Trepp is the leading provider of CMBS, commercial real estate debt, and structured-finance data and analytics. It aggregates loan-level CMBS performance, servicer watchlist and special-servicing flags, delinquency and DSCR trends, CRE pricing and lending intelligence, and bank loan-risk analytics — the dataset that debt teams, lenders, and investors use to underwrite, monitor, and price commercial mortgage risk across the market.
CRE debt runs on three recurring questions: which loans in my book or my coverage universe are deteriorating, which maturities are coming due and need a refinance plan, and how is comparable debt being priced right now? Trepp exists to answer them. It is the market's reference set for CMBS loan-level performance — servicer watchlist additions, special-servicing transfers, delinquency status, DSCR and occupancy trends, maturity schedules, and the pricing and lending data that anchor a credit decision.
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Trepp carries detailed loan-level data across the CMBS universe — current balance, DSCR, occupancy, payment status, servicer watchlist and special-servicing flags, and remittance-driven performance history.
This is the dataset debt teams underwrite and monitor against. Pull a specific loan's current performance, or scan a pool for deteriorating credits, without manually parsing remittance reports each month.
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Ready-to-deploy workflows powered by Trepp + NextAutomation
On a schedule, this workflow ingests your licensed Trepp data for your tracked loans and coverage universe, detects new servicer watchlist or special-servicing flags and loans entering your maturity window, scores each by refinance-and-default risk, and creates a timed alert plus a refinance-pipeline task so the analyst covering that credit acts inside the decision window. The team opens a ranked list of loans that actually need attention this week — not a static portfolio report.
1n8n cron pulls the current state of your tracked loans from your licensed Trepp access — feed/API where provisioned, or your authorized export otherwise
2Compare against the stored prior snapshot to detect new watchlist additions, special-servicing transfers, and loans entering the 12-month maturity window
3For each detected signal, retrieve the loan's current DSCR, occupancy, payment status, and the recorded trigger reason
4AI node scores each flagged loan: +3 for a watchlist add paired with a maturity inside 12 months, +2 for declining DSCR below threshold, +2 for a special-servicing transfer, +1 for occupancy decline
Loans crossing a risk threshold or entering the maturity window trigger a timed, contextual task automatically. Your debt team acts inside the decision window — the highest-leverage moment for a refinance or workout — instead of catching the flag in a quarterly review.
Connect Trepp to your workflows with powerful triggers and actions
Detect new servicer watchlist additions and special-servicing transfers by comparing today's licensed Trepp data for your tracked loans against the prior snapshot. Trepp is partner-gated and does not expose a general public webhook, so change detection runs as a scheduled snapshot diff against your own licensed access — an honest pattern, not a fabricated real-time event stream.
Each morning, flag any tracked loan newly added to a servicer watchlist or transferred to special servicing, then route it to the covering analyst with the recorded trigger reason.
On a cadence, identify loans in your licensed coverage whose anticipated or balloon maturity falls inside a defined window (e.g., 12 months), emitting a signal as each loan crosses the threshold, from your licensed Trepp data.
Surface every loan in your book maturing within twelve months so refinance outreach and workout planning start before the balloon comes due.
Retrieve a specific loan's current balance, DSCR, occupancy, payment status, and watchlist/special-servicing flag from your licensed Trepp access. Available programmatically once your account is provisioned for the feed/API; otherwise driven from your authorized exports.
When a loan is referenced in a credit review, pull its latest licensed performance figures to populate the monitoring record without parsing a remittance report by hand.
Retrieve the trend history of debt-service-coverage, occupancy, and delinquency for a loan or pool from your licensed Trepp data.
Trend a tracked loan's DSCR over the last several remittance periods and emit a flag the moment it drops below your refinance-risk threshold.
Return comparable CMBS loans matching a deal's property type, market, size band, term, and vintage — with their DSCR, performance, and original terms — from your licensed Trepp access.
For a deal under review, assemble a comp set of similar credits to ground a pricing view in actual market performance rather than a guess.
Retrieve current CMBS pricing and spread analytics for a given credit profile from your licensed Trepp data to support a pricing or investment decision.
Pull current spread context for a property-type-and-vintage cohort to anchor the suggested pricing range on a new origination brief.
Write the current period's licensed Trepp figures — DSCR, occupancy, delinquency, pricing, watchlist status, and period-over-period deltas — into your dashboard's data source.
Keep a debt-monitoring dashboard current to the latest licensed Trepp pull so credit decisions are made against fresh numbers, not last month's deck.
Write loan risk, flag status, DSCR, maturity, and last-event fields from your licensed Trepp data into a deal or loan record in your CRM or portfolio system.
Keep each loan's risk and maturity fields current so the covering analyst always sees the latest licensed Trepp context on the record.
Get started in approximately 1 hour to confirm license/access and test a single loan query; 3-4 hours for the full signal-watch, dashboard-refresh, and pricing-brief workflow suite
Before building anything, confirm with your Trepp account which products your subscription includes and whether a data feed or API is provisioned for your account. Trepp access is partner-gated and per-customer; not every plan includes programmatic access. Decide your access mode: direct feed/API queries (if provisioned) or export-driven workflows from your authorized reports. This step also confirms the honest boundary — automation runs inside your license and does not redistribute data.
Ask your Trepp rep explicitly whether your tier permits programmatic feed/API access and what the redistribution terms are. Build to that answer; never design around scraping the web product.
If you have feed or API access, obtain your Trepp credentials from your account and test a single loan or watchlist query in n8n's HTTP Request node, authenticating per Trepp's instructions. If you are export-driven, set up the scheduled Trepp reports that represent your coverage universe and confirm you can export them in a structured format (CSV) on a cadence your license allows.
Store Trepp credentials as an n8n credential, never inline in a node. For export-driven setups, drop authorized exports into a dedicated Google Drive folder so a file-created trigger can pick them up automatically.
Trepp returns rich loan-level structures. Add a Set or Code node after your query/export step to flatten the fields you need — loan ID, current balance, DSCR, occupancy, payment status, watchlist/special-servicing flag, maturity date, and pricing/spread context — and map them to the fields in your CRM, portfolio system, or dashboard so every record speaks the same schema.
Build one reusable 'Trepp Enrichment' sub-workflow that takes a loan or deal reference and returns a flat object. Reference it from every monitoring, dashboard, and pricing workflow so the mapping lives in one place.
Assemble the first end-to-end flow: Cron trigger → pull current licensed Trepp state for tracked loans → snapshot-diff against the prior period → AI risk-scoring node → match to CRM/portfolio record → create alert and refinance-pipeline task → Slack digest. Run it against a small set of tracked loans first and verify the flags, scores, and credit notes look right before widening coverage.
Persist each day's snapshot so the diff is reliable across restarts. If licensed Trepp data for a tracked loan is unavailable on a given day, skip rather than emit a false 'change' event.
Layer on the scheduled market-data refresh (licensed Trepp pull → normalize → reconcile → dashboard update + 'what changed' summary) and the deal-under-review pricing-brief flow (deal profile → comparable loans + pricing context → assembled brief on the deal card). Activate them and monitor the first several runs to confirm the dashboard reconciles correctly and the comp sets are relevant.
Cap each scheduled run to your license's reasonable usage and log a record count ('320 loans refreshed, 7 new flags, 12 maturities in window') so you can spot a broken filter or an exhausted entitlement immediately.
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