Measuring what American consumers lose, and why.
Independent research, open data, and analysis from the team at Abundera. Independent. Non-promotional. Free to cite.
What we publish
- Original data. Aggregate findings from Abundera's engines. How often medical bills contain errors, how many dollars of benefits go unclaimed, how aggressively utility prices creep up without you noticing.
- Open datasets. Anonymized, structured, redistributable. For journalists, researchers, and consumer advocates.
- Practical guides. How to dispute a hospital bill, how to appeal an insurance denial, how to find benefits you qualify for. Public-good content, not product marketing.
- Press kit and citations. Methodology, contact info, downloadable assets.
First reports
The Cancellation Gap. The federal click-to-cancel rule has been dead for thirteen months. Roughly two in three Americans live somewhere that does not require a business to let them cancel the way they signed up.
The Billing Error Baseline. Published estimates of medical billing errors range from 7 percent to 80 percent. Here is why, which numbers are defensible, and what we will measure.
The Benefits Gap. Twelve percent of SNAP-eligible individuals do not enroll. LIHEAP reaches roughly one in five eligible households. What is known, and what we will measure.
The Class Action Claim Rate Gap. Class action settlements paid out a record $79 billion in 2025. The median consumer claim rate is 9 percent. What is known, and what we will measure.
The Subscription Creep Index. Americans underestimate their subscription spending by 40 percent. Two-thirds have seen a price increase in the past year. Our multi-year measurement approach.
About Abundera Research
Abundera Research is the independent research arm of Abundera, an AI financial advocacy platform. We publish what our tools find, not what our marketing wants us to say.
This research is independent of the product. If the data shows the product isn't helping in some category, we publish that too.
Contact
Press and research inquiries: research@abundera.ai
Security: security.txt