, and BigQuery (read-only users)
• All keys encrypted at rest and in transit

Raw event streams are compressed into behavioral patterns. Shingo processes thousands of user sessions per run, identifying sequences of actions that lead to specific outcomes (conversion, churn, upgrade, downgrade).

• 12,000+ sessions analyzed per run
• Cross-source correlation: billing events + product behavior + errors
• Noise reduction: filters out patterns that don't affect revenue

Each behavioral pattern is mapped to its revenue outcome. Shingo connects the dots between what users do and what happens to your revenue, not as a correlation but as a causal chain with evidence at every step.

• Maps user journeys end-to-end across billing and product data
• Tracks revenue impact per pattern (MRR at risk, expansion blocked, churn accelerated)
• Segments by cohort: new users, power users, enterprise accounts

This is the core differentiator. Instead of showing correlation dashboards, Shingo runs causal inference to identify the actual technical cause of revenue changes. A library update that broke mobile validation. A permission gate that blocks checkout. A timeout that kills the payment flow.

• 94% average causal confidence score
• Distinguishes cause from correlation using counterfactual analysis
• Traces root causes to specific code changes, deploys, and configurations

Each finding is packaged as an execution package: the root cause, the revenue at stake, the affected users, and an engineer-ready fix with code context. Delivered as a GitHub issue, Linear ticket, or Slack message.

• Auto-creates tickets in GitHub Issues or Linear
• Priority labels based on dollar impact
• Includes file references, code context, and suggested fix