Investigate Apipie ai latency from submitted reports
Move from a slow response complaint to performance evidence quickly.
Trigger
New Form Response
Triggers when a respondent completes and submits the form.
Action
Get query history
Tool to retrieve historic api usage logs including latency, token counts, costs, and source ip. use after authenticating to analyze past queries for cost management, performance monitoring, or auditing.
Why this helps
Latency complaints are hard to prioritize without logs that show when and where delays occurred.
- Speeds incident triage
- Adds evidence to performance discussions
- Reduces repeated log hunting
Setup
Build it in a few focused steps.
- 1Connect Typeform and Apipie ai once in the Notis portal.
- 2Create an automation that retrieves query history relevant to each latency report.
- 3Choose the Typeform New Form Response trigger.
- 4Select a report destination, then test with one real incident response.
Questions about this workflow
What should the form capture?
Collect approximate timing, affected model, and any request or environment context available.
Does it change the model?
No. It gathers history for diagnosis.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Typeform to Apipie ai. A trigger fires from one place; an action lands in another.
Typeform triggers
Apipie ai actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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New Form Response
Triggers when a respondent completes and submits the form.
Get query history
Tool to retrieve historic api usage logs including latency, token counts, costs, and source ip. use after authenticating to analyze past queries for cost management, performance monitoring, or auditing.
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Connect any two apps with Notis in the middle.
Typeform and Apipie ai, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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