Free local engineering workbench
API and Webhook Diagnostic Workbench
Inspect integration evidence without first pasting production payloads into a remote diagnostic service.
Make the message inspectable before making it shareable.
Use this workbench to parse JSON or a raw HTTP request, response, or webhook delivery; identify structural and protocol signals; and create a redacted preview for careful human review.
It checks syntax, message direction, content-type alignment, duplicate singleton headers, webhook authenticity and replay evidence, retry guidance, status/error mismatches, sensitive URL parameters, and likely secret or personal-data fields.
Inspection summary
Diagnostic findings
Redacted preview
Read this result in context
This is an initial troubleshooting aid, not proof of security, authenticity, schema compatibility, regulatory compliance, successful delivery, or correct business processing. It cannot inspect network behaviour, server configuration, cryptographic verification, retries, ordering, timeouts, downstream effects, or data that is not in the sample.
Use of this summary is subject to Atemon's Terms of Use.
Useful evidence without pretending a payload is the whole system.
A message can be valid JSON and still fail authentication, contract validation, idempotency, ordering, timeout, retry, or downstream processing.
The workbench separates structural observations from operational interpretation. Findings explain what the sample supports, what evidence is absent, and the next check a team can perform across sender, gateway, receiver, queue, logs, and business state.
A disciplined integration investigation asks
- Which system created the message and which system observed it?
- Is there one correlation or event identity across every boundary?
- What is authenticated, signed, retried, deduplicated, and acknowledged?
- Do transport success and business-processing success agree?
- Can the smallest synthetic case reproduce the behaviour safely?
Hands-on engineering with operational judgment.
Atemon helps teams diagnose critical integration failures, clarify system boundaries, improve API and event contracts, and carry fixes through engineering and production operations.
This workbench exists because privacy-conscious troubleshooting is an engineering capability—not a disclaimer added after sensitive data has already left the organisation.
Bring us the integration problem.
Tell us what is failing, where it is observed, and what is at stake. We respond within 24–48 hours.