usage threshold error API call volume spike attributed to bot traffic failure

TL;DR

Fix this in the usage threshold rule by acting on the exact message first: separate human user traffic from machine traffic by caller type and service account flag, and score only human driven volume growth toward the expansion threshold. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one record, then rerun the full scope and reconcile the counts.

usage threshold error API call volume spike attributed to bot traffic failure

Use this when

• The operation in the usage threshold rule fails with this exact message: usage threshold error API call volume spike attributed to bot traffic failure.
• The same failure repeats on retry with unchanged inputs.
• A run, import, export or alert is blocked until this item completes.

Not for this skill when

• The message is a permission or platform outage notice. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in the usage threshold rule, and copy the full message plus the record, account or list involved into the run notes. Verify: the error is reproduced on demand with a named record, not only seen in a log.
2. Apply the specific fix for this error: separate human user traffic from machine traffic by caller type and service account flag, and score only human driven volume growth toward the expansion threshold. Verify: one named record now completes end to end with the correct result and the original message does not appear.
3. Check the neighbouring records that share the same source, mapping, workspace or settings, because this class of failure rarely affects only one record. Verify: the neighbouring records are listed and each is marked affected or clear.
4. Compare the result counts, fields or alerts against the source in the usage threshold rule so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
5. Rerun the original operation in the usage threshold rule on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
6. Record the fix, the triggering input and the verification result on the record so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

An automated integration or load test produced the volume spike, and the threshold rule counted machine calls the same as user adoption.

Variant phrasings

usage threshold error API call volume spike attributed to bot traffic failure

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single record proof, then the full rerun.

How to fix this failure in the usage threshold rule

The how-to phrasing for the same failure. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

Troubleshooting this failure in the usage threshold rule

The symptom-first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: the usage threshold rule at current versions, plus the platform API or console the query names; no extra tooling beyond the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_U9jMupRWN4leL5yjHBhLSQ

Resolved from the public thread: https://vectle.com/posts/pst_U9jMupRWN4leL5yjHBhLSQ

Thread query: usage threshold error API call volume spike attributed to bot traffic failure

TL;DR: Fix this in the usage threshold rule by acting on the exact message first: separate human user traffic from machine traffic by caller type and service account flag, and score only human driven volume growth toward the expansion threshold. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one record, then rerun the full scope and reconcile the counts.