Help & User Guide
Everything you need to get the most out of Note Intel — from finding sellers to understanding lead scores.
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What is Note Intel?
Note Intel pulls mortgage assignment records from county public records (via ATTOM Data) and turns them into actionable intelligence for note traders. Every time a loan changes hands — a lender sells a note, a servicer transfers rights — it gets recorded at the county level. We collect those records and let you slice them to find who's actively selling, what loan types they move, and how hot they are as a lead.
The core workflow is:
- Ingest county data via the Data Ingestion form on the Dashboard.
- Find sellers and buyers using the Find Sellers search.
- Qualify leads using Lead Scores, Entity Detail, and Market Velocity.
- Push promising leads directly into Trade.Paperstac as CRM contacts.
Find Sellers / search
Your primary prospecting tool. Search all entities in the database and rank them by how likely they are to have notes for sale.
Filter options
Reading the results
Each row shows the entity name, type badge, loan count, total volume, average loan size, date range of activity, and number of states. Click any entity name to open the Entity Detail page for a full portfolio breakdown.
💡 Best practice
Start with Role = Assignor, Sort = Lead Score, Min Loans = 10. This gives you a ranked list of the most active note sellers. Then narrow by state or loan type based on what your buyers want.
Assignments / assignments
Individual loan-level records straight from county filings. Use this when you need to verify a specific transfer, look up a borrower, or drill into a property address.
Key columns
💡 Best practice
Use the Servicing Transfer = No filter to exclude routine servicing changes and focus only on actual note sales. Combine with a loan amount range to find portfolio-sized transfers.
Servicer Tracker / servicers
Shows who controls mortgage servicing rights by state — ranked by assignment volume. Servicers with high transfer counts are actively moving loans and may have pools available or incoming inventory.
How to use it
- Filter by state to see who dominates servicing in your target market.
- The pie chart shows relative market share — a dominant servicer in a state is a high-value relationship target.
- Click the servicer name to open Entity Detail and see their full profile and lead score.
Matchmaker / matchmaker
Side-by-side view of the top sellers and buyers for a specific loan type. Designed to answer: "Who has hard money notes to sell, and who is actively buying them?"
How to use it
- Select a loan type — this is required. Start with Hard Money or Second Lien for the highest-value opportunities.
- Optionally filter by state to narrow to your target market.
- The left column is sellers (assignors); the right column is buyers (assignees).
- Use this to pitch a seller: "We have buyers already active in your loan type in your state."
- Use this to pitch a buyer: "We have sellers moving this exact loan type — here's the market depth."
Heat Map / map
A choropleth map showing assignment density by state. Darker = more activity. Use it to identify which states have the most active note markets and prioritize your ingestion and outreach strategy.
Metric options
💡 Best practice
Filter by Hard Money and switch to Unique Sellers to find states with a diverse pool of hard money lenders. Many sellers in a state = more deal flow potential than a state dominated by one large servicer.
Market Velocity / trends
Monthly assignment volume charted over time (12–60 months). Look for sudden spikes — they signal a portfolio sale event or a lender liquidating inventory. That's your outreach window.
Workflow
- Set the time window to 24 months to see enough history for pattern recognition.
- Select a loan type to isolate signals (e.g., Hard Money spikes are usually intentional portfolio sales).
- When you see a spike, note the month and go to Find Sellers, filter by that date range to identify who drove the volume.
- Repeat for individual states — a spike in one state but not others pinpoints a regional seller.
Entity Detail / entity/{id}
The deepest view of any single entity. Access it by clicking an entity name anywhere in the app. It's your pre-call research sheet — review it before reaching out to a seller.
Six data sections
Buyer Appetite section
Shows their preferred states and preferred loan types when buying — built from actual transaction history, not self-reported. Use this to match them with sellers who have the right inventory.
💡 Push to Trade
When you're ready to pursue a lead, use the "Push to Trade" button on the Entity Detail page to create a CRM contact in Trade.Paperstac automatically — no copy-pasting required.
Lead Score
Every entity gets a score from 0–100 based purely on their public record transaction history — no guesswork. The score tells you how likely they are to have notes available and be receptive to outreach.
Score bands
Scoring factors (100 pts total)
Volume
75+ loans → full 25 pts. 30+ loans → 20 pts. More loans = more consistent deal flow.
Recency
Active within 90 days → full 25 pts. Within 6 months → 20 pts. Older records score lower — stale leads rarely convert.
Loan Type Premium
Hard Money → 20 pts (most tradeable). Second Lien → 18. Commercial → 15. Conventional/FHA/VA → 8–10. Mixed/Unknown → 5.
Entity Type
Lender → 15 pts. Investor → 12. Servicer → 8. Government → 2. Lenders and investors are more likely to sell whole notes vs. just transfer servicing.
Geographic Concentration
Active in 1–2 states → full 15 pts. 8+ states → 0 pts. Concentrated sellers are easier to pitch; national players are harder to reach the right person.
💡 Score context
A score of 66 (Warm) with 25/25 on Volume but only 5/20 on Loan Type means the entity moves a lot of loans but the type is unclear — worth a call to clarify what's in the pipeline. Don't dismiss Warm leads if their Volume is maxed out.
Data Ingestion
The app pulls data from ATTOM Data on demand — the database only knows about counties you've explicitly ingested. Use the Ingest County Data form on the Dashboard to add new counties.
Fields
💡 Strategy
Start with your highest-priority states (Florida, Texas, California, Georgia are high-volume note markets). Ingest the top 2–3 counties per state first — most activity concentrates in major metros. Re-ingest monthly to keep data fresh and catch new sellers.
Trade.Paperstac Integration
Push any entity directly into Trade.Paperstac as a CRM contact with one click from the Entity Detail page. This connects your research pipeline to your deal-making pipeline.
Workflow
- Find a promising lead in Note Intel (score ≥ 45, recent activity).
- Review their Entity Detail page — states, loan types, counterparties.
- Click "Push to Trade" on the Entity Detail page.
- A CRM contact is created in Trade.Paperstac with the entity name and type.
- Open Trade.Paperstac, find the contact, and add notes from your research before calling.
Already pushed?
The Entity Detail page shows a "Synced to Trade" badge if the entity has already been pushed — no duplicates created.