SybilChecks 0.0.3

make first and simple checks for donnors relations to grantees/other donnors on public funding rounds on WEB3

Sybil Checks Package

pip install SybilChecks

from SybilChecks import checks

Intro

This package was developed during ODC Data Builders Hackathon on Jan-2023, OpenData Community . It intends to make it easier to do first basic checks on donors of public funds rounds. It can integrate systems of risk analysis as a ‘Lego’ for feature engineering or as a start for further data analysis on wallets. It cointans 5 functions, 4 of them tests behaviours and flags booleans outputs for the behaviour tested ,and 1 returns a dataset of historical transactional data till the current date.

The idea is to make it easier to do basic tests around participants and flags suspicious behaviours that could culminate in Sybil identification.

How it works

The package was created using Covalent API therefore it is imperative that the users get an <api_key> , as it is a necessary variable on every function.

Functions variables :
wallet_id = type: ‘str’ , wallet address that will be evaluated
api_key = type: ‘str’ , your covalent api_key
chain_id = type: ‘str’ ,covalent id for the network you want the historical transactions
round_start = type: ‘str’, format : ‘%Y-%m-%d’, date of the round start or date when the round was announced. Example : ‘2022-12-05’
round_finish = type: ‘str’, format : ‘%Y-%m-%d’, date of the round end or date when donors were not able to make donations anymore. Example : ‘2022-12-31’
list_for_testing = type : ‘list’ , present on the wallet_initiated module, it should contain a list of unique wallet addresses of donors and grantees .
list_of_donnors = type : ‘list’ , present on the trx_between_donnors module, it should contain a list of unique wallet addresses of donors .
wallets_lists = type : ‘list’, present on the wallet_historical_trx module, it should contains all wallets address that is intended to get the lifetime transactional data on the specified chain_id

Fuctions:

first_trx_during_round(wallet_id, api_key, chain_id, round_start, round_finish):
Module tests if the wallet was ‘initiated’ (tried its first transaction) on the specific chain tested during the period specified. This module does not distinguish between failed or successful transactions. Output: True/False

wallet_initiated(wallet_id, api_key, chain_id, list_for_testing) :
Module tests if the first funds were received by one of the wallets in the <list_for_testing> variable . It returns ‘True’ only if the first successful and not ‘0’ value transaction was made by some of the wallets in the list. Output: True/False

Example:
Trx_1 : from x_wallet / successful : False / value: 1 (module will discart)
Trx_2 : from x_wallet / successful : True / value: 0 (module will discart)
Trx_3 : from n_wallet / successful : True / value: 10 (module will accept)
If list_for_testing contains 'n_wallet' then module returns True

trx_between_donnors(wallet_id, api_key, chain_id, list_of_donnors) :
Module tests if round donors have transitioned between themselves , there is not distinction between successful and failed transactions nor about when these transactions occurred. In this module wallet_id must be in list_of_donnors. Output: True/False

donnors_trx_during_round(wallet_id, api_key, chain_id, round_start, round_finish, list_of_donnors) :
Module tests if round donors have transitioned between themselves during the period of grant round or announcement of the round, there is no distinction between successful and failed transactions. wallet_id must be in list_of_donnors. Output: True/False

wallet_historical_trx(wallets_list , api_key, chain_id):
This module was developed to make it easier to get historical transactional data from a list of wallets. It bridges the gap between the API usage and a final treated dataset.

Further development:

The package has little study around time optimization due to hackathon time constraints. It can be slow when used to check a lot of wallets owing to making one API call for each function ‘check’. Further development would include:

• modules to import and treat a dataset and use it to retrieve the validations for the other modules.
• One module that builds and processes networks algorithms and returns network metrics as degree of centrality, closeness and so on ..

Acknowledgements to:

• Covalent Network, due to the service and support on their discord
• Simon from 0x9simon due to his discussion around Gas Provision Network. It inspired the construction of the module ‘wallet_initiated’

If you want to contribute, please contact Stefi :)