Telemetry built for agents.
Give your coding agent a prompt, an API key, and skill.md. It can instrument structured logs fast, while humans stay aligned with dashboards, charts, tables, and alerts.
Free plan included — no credit card required. Works well with Claude, Codex, Cursor, and custom agents.
Agent-native workflow
Give the agent the setup. Keep the humans on the signal.
Telemetry is built for the handoff. Agents can instrument real workflows fast, and your team gets dashboards, tables, and alerts that make the output legible.
Agent Prompt
Point your agent at skill.md, hand it an API key, and let it wire the first structured events without a long setup doc.
Structured Events
Capture clean snake_case fields for status, latency, identifiers, costs, and errors so the resulting tables stay easy to query.
Readable Dashboards
Turn agent-written logs into charts and tables that operators, founders, and teammates can scan in seconds.
Alerts
Track the metrics your agents add and notify the team when latency, failures, or costs move out of bounds.
Query API
Agents and humans can run SQL on the same data when dashboards need deeper investigation or custom reports.
Shared Workspace
Saved dashboards, queries, and tables give automation and operators one source of truth instead of fragmented scripts.
Popular setup paths
Start from the question you need answered
Send your agent into the repo with a focused brief for the growth, AI cost, reliability, or revenue signals you want available historically.
Claude Code Observability
Give Claude Code a prompt that makes telemetry part of the implementation pass instead of a separate cleanup project.
Open setup pageCursor Telemetry Setup
A copyable setup prompt for adding event tables, funnel tracking, and dashboards from inside Cursor.
Open setup pageCodex Instrumentation Prompt
A focused prompt that asks Codex to instrument the rest of the product, verify events, and summarize coverage gaps.
Open setup pageOpenAI Cost Tracking
Track LLM calls by model, feature, user, cost, latency, error rate, and outcome so growth does not hide margin problems.
Open setup pageDatadog Alternative for Startups
Use structured event tables and SQL dashboards when you want clear product answers without a heavyweight observability rollout.
Open setup pageProduct Analytics for Retention
Use agent-installed structured events to learn which early actions create returning users and revenue-ready teams.
Open setup pageAI Agent Observability
Track agent runs, tool calls, retries, latency, model cost, failures, and accepted outcomes in SQL-ready event tables.
Open setup pageBackground Job Monitoring
Use structured events to see job throughput, retries, failures, dead letters, queue health, and p95 duration.
Open setup pageWebhook Debugging
Track webhook delivery, processing, retries, deduplication, downstream jobs, and failures without storing raw payloads.
Open setup pageAPI Reliability Monitoring
Track API request volume, status codes, latency, timeouts, customer impact, and failed endpoints with SQL.
Open setup pageCrypto And Onchain Automation Monitoring
Track indexed events, agent actions, transaction costs, wallet workflows, tool calls, and failed automation jobs.
Open setup pageInfrastructure Metrics With SQL
Send structured infrastructure events when you need queryable host and container history without a large monitoring rollout.
Open setup pageDeveloper entry points
Start where the production pain already is
Use focused templates and integration guides for AI agents, background jobs, APIs, webhooks, and event pipelines.
Templates
Ready-to-use monitoring patterns
Integrations
Instrument the tools already in your stack
Comparisons
Choose the right telemetry approach
From agent-written logs to useful exploration
Once your agent starts sending structured events, filter, aggregate, and visualize them in real time. The point is not just logging more. It is making the data explorable right away.
Dashboards humans can actually use
Agents can seed a high-level dashboard, then operators and teammates can scan charts and tables for health, throughput, latency, failures, and trends.
Ask questions about the telemetry your agent created
Describe the view you want in natural language. Telemetry understands the schema, helps produce SQL, and gets you from raw events to a usable chart faster.
Alerts for the signals that matter
Once key workflows are instrumented, define thresholds on error rate, latency, queue health, or AI cost and keep humans informed before issues compound.
One workspace for humans and agents
Agents can create tables, queries, and dashboards. Humans can review, refine, share, and act on the same artifacts without losing context.
Start with a prompt, not a setup doc
Copy this into Claude, Codex, Cursor, or your own coding agent. The prompt points to skill.md, asks the agent to instrument the project with structured logs, and asks it to create a high-level dashboard with charts and tables.
Paste this into your coding agent
Instrument this project with structured logs using /skill.md.
Use this Telemetry API key: YOUR_API_KEY
Please:
1. Find the most important user-facing flows, background jobs, and AI/tooling workflows.
2. Add structured logging with pragmatic snake_case tables and fields.
3. Capture the key signals for each workflow, including status, latency, identifiers, and error context when relevant.
4. Send test events to Telemetry and verify that ingestion works.
5. Create a high-level dashboard with charts and tables that summarize the most important signals in this project.
6. Tell me what you instrumented, which tables you created, and which dashboard views I should review first.
Prefer small, composable events over giant payloads, and optimize for dashboards that humans can scan quickly.YOUR_API_KEY after signup and let the agent do the first pass.Humans can come back to refine the schema, add alerts, or expand the dashboard once the first workflows are visible.
Trusted by builders
Teams use Telemetry to turn raw structured events into something humans can actually understand.
“Telemetry makes it super easy to track, analyze, and visualize what's going on in my business. It's the perfect mix of simple and powerful.”
Namu Kang
Founder, Browserflow
“Telemetry is one of the easiest ways to go from dumping in your data to actually understanding it.”
Shayan Taslim
Founder, LogSnag
“Telemetry is my go-to for dumping logs and tracking events. It's straightforward, the SQL workbench is fast, and I don't have to worry about the schema upfront. Running SQL over a REST API lets me fetch data and dump reports straight to Slack. It's the essentials of what Sentry did for me.”
Prem Viswanathan
Founder, SwiftCX
Give the agent the prompt. Give the team the dashboard.
Telemetry is the handoff layer between automated instrumentation and human-readable operations.