Please describe your proposed solution.
Today at the beerhouse.io project, we felt the need for a shared repository where any developer can report a scam.
We internally developed 4 rules to identify common scams (similar names, similar image, similar description, bot that captures the policyId of the originating site and is identical to the current site) and modified our cardano-db-sync to behave and ignore these tokens created for only deceive and deceive the
user.
The idea is to create a shared repository (similar to cardano-token-registry) and together with this a validation process, partly automated and partly carried out by a capable responsible team.
This repository may be available for consultation by everyone in the community, thus facilitating the
The asset can have several flags:
- No Flag = All OK with the Token.
- OK = Token verified and everything OK with the Token.
- ALERT = Something abnormal was identified (infringed some of the rules) and needs to be reviewed to be reclassified.
- SCAM = It has been alerted and is identified as a scam.
Please describe how your proposed solution will address the Challenge that you have submitted it in.
We will develop documentation and present it to the community. After reviewing, suggesting improvements, we will deliver a finalized documentation, with the processes of inclusion and review of assets and the functioning of the bots capable of mapping and monitoring possible irregularities.
- We will create a public repository on github.
- We will modify our bots to interact with this repository, including the tokens with the alert flag for review.
We will have a team dedicated to solving possible problems and for a period of 6 months. (included in cost)
What are the main risks that could prevent you from delivering the project successfully and please explain how you will mitigate each risk?
The main risk is not in the development of the project, but in the adoption of the shared database by the developer community.
The minimization of this risk will be to have transparency in the creation and maintenance of this bank, as well as in the wealth of data.