APICONTEXT/features/workflows-and-traces.md
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Workflows and Traces (feature)

Build reusable workflows for high-value journeys. Traverse AI infrastructure, browsers, and APIs with reusable workflows, then record the full details of every step for review, investigation, and OpenTelemetry export.

feature source: static https://apicontext.com/features/workflows-and-traces
3surfaces: AI, browser, API
100%step-level trace detail
OTELreview or export
24/7synthetic journey monitoring
Every event in the journey

From authentication to downstream API dependencies. Captured as a trace.

APIContext records the full journey, including each call, transition, dependency, and result, so teams can investigate failures without storing every packet of production traffic.

Advanced workflows

Build complex journeys across the systems users rely on.

Complex authentication and authorization flows? AI requests that call APIs? Browser interactions with API dependencies? Any journey that matters to you is one APIContext can verify.

  • Reusable workflow steps across APIs, browsers, and AI infrastructure
  • Complex auth, authorization, and dependency handling
  • High-value journey validation from the outside in
Full call details

See the entire path each workflow took.

Every call APIContext makes is fully documented, including the route, timings, result details, and step outcomes, so teams have the information they need to investigate.

  • Trace every step and segment of a workflow
  • Capture result details for each call
  • Filter the journey to find the broken dependency quickly
Only store what you need

Keep focused traces without drowning in traffic data.

Storing all API traffic can be prohibitively expensive. APIContext stores the traces for the synthetic calls it makes, reducing trace volume while preserving the journeys that matter.

  • Store traces for monitored synthetic journeys
  • Reduce noisy production trace volume
  • Review or export focused evidence through OpenTelemetry
Key Features

Everything you need in production.

  • Reusable workflows: Build once, then reuse journey steps for critical production checks.
  • AI infrastructure: Validate workflows that move between AI requests, tools, and APIs.
  • Browser dependencies: Connect browser interactions with the API calls they depend on.
  • Full trace detail: Capture every step, path, timing, and result for investigation.
  • OTEL export: Review traces in APIContext or export them to your existing observability stack.
  • Focused storage: Keep high-value synthetic traces without storing every production call.

Workflow traces export cleanly into OpenTelemetry, APM, incident, and engineering review tools

  • Datadog
  • Dynatrace
  • Splunk
  • Grafana
  • New Relic
  • Honeycomb
  • Akamai
  • PagerDuty
  • Slack
  • OpsGenie
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[Human view](https://apicontext.com/features/workflows-and-traces) · [Markdown view](https://apicontext.com/features/workflows-and-traces.md) · [APIContext home](https://apicontext.com)

# Workflows and Traces \(feature\)

Canonical URL: https://apicontext.com/features/workflows-and-traces
Source: static

Description: Traverse AI infrastructure, browsers, and APIs with reusable workflows, then record the full details of every step for review, investigation, and OpenTelemetry export\.

## Summary
Build reusable workflows for high\-value journeys\. Traverse AI infrastructure, browsers, and APIs with reusable workflows, then record the full details of every step for review, investigation, and OpenTelemetry export\.

## Stats
- 3 surfaces: AI, browser, API
- 100% step\-level trace detail
- OTEL review or export
- 24/7 synthetic journey monitoring

## Page sections

### From authentication to downstream API dependencies\. Captured as a trace\.
Category: Every event in the journey
APIContext records the full journey, including each call, transition, dependency, and result, so teams can investigate failures without storing every packet of production traffic\.

### Build complex journeys across the systems users rely on\.
Category: Advanced workflows
Complex authentication and authorization flows? AI requests that call APIs? Browser interactions with API dependencies? Any journey that matters to you is one APIContext can verify\.

- Reusable workflow steps across APIs, browsers, and AI infrastructure
- Complex auth, authorization, and dependency handling
- High\-value journey validation from the outside in

### See the entire path each workflow took\.
Category: Full call details
Every call APIContext makes is fully documented, including the route, timings, result details, and step outcomes, so teams have the information they need to investigate\.

- Trace every step and segment of a workflow
- Capture result details for each call
- Filter the journey to find the broken dependency quickly

### Keep focused traces without drowning in traffic data\.
Category: Only store what you need
Storing all API traffic can be prohibitively expensive\. APIContext stores the traces for the synthetic calls it makes, reducing trace volume while preserving the journeys that matter\.

- Store traces for monitored synthetic journeys
- Reduce noisy production trace volume
- Review or export focused evidence through OpenTelemetry

### Everything you need in production\.
Category: Key Features

- Reusable workflows: Build once, then reuse journey steps for critical production checks\.
- AI infrastructure: Validate workflows that move between AI requests, tools, and APIs\.
- Browser dependencies: Connect browser interactions with the API calls they depend on\.
- Full trace detail: Capture every step, path, timing, and result for investigation\.
- OTEL export: Review traces in APIContext or export them to your existing observability stack\.
- Focused storage: Keep high\-value synthetic traces without storing every production call\.

### Workflow traces export cleanly into OpenTelemetry, APM, incident, and engineering review tools

- Datadog
- Dynatrace
- Splunk
- Grafana
- New Relic
- Honeycomb
- Akamai
- PagerDuty
- Slack
- OpsGenie

## Key facts
- Reusable journeys
- Full call traces
- AI \+ browser \+ API steps
- OTEL export
- Focused trace storage
- 3 surfaces: AI, browser, API
- 100% step\-level trace detail
- OTEL review or export
- 24/7 synthetic journey monitoring
- Reusable workflows: Build once, then reuse journey steps for critical production checks\.
- AI infrastructure: Validate workflows that move between AI requests, tools, and APIs\.
- Browser dependencies: Connect browser interactions with the API calls they depend on\.
- Full trace detail: Capture every step, path, timing, and result for investigation\.
- OTEL export: Review traces in APIContext or export them to your existing observability stack\.
- Focused storage: Keep high\-value synthetic traces without storing every production call\.

## Primary entities
- APIContext
- Features
- API monitoring
- OpenTelemetry
- Reusable journeys
- Full call traces
- AI \+ browser \+ API steps
- OTEL export
- Focused trace storage

## Audience
- API teams
- SRE teams
- platform teams

## Primary links
- [Start tracing the journeys that matter most\.](/contact)