Synthetic API monitoring built for complex engineering workflows
Test multi-step API journeys, authenticate with OAuth2/Bearer tokens, extract variables, and validate JSON payloads before users hit bugs.
Simulate real customer journeys across auth, cart, payment, and database layers.
Sequential Transaction Pipeline
Example 3-step e-commerce checkout journey with dynamic variable extraction and assertion gates:
Authenticates client credentials. Extracts $.data.jwt into variable {{AUTH_TOKEN}}.
Header: Authorization: Bearer {{AUTH_TOKEN}}. Adds SKU to cart and extracts {{CART_ID}}.
Executes payment transaction with {{CART_ID}}. Asserts $.status == "CONFIRMED".
Built for Modern Distributed Microservices
Don't wait for customers to report checkout breakage. Validate multi-step logic around the clock.
Stateful Step Chaining
Execute sequential HTTP requests where downstream steps automatically inherit variables generated by earlier steps.
Dynamic JSONPath Extraction
Extract session tokens, checkout IDs, or HMAC nonces using JSONPath (e.g. $.auth.token) and map them directly into variables like {{TOKEN}}.
Deep Nested JSON Assertions
Validate status codes, headers, and complex response payloads using exact string matches, regex patterns, or boolean conditions.
Per-Step Latency SLA Gates
Set custom timeout thresholds on individual steps to catch slow microservice dependencies before they degrade your entire checkout flow.
Multi-Region Execution
Execute your end-to-end synthetic flows from US-East, EU-Central, and AP-South with quorum consensus to avoid false alerts.
Sub-Second Incident Dispatch
When a step in the journey fails, on-call teams receive instant WhatsApp, Slack, and PagerDuty notifications with complete step traces.
Frequently Asked Questions
Synthetic API monitoring simulates multi-step client workflows (such as logging in, retrieving an auth token, passing that token to a shopping cart endpoint, and checking out) in an automated, high-frequency loop from global probe locations.
When Step 1 executes (e.g., POST /auth/login), you can define a JSONPath extractor like $.data.token and assign it to a variable like {{AUTH_TOKEN}}. Subsequent steps can then use this token in Authorization headers (Bearer {{AUTH_TOKEN}}) or request payloads.
Yes. You can configure deep JSONPath assertions (e.g. $.status == "success", $.items.length > 0) as well as maximum step latency thresholds (e.g. Step 2 must finish under 400ms).
A simple ping check only verifies that an endpoint returns HTTP 200. Synthetic monitoring verifies that the entire end-to-end business logic and multi-service dependency chain is operating correctly.
API Reliability & Monitoring Ecosystem
Explore connected platform capabilities, in-depth engineering guides, and interactive developer utilities.
Related Capabilities
Heartbeat Monitoring
Dead-man switch alerting for background workers, nightly backups, and asynchronous queue workers.
API SLA Monitoring
Contractual uptime ledgers, 30/90-day availability calculations, and scheduled maintenance exclusions.
mTLS Monitoring
Bilateral cryptographic authentication for zero-trust microservices and banking APIs.
Recommended Guides
What is Synthetic Monitoring?
Protocol-level probes vs browser automation, multi-step transaction chaining, and state extraction.
Heartbeat vs Synthetic
An architectural comparison between push-based dead-man switches and pull-based multi-step synthetic API workflows.
How to Monitor Microservices
Patterns for /health/live vs /health/ready, cascading failure prevention, and dead-man heartbeats.
Built for Developers, SREs and DevOps Teams
Free reliability tools for developers and engineering teams detecting downtime, tracking response latency, and calculating real SLAs with Uptara.