Telemetry
For teams that depend on Stripe, GitHub, customer, or provider webhooks

Webhook Debugging

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

Reviewed by the Telemetry product team on . Event contract, recommended analysis, and privacy boundaries. Review standards and ownership

Why this works
  • See failures by provider, event type, endpoint, and downstream job.
  • Measure retry and duplicate rates from real webhook processing events.
  • Create an audit trail that helps debug revenue and integration issues.
Use-case evidence path

Webhook Debugging: from implementation to decision

A complete webhook debugging measurement loop connects one owned workflow, a bounded event contract, a controlled fixture, and a question someone can act on.

  1. 1

    Set the boundary

    Log webhook_received, webhook_processed, webhook_failed, and webhook_retried.

  2. 2

    Capture the outcome

    Begin with webhook_received, webhook_processed, webhook_failed and document the grain of each event.

  3. 3

    Prove the rows

    Create alerts for repeated failures, retry spikes, and processing latency.

  4. 4

    Make the decision

    Which webhook event types fail most often?

Use case versus template

This page explains what to measure and why

Use the use-case guide to choose outcomes, event boundaries, and analysis questions. Open the matching template when you are ready for a shorter copy-paste implementation brief.

Open Webhook Debugging Template

Agent prompt

Paste this into your coding agent

Replace YOUR_API_KEY after signup, then ask the agent to run the product flow and verify the first events.

agent prompt

Webhook Debugging setup prompt

text
Instrument webhook debugging with Telemetry.

Use /skill.md and this Telemetry API key: YOUR_API_KEY

Please log webhook_received, webhook_processed, webhook_failed, webhook_retried, and webhook_deduplicated. Include provider, event_type, route_template, status, status_code, latency_ms, attempt, idempotency_outcome, downstream_job_count, team_id, and error_type.

Create queries for volume by provider, failures by event type, retry rate, duplicate rate, p95 processing time, and latest failed webhooks.

Do not log raw webhook bodies, signatures, secrets, payment details, or personal data.

Setup steps

  1. 1Log webhook_received, webhook_processed, webhook_failed, and webhook_retried.
  2. 2Capture provider, event type, status, latency, attempt, and idempotency outcome.
  3. 3Connect downstream jobs or billing syncs triggered by each webhook.
  4. 4Create alerts for repeated failures, retry spikes, and processing latency.

Events to capture

webhook_receivedwebhook_processedwebhook_failedwebhook_retriedwebhook_deduplicatedbilling_sync_failed

Questions unlocked

  • Which webhook event types fail most often?
  • Are retries fixing failures or creating duplicates?
  • Which downstream systems are affected by provider delays?

Event schema starting points

Review the row grain, emit boundary, required types, privacy classes, example payload, and validation checklist before adapting a query or snippet to production.

Related product capability

Continue this workflow in Alerts

Promote the reviewed reliability query into an owned threshold and response workflow.

Related SQL recipes

Answer the next question with SQL

Run the query against the structured fields from this workflow, inspect the example result, and turn a useful answer into a dashboard or alert.

Browse all recipes
Complete collectionsWebhooks SQL

Customer evidence

Related workflows described by customers

Next step

Create the API key your agent will use

The free plan is enough to run the prompt, send test events, and review the first dashboard.

Related pages