Miner Report
A jupyter Notebook to collect neuron registration information
This Jupyter Notebook takes an array of Coldkeys, finds every neuron registration, and generates a report.
In Cells 1&2 of the notebook, insert your api key, and the Coldkeys you wish to examine:
api_key = ""
coldkeys =[]
Cells 3&4 are functions to help with hex-> SS58 address conversion and a datetime fixer.
Cell 5:
Our first API call - loops through the extrinsics API until we have retrieved every extrinsic for your coldkeys. If you have fairly prolific cokdkeys, you may want to add a time.sleep here to avoid getting rate limited.
All extrinsics are now saved in all_extrinsics.
cell 6 : Calculates the number of extrinsics
Cell 7: Used to see formatting of the various calls that might be made for a miner.
Cell 8:
Collect data on neuron registrations:
- Loop through all the extrinsics. If there is a registration AND it was successful
- Find the next de-registration event for the hotkey. Now we can find how long the hotkey was registered on the network.
- Find how much the registration cost was (from the events)
- Find the price at the time of registration.
- With the cost in tao, and the price in $$, we know how much expense was made to register the neuron.
- Add a sleep to avoid getting rate limited
From this cell we have a lot of data about our miner/validator registrations.
We can make charts, find average times of registration, and sum up all the costs.
Updated about 1 month ago