Understand activity distributions with percentiles
See how activity is distributed, rather than relying on a single total or average.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Quantile Metric
Why this helps
Averages alone can hide how widely activity varies, making it harder to understand what is typical.
- Calculate requested percentiles using Bitquery's quantile metric.
- Review distribution patterns on a schedule.
- Get a plain-language explanation of the selected quantiles.
Setup
Build it in a few focused steps.
- 1Connect Ai ml api and Bitquery once in the Notis portal.
- 2Create an automation in Automations, New Automation, or tell Notis the outcome you want from any channel.
- 3In one instruction, name the numeric field, chain, query scope, and percentiles to calculate.
- 4Pick a recurring weekly schedule and choose where run reports should go.
- 5Test with one real query and confirm the percentiles refer to the intended field.
Questions about this workflow
What does a quantile tell me?
A quantile helps describe the distribution of numerical values, such as selected percentile points.
Which percentiles will it calculate?
Specify the percentile points you want in the instruction.
Can it compare with a prior week?
Ask for both time periods. Notis can summarize the returned values, but a baseline must be specified if it is not present in the data.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Ai ml api to Bitquery. A trigger fires from one place; an action lands in another.
Ai ml api triggers
Bitquery actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Database Selection
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Network Selection
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Connect any two apps with Notis in the middle.
Ai ml api and Bitquery, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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