Miner Report

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.