A judgment-intelligence platform for NY debt collectors that continuously monitors NYSCEF and county court feeds, enriches judgment records with debtor asset signals from public property and business
Judgment collectors don't need more data, they need to know which of their 500 judgments to chase first
Built for Judgment-collection agencies, debt-recovery businesses, skip-tracing firms, and legal/financial services that repeatedly need fresh court-record data for compliance and asset-recovery targeting..
Collectability scoring on top of raw records converts a data problem into a decision tool, which collectors pay 10x more for
“Jun 13, 2026 · ... build a tool for collecting and organizing public court-record data for a judgment-collection business. The goal is to identify New York ...…”
The receipts — real demand
“Jun 13, 2026 · ... build a tool for collecting and organizing public court-record data for a judgment-collection business. The goal is to identify New York ...”
Full dossier
Unlock the full dossier — free
Every corroborating quote, the source receipts, and the community echo. One email, no payment.
demand score 6.7 — the receipts are below
Why this is a gap
Surfaced from a high-intensity complaint with clear willingness to pay and a specific, reachable audience.
The market
Judgment-collection agencies, debt-recovery businesses, skip-tracing firms, and legal/financial services repeatedly need fresh New York court-record data for compliance and targeting. No search volume; demand is narrow and professional (a dozen firms at most in NY), but their need for timely, reliable data is genuine and recurring.
Competition & the opening
Public court websites and legal databases (CourtListener, PACER) already offer raw court records; vendors like LexisNexis and Westlaw provide enriched court data but at enterprise pricing. The gap is a lightweight, affordable scraper and aggregator built specifically for judgment-recovery workflows.
What's hard to build
New York court record access requires navigating multiple fragmented data sources (Supreme Court, Civil Court, Appellate Division), each with different APIs or no API at all (requiring screen-scraping). Courts frequently change site structure and restrict automated access; maintaining reliable scraping at scale is operationally expensive and legally fragile, and you have no direct vendor relations
Why now
Public court records are machine-readable but fragmented; a continuous scraper filling the gap for judgment agencies is now viable with modern web automation.
How you'd monetize
usage-based API ($0.10-0.50 per record) or $500-2k/mo retainer