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nexqdata
Solutions

Bring us the sources your pipeline can’t reliably collect.

Your team already has a data pipeline. What it doesn’t have is a dependable way into the portals, registries, and applications that keep breaking it. We engineer and maintain that collection, so what reaches your systems is structured, validated, and there every run.

What teams bring us

Start from the problem, not the scraper.

Each of these is a kind of data that looks available until you try to collect it reliably. Here’s what makes it hard, and what you get instead.

Public records & court data

The problem
Thousands of county, state, and federal portals — each with its own search form, session rules, and outages.
What you get
One agent per jurisdiction, grouped so a statewide or multi-county search runs as one and comes back as one download.
  • Court dockets
  • Case filings
  • Property & deeds
  • Liens & judgments

Background screening data

The problem
Turnaround depends on lookups that are slow, manual, and scattered across courts, boards, and registries.
What you get
Searches by name and identifier across the sources you screen against, returned as structured records your workflow can consume directly.
  • Criminal court records
  • License verification
  • Registry checks

Regulatory & compliance data

The problem
Regulators publish on sites built for people to read, not systems to ingest — and a missed update becomes an audit finding.
What you get
Scheduled collection with completeness checks and every run retained, so you can show what was collected, and when.
  • Sanctions & watchlists
  • Enforcement actions
  • Regulatory filings
  • Corporate registries

Market intelligence

The problem
Pricing, catalogs, and listings live in JavaScript-heavy sites that change their layout without warning.
What you get
Agents built on the data layer the site itself uses, running on the cadence your models need, with flags when a run behaves unlike itself.
  • Pricing
  • Product catalogs
  • Listings
  • Competitor data

Monitoring & change detection

The problem
You don't need the data once — you need to know when it moves: a status flips, a filing appears, a listing disappears.
What you get
Recurring collection on the schedule you set, with every run's output kept, so today's records can be compared against last week's in your own systems.
  • Case status
  • New filings
  • License status
  • Listing changes

Large-scale web collection

The problem
Millions of records behind deep pagination, where a silently skipped page looks exactly like a quiet day.
What you get
Concurrency tuned per source, completeness checked against the expected count, and results delivered as datasets rather than raw dumps.
  • Full-registry pulls
  • Historical backfills
  • Directory collection

Not on the list?

These are patterns, not limits. If a source matters to your business and your pipeline can’t hold onto it, tell us about it — we’ll tell you honestly whether we can.

Describe your source

How it starts

From “this source keeps breaking” to data you can rely on.

  1. 01

    Tell us the sources

    Which sites, which fields, how often, and where the data needs to go. The sources that keep breaking are the ones we want to hear about.

  2. 02

    We assess and scope

    Our engineers review each source before we commit — what's collectible, at what cadence — and tell you plainly if something isn't a fit.

  3. 03

    We build. You operate.

    Agents are engineered, validated, and deployed into your workspace. You run them; we keep them working as the sources change.

Curious what makes a source hard? See the complexity we engineer for →

Which source keeps breaking your pipeline?

Tell an engineer. We’ll assess it and scope the agent with you.