High-confidence provider associations
Distinct filing numbers dated Sep. 1–Oct. 13, 2026.
For MCA brokers and funders
Find filing activity connected to the MCA market—without hiding the confidence level.
UCCContacts helps funding teams research filings associated with listed MCA and revenue-based-finance providers, identify repeat-filing patterns, and move structured data into their workflow.
What the data supports
Use the signal with the confidence level attached.
Medium-confidence provider associations
Kept separate from the High-confidence population.
Filings with a populated debtor phone field
196 High and 330 Medium. Populated and format-screened, not verified.
Distinct September UCC-1 filing numbers in the full dataset
Dataset scale only. This is not MCA volume.
Filing-date window: September 1–October 13, 2026, unless a card says September 2026. Measured October 14, 2026. Counts are distinct nonempty filing numbers after trimming and uppercasing, deduplicated across debtor rows. Filing numbers may not be unique across jurisdictions because the source has no filing-office jurisdiction field.
Built for your workflow
Move from a public filing to a focused research queue.
UCCContacts organizes filing activity into structured inputs your team can filter, review, and route into the systems it already uses.
Keep confidence tiers visible
Separate High- and Medium-confidence provider classifications instead of blending them into an unexplained lead count.
Surface repeat-filing patterns
Use normalized debtor and address signals to identify records that merit further research without calling them verified stacking or active obligations.
Reduce list preparation
Filter and deliver structured filing data into an API workflow or the Google Sheet your team already reviews.
Representative demonstration
See how an MCA research queue can be structured.
The sample format makes the source filing and research signal easy to distinguish. A tailored sample can be scoped to your target states and secured-party criteria.
| Debtor business | Debtor state | Filed | Secured party | Research signal |
|---|---|---|---|---|
| Blue Harbor Logistics Inc. | Florida | 09/18/2026 | Demonstration Funding Co. | High-confidence listed-provider association |
| Summit Field Services LLC | Georgia | 09/17/2026 | Example Capital Partners | Medium-confidence listed-provider association |
| Northstar Equipment LLC | North Carolina | 09/16/2026 | Sample Commercial Bank | Repeat-filing pattern identified |
Demonstration records are fictional and reuse the site’s approved sample format. They do not contain real businesses, filing numbers, contacts, or customer data.
Filters and delivery
Shape the feed around the work.
Build a research feed around filing date, debtor state, secured party, confidence tier, and repeat-filing signals. Debtor state describes the state recorded for the debtor; it does not establish the filing-office jurisdiction.
Filing date Debtor state Secured party High / Medium confidence Repeat-filing signal
API delivery
Pull current or historical records in CSV or JSON, using filters that fit your workflow.
Automated Google Sheets
Receive the current month’s backlog and new available records in a shared sheet, checked every 15 minutes.
Structured data
Work with debtor, filing, secured-party, and available enrichment fields in a consistent record format.
Method and limits
Association is not proof of the financing product.
- Provider classifications come only from the workbook’s Customer MCA List, rows 7–280. The Review Needed tab was excluded.
- All accepted database matches are exact after case and whitespace normalization. Medium means provider-classification confidence, not fuzzy matching.
- Non-exact and ambiguous candidates were excluded. The review queue contains 28 spellings covering 192 database rows, including unresolved candidates.
- Describe results as filings associated with listed MCA/RBF providers. A provider classification does not prove the product behind every filing.
- Phone presence does not verify ownership, current accuracy, reachability, consent, or sales potential.
Evaluate your market
Start with records you can inspect.
Tell us the states, filters, fields, and delivery method you want to evaluate. We’ll prepare a relevant sample for your team.