I got the idea of bounty hunters from The Graph (specifically, The Graph Network in Depth Part 2). The Graph calls them "fishermen" and "arbitrators". Others call them bounty hunters.
The purpose of bounty hunters (a.k.a. fishermen, arbitrators) is to expose and fix errors in the system; incorrect information that got into the system, disputes, inconsistencies, and so forth.
In the case of XBRL-based financial reports submitted to the SEC incorrect information could take the following forms:
This is kind of like how hackers expose security flaws in software. Think about it. How useful are XBRL-based financial reports if there are errors in those reports and data aggregators extract information that contains errors? How effective can public companies be creating XBRL-based reports if the base XBRL taxonomies for US GAAP and IFRS have mistakes or missing information? How well will software work if XBRL taxonomies are incomplete or contain mistakes?
The only way for automation to be possible and the benefits of such automation, such as extracting information from XBRL-based financial reports, is if all the pieces are working correctly. Bounty hunters help improve information quality.
Click on the image below and see a bounty hunter's dashboard that I prototyped for the DOW 30.
I have similar dashboard prototypes for the Fortune 100 and the S&P 500. Others will exist for the Russell 1000, Russell 3000, and other groupings of public companies. The equivalent will exist for listed companies in the European Union and other regulatory jurisdictions.
Bounty hunters play a role in the coordination of systems. Stay tuned for another blog post that explains the dynamics of bounty hunting and how you can become a bounty hunter and make money.
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