Bulk public records data, collected as a service
Every data company hits the same wall: the catalog roadmap is longer than the collection team. Each new dataset category means new sources, new formats, new breakage to babysit — and the engineers who should be building product end up running collection ops.
Recordpipe sells that layer as a contracted service. You specify the record types, jurisdictions, and schema; we build and operate the pipeline; you own the output. The deliverable is bulk public records data in production shape — corporate filings, UCC filing data, court and judgment records, property records, licensing data — not a scraper handed over for your team to maintain. Because it is contract work rather than a licensed product, the dataset is defined by your catalog's needs instead of whatever a vendor already happens to sell, and the collection headache moves permanently off your org chart.
Normalization is the actual product
Anyone can collect records. The hard, valuable work is making records from hundreds of inconsistent sources behave like one dataset: field mapping into a single schema, date and name standardization, deduplication across sources that publish overlapping records, and stable identifiers that survive refreshes so downstream joins don't shatter every cycle.
That discipline is where Recordpipe earns the contract. Deliverables ship with a documented data dictionary, per-record source jurisdiction and capture timestamps, and explicit handling rules for the messy cases — amended filings, republished records, source-side corrections. Your QA team gets acceptance criteria written into the contract, not a shrug. The result is data your catalog can ingest without a cleanup project on your side, in your field names and your identifier scheme, indistinguishable from data your own team built — because contractually, it is yours.
Refresh operations and delta delivery
A corpus is a photograph; a catalog is a subscription. The recurring value in records data is the refresh — and refresh operations are the grind data companies most want off their plate, because sources change constantly and silently.
Recordpipe runs refresh as managed operations on a contracted cadence, daily or weekly per source. Deliveries arrive as clean deltas — new records, changed records with the changed fields identified, and records no longer published — so your ingestion applies a diff instead of reprocessing a full corpus. Source monitoring is part of the service: when a source changes how it publishes, fixing collection is our job under the contract, not a ticket in your backlog. The same pipeline discipline runs our own products at over one million public records processed nightly, so a contracted refresh program rides infrastructure that is already exercised in production every night.
White-label programs, gap-filling, and category launches
Contract collection fits the moves data companies actually make. Gap-filling: the jurisdictions and record types your current suppliers can't or won't cover, delivered in the schema your catalog already uses. Category launch: a dataset you've wanted to sell — UCC filing data, judgments, licensing records — built as a complete corpus plus ongoing refresh, letting you announce a product without standing up a collection team first. And white-label supply: Recordpipe operates invisibly under NDA while the data ships under your brand, in your identifiers.
One boundary applies across every program. Owner names and mailing addresses are public record and are delivered as filed; personal emails are not promised — contact points come through as published in public filings, we ship no scraped private contact data, and enrichment is your call, under your compliance obligations. Programs run from $5,000 builds to $3 million multi-source operations.
What a delivery looks like
| Field | Description |
|---|---|
| record_id | Stable Recordpipe identifier that persists across refreshes, plus your catalog's own ID scheme if supplied |
| record_type | Normalized record category (formation, UCC filing, judgment, deed, license) per the contract taxonomy |
| jurisdiction | Source jurisdiction — state, county, or registry — for every record |
| names_as_filed | Entity and party names exactly as published, plus normalized variants for matching |
| address_as_filed | Mailing and situs addresses as published in the public record, standardized for geocoding |
| filing_date | Filing or recording date as published by the source |
| delta_status | New, changed (with changed fields listed), or no longer published — per refresh cycle |
| source_capture_ts | Timestamp of collection for every record — provenance you can pass to your own customers |
| qa_flags | Records failing contract acceptance rules, flagged rather than silently dropped |