Telemetry
Use cases

Choose the behavior or failure mode you need to understand

Explore Telemetry setup paths for AI agent quality, usage billing, security audit logs, retention, APIs, webhooks, jobs, infrastructure, and onchain automation.

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Use cases

Claude Code Observability

Give Claude Code a prompt that makes telemetry part of the implementation pass instead of a separate cleanup project.

Open use case

Cursor Telemetry Setup

A copyable setup prompt for adding event tables, funnel tracking, and dashboards from inside Cursor.

Open use case

Codex Instrumentation Prompt

A focused prompt that asks Codex to instrument the rest of the product, verify events, and summarize coverage gaps.

Open use case

OpenAI Cost Monitoring

Monitor OpenAI and LLM spend by model, feature, customer, latency, error rate, and outcome with SQL dashboards and budget alerts.

Open use case

Product Analytics for Retention

Use agent-installed structured events to learn which early actions create returning users and revenue-ready teams.

Open use case

AI Agent Telemetry and Observability

Instrument AI agent telemetry for runs, tool calls, retries, latency, model cost, failures, and accepted outcomes in SQL-ready event tables.

Open use case

Background Job Monitoring

Use structured events to see job throughput, retries, failures, dead letters, queue health, and p95 duration.

Open use case

Webhook Debugging

Track webhook delivery, processing, retries, deduplication, downstream jobs, and failures without storing raw payloads.

Open use case

API Reliability Monitoring

Track API request volume, status codes, latency, timeouts, customer impact, and failed endpoints with SQL.

Open use case

Crypto And Onchain Automation Monitoring

Track indexed events, agent actions, transaction costs, wallet workflows, tool calls, and failed automation jobs.

Open use case

Infrastructure Metrics With SQL

Send structured infrastructure events when you need queryable host and container history without a large monitoring rollout.

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Usage-Based Billing Analytics

Build a defensible usage ledger, quota dashboard, overage workflow, and billing reconciliation from idempotent structured events.

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Security and Audit-Log Analytics

Design privacy-aware security events for authentication failures, access changes, privileged actions, and incident timelines.

Open use case

AI Agent Security Monitoring

Monitor tool authorization, policy denials, approval queues, risky action classes, and release changes without storing prompts, credentials, or tool payloads.

Open use case

AI Agent Quality and Evaluation

Connect agent runs, reviewer outcomes, human handoffs, cost, and release changes to a repeatable quality-evaluation workflow.

Open use case

Database Reliability Monitoring with SQL

Track safe query fingerprints, pool pressure, transaction rollbacks, lock contention, replication lag, and migration outcomes without collecting raw SQL parameters.

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Frontend Performance Monitoring with SQL

Track typed LCP, INP, and CLS samples by stable route and release, then use SQL to find frontend regressions without collecting raw URLs or page content.

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Kubernetes Reliability Monitoring with SQL

Track Kubernetes workload transitions and application outcomes together so SQL can separate planned rollout activity from repeated restarts and serving impact.

Open use case

SaaS Revenue Analytics with SQL

Build an auditable SaaS revenue model from subscription movements, invoices, entitlements, and product outcomes instead of relying on disconnected billing snapshots.

Open use case

Telemetry Data Quality Monitoring with SQL

Monitor event freshness, required fields, types, duplicates, schema versions, and volume so broken instrumentation is found before it becomes a misleading business or reliability metric.

Open use case

How to choose

Pick the resource closest to the decision you need to make

Start from the failure mode

Choose API, job, webhook, infrastructure, or agent monitoring when the immediate goal is operational reliability.

Start from the business outcome

Choose activation, retention, or AI cost tracking when the decision is about product value, revenue, or margin.

Verify one workflow first

Instrument a single end-to-end path, send synthetic success and failure events, and review the first query before expanding.

Start with one workflow

Give your coding agent the context and verify real events

Create a free API key, choose the closest resource, and ask the agent to run the flow before it considers the instrumentation done.

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