Understand the spread of token transfer values
See how transfer values are distributed instead of relying on a single average or a few examples.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Quantile Metric
Why this helps
Averages can hide how transfer sizes are spread, making it harder to describe typical and unusually large activity.
- Summarize a numerical distribution with selected percentiles.
- Compare typical and larger transfers in context.
- Create a clearer basis for research summaries.
Setup
Build it in a few focused steps.
- 1Connect Agility CMS and Bitquery once in the Notis portal.
- 2Create an automation in Automations, New Automation, or tell Notis what to do in plain language.
- 3In one instruction, define the transfer dataset and ask Notis to calculate useful quantiles for the transfer value field, then explain them plainly.
- 4Pick the Notis webhook trigger and choose where run reports should go.
- 5Test with one real dataset and confirm the chosen field, units, and percentile interpretation.
Questions about this workflow
What are quantiles useful for?
They show where values fall within a distribution, which can make typical and larger transfer sizes easier to compare.
Does the action decide which percentiles to use?
Tell Notis which quantiles are useful for your analysis, or ask it to select and label a small set appropriate to the question.
Will this identify suspicious transactions?
No. Quantiles describe a distribution. They do not determine intent or establish that a transaction is suspicious.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
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Agility cms triggers
Bitquery actions
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Connect any two apps with Notis in the middle.
Agility cms and Bitquery, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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