Synthetic Monitoring

Multi-Step API Checks: Monitoring Login and Token Flows.

Written by noc724 team3 min readUpdated Oct 18, 2026

Many APIs can't be tested with one request. You first log in, receive a token, call the endpoint with it and sometimes use an ID from that answer in a third call. A multi-step check runs the whole sequence on a schedule and tells you exactly which step broke.

Key takeaways

  • Each step is a request; values extracted from one response feed into the next.
  • Typical flow: authenticate, call a protected endpoint, verify a detail endpoint.
  • Assert on every step, not only the last one, so failures are precise.
  • Store credentials as secrets; use a test account with minimal permissions.
  • Keep flows short and read-only, or clean up anything they create.
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A typical flow

Step 1  POST /api/auth/login        { "username": "monitor", "password": "***" }
        expect 200, extract  access_token = $.token
Step 2  GET  /api/orders?limit=1    Authorization: Bearer {access_token}
        expect 200, expect $.items.length > 0, extract order_id = $.items[0].id
Step 3  GET  /api/orders/{order_id} Authorization: Bearer {access_token}
        expect 200, expect $.id == {order_id}

If step 1 fails, authentication is broken. If step 2 fails with 401, tokens are issued but not accepted - perhaps a key rotation went wrong. If only step 3 fails, the detail endpoint or its database query is the problem.

Extracting values

Most tools use JSONPath-style expressions to pull values out of responses:

ExpressionPicks
$.tokena top-level field
$.data.user.ida nested field
$.items[0].idthe first item's ID in a list

Values can also come from response headers (for example a Location header after a create) or cookies for session-based logins.

Assertions worth adding

  • Status code on every step.
  • Response time per step - a slow login is worth knowing about even when it succeeds.
  • Body content - non-empty lists, expected IDs, a status field set to ok.
  • Headers - Content-Type: application/json, cache headers where they matter.

Security of monitoring credentials

  • Create a dedicated monitoring user with read-only permissions and no personal data.
  • Store its password or API key in the monitor's secret fields; it should not appear in logs or alerts.
  • Prefer API keys or client-credential flows over personal passwords.
  • Rotate the credentials like any other secret, and update the monitor when you do.

Avoiding side effects

Multi-step flows tempt you to test "create order" too. If you must test writes:

  • use a sandbox environment or a test tenant,
  • give created records an obvious marker and delete them in a final step,
  • never trigger real payments, SMS or emails.

Setting it up in noc724

noc724's multi-step API monitoring runs the steps in order, passes values between them, checks assertions on each one and names the failing step in the alert - by SMS, Telegram or Bale - so the first message already tells you where to look.

Frequently asked questions

  • As few as needed to prove the flow works - usually two to four. Each extra step is another place for harmless changes to break the check.

  • Each run logs in again, so expiry between runs doesn't matter. If login is rate-limited, choose an interval that stays well under the limit.

  • Yes. Use a client-credentials request as the first step to obtain an access token, then call the API with it.

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Uptime monitoring engineers

We build and run noc724, an uptime monitoring service that checks websites, servers and APIs from several cities in Iran. These guides come from the problems we and our users run into while keeping services online.

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