Credit Dawg reviews raw credit data, flags Metro 2 formatting contradictions, and drafts tailored dispute language you can review before sending anything to a bureau or furnisher.
Need details first? Read the handbooks, view the B2B API section, or review company trust details.
Measurement note: demo audit examples are based on Metro 2 consistency checks in the sample engine and illustrate how issues are surfaced. They do not guarantee bureau action, deletion, or legal outcomes.
Standard factual disputes ("not my account") are auto-rejected by the e-OSCAR system. We focus on data-integrity disputes based on strict CDIA Metro 2 formatting rules.
Our Python engine parses raw credit JSON and surfaces contradictions (for example, Status 97 with an Amount Past Due) so you can build a more specific dispute record.
We don't rely on one static PDF template. The system drafts dispute language from the detected issues so the letter can be reviewed and adapted to the record in front of you.
We decode FCRA regulations and CDIA standards into plain-English. Understand the exact laws we use to protect you, and learn how to maintain flawless credit long-term.
FCRA-grounded guides — no guaranteed outcomes, no legal advice. Download HTML or PDF.
If your team spends hours reviewing reports by hand, the Credit Dawg Metro 2 API can flag contradictions and draft dispute language from the raw bureau data you send. Operators still review every case before use.
View API DocumentationCredit Dawg is an Outset Solutions workflow for Metro 2 dispute analysis and education. If you need direct contact details or company context, use the main trust page or email the operator.
A short review can show whether your file has obvious Metro 2 inconsistencies and whether the consumer or B2B path makes sense next.