Research named-provider activity
Filter exact secured-party field values and evaluate activity involving providers relevant to your market.
UCCContacts by YANETO · For equipment finance companies
Turn UCC filing activity into a focused equipment-finance research feed.
UCCContacts helps originators, research teams, and data operations monitor named-provider activity, identify repeat-filing patterns, and deliver structured filing data into existing workflows.
Prefer to look first? Inspect the rotating public sample
Your sourcing stays private. Customer identities are never disclosed.
Clear commercial terms. Data lists are non-exclusive.
Source-aware delivery. Freshness depends on publication and ingestion.
Built for your workflow
Research the providers and markets that matter to your team.
Build a recurring view of named-provider activity, examine repeat-filing context, and move structured records into origination or market-intelligence workflows.
Prioritize repeat patterns
Identify normalized debtor and address matches linked to more than one filing number for further review.
Feed the tools your team uses
Pull current or historical records through the API, or receive current-month records in Google Sheets.
Find the right yes
Find the businesses worth a closer look.
UCCContacts helps your team focus origination research using filing activity and structured context. It does not determine creditworthiness, confirm equipment collateral, or establish current financing demand.
Signals that can move a record into research.
- A filing naming a provider relevant to your market
- A debtor recorded inside your target geographic footprint
- A strict repeat-debtor match that warrants additional review
- The filing and enrichment fields required by your research process
Checks that keep your research focused.
- A provider name treated as proof of the collateral or financing product
- A repeat match treated as a verified legal-entity identity
- Debtor geography described as filing-office collection coverage
- A filing interpreted as an active obligation or current financing need
See the data before you buy
Review real filing records before connecting a feed.
Inspect a rotating slice of real UCC filing records before sharing your information. Then request a larger sample delivered to your business email.
Open the live public sampleLive data previewRotates daily
100 real filing recordsTwenty-eight fields per record, available without signup through the public sample.
- Filing and amendment details
- Debtor and secured-party fields
- Repeat-filing indicators
- Officer details where matched
The public sample is a rotating slice, not a balanced state mix. Blank enrichment fields and coded values can appear.
The automated sample includes up to 25 recent records from each of 32 covered states plus Washington, DC. In your request notes, name the states and equipment-finance providers you want to evaluate.
One automated sample per verified business domain. Phone numbers and email addresses are excluded.
Request your sampleA practical alternative
Choose the path that fits your research operation.
| Current approach | Typical tradeoff | What UCCContacts changes |
|---|---|---|
| Buy a broad commercial list | Easy to source, but disconnected from specific filing activity. | Research records tied to filing dates, named secured parties, and available repeat context. |
| Search filing portals manually | Direct access, with jurisdiction-by-jurisdiction preparation work. | A recurring multi-state feed delivered to a Sheet or through an API. |
| Build collection in-house | Full control, with ongoing source, normalization, and delivery maintenance. | A maintained data workflow your team can evaluate before integrating. |
What the data supports
Measure named-provider activity without overstating what a filing proves.
Filings naming Kubota Credit Corporation
Distinct filing numbers dated Sep. 1–Oct. 13, 2026.
Filings naming Caterpillar Financial Services
Distinct filing numbers in the same window; do not add as a deduplicated total.
Strict repeat-debtor matches
Name, state, street, and ZIP keys linked to multiple filing numbers.
Debtor-state breadth in the recent dataset
Geographic breadth, not complete filing-office collection coverage.
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.
Filters and delivery
Shape the feed around the work.
Focus the feed by filing date, debtor state, secured-party criteria, and repeat-filing signals. Provider-name counts establish coverage of those recorded names; they do not verify equipment collateral or product type for each filing.
Filing date Debtor state Secured party Repeat-filing signal Available record fields
API in CSV or JSON
Pull available current or historical records with 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, research-ready fields
Work with debtor, filing, secured-party, repeat-filing, and available enrichment fields in a consistent format.
Method and limits
Provider coverage is not a collateral determination.
- Kubota and Caterpillar counts group exact normalized secured-party field values. Spelling variants, aliases, subsidiaries, and combined field values are not resolved.
- Named-provider counts are dataset coverage measures, not lender market share or verified equipment-finance transactions.
- The repeat-debtor method normalizes text and requires multiple distinct filing numbers. It does not establish the same legal entity, an active obligation, or financing demand.
- Debtor-state coverage describes the state recorded on debtor rows. The source does not provide a filing-office jurisdiction field, so it cannot establish collection coverage in every state.
- Data freshness follows source availability and ingestion. It is not perfectly real time and does not guarantee a sales outcome.
Evaluate it with your team
Start with records you can inspect.
Request the complimentary sample, review the fields and limitations, and decide whether the feed fits your workflow.