EndCap
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Deal intelligence you can
take to committee.

EndCap underwrites every OM you’re sent — cited to the page, in your own model — and maps the off-market owners nobody has sent you yet.

For acquisitions →For sourcing →
Subject · reconciliation
Verified240-unit multifamily · Southeast
LineStatedVerified
In-place NOI$4.20M$4.20MTies
Occupancy94%91%Flagged
Insurance ($/unit)$420$680Override
Flood zone—Outside SFHAVerified
Concessions—Left blankLeft blank
Fig. 1 — every figure traced to source, flagged, or left blank. Never a guess.
01 · Platform

One layer of intelligence. Two ways in.

01Acquisitions
Underwrite
Forward the deal. It comes back underwritten.
  • A complete model, built to your standards
  • Pursue, re-trade, or pass — with the why
  • Every figure cited
For acquisitions teams →
02Deal flow
Source
See the market before it’s marketed.
  • Off-market and on-market screens against your buy box
  • Ownership, tenancy, and signals in one view
  • Off-market first looks
For sourcing teams →
02 · Product

The working surfaces, unretouched.

Screens from the live product — the pipeline your team triages, the brief it defends at committee, and the map and call sheet behind the deals nobody has listed yet.

Exhibit 01 — Deal pipelineAcquisitionsSample data
Deal pipeline board with underwriting verdicts
Every deal that crossed the desk, underwritten and ranked — including the ones you pass on.
03 · Data

Grounded in the market, not the marketing.

01Securitized loan tapeswhat lenders actually wroteDEBT
02Bank & lender filingswho’s lending, at what sizeDEBT
03Live rate curvestoday’s cost of debt, dailyRATES
04Flood & hazard mapsthe risk the brochure omitsRISK
05Traffic countsthe drive-by, measuredDEMAND
06Tenant & corporate creditthe names on the rent rollCREDIT
07Tax & assessment recordsreassessment, before the pro formaTAX
08Your own deal flowa private comps base only you can queryPROPRIETARY
Independently sourced · refreshed on schedule · read against every deal
04 · Ask

Ask your whole book, not your associates.

Ask across every deal you’ve run and get an answer with receipts — or an honest “I don’t have that.”

AskWhich leases roll in the next 18 months, ranked by income at risk?
1Quick-service restaurant — $118K / yrDEAL 214 · RR p.3
2Hair salon — $54K / yrDEAL 088 · RR p.2
3Nail salon — $41K / yrDEAL 214 · RR p.4
Every row cites its lease — or it abstains.
05 · Verification

Every number has a receipt.

A citation that points at the wrong page is worse than none — so the numbers we can’t verify, we flag or drop. Never a guess.

Crestview Commons — reconciliationVerified · 1 flag
LineOur figureSource
In-place NOI$1.06MOM p.12 · rent rollTies
Gross leasable area84,200 SFOM p.14 · site planTies
Traffic (veh/day)41,20028,400State DOT count stationFlagged
Insurance ($/SF)$1.85Firm minimumOverride
Anchor sales ($/SF)—no source we trustLeft blank
Illustrative — every figure traces to a source, is flagged, or is left blank.
06 · Sample deal

Click any number. See where it came from.

Open a sample underwrite — acquisition or ground-up — and interrogate it. The failure modes are the point.

Crestview Commons
Neighborhood retail · 84,200 SF · Sun Belt
Pursue · advisory
Lev. IRR17.4%
MOIC1.9×
Y1 DSCR1.31×
LineOM saysWe say
Click a line to trace its source →
Where it came from
Flagged
Traffic (veh/day)
State DOT count station
The nearest DOT count reads 28,400 AADT — 31% below the OM’s 41,200. Surfaced, not corrected.
Illustrative — every figure traces to a source, is flagged, or is left blank.
These are samples. Once you’re in, start with a deal you know cold and read the brief against your own numbers.
07 · For data teams
The infrastructure register — for the buyers who consume, never log in

Consume it as a feed, not a portal.

For firms with their own stack: EndCap as an API, not another login. You own the surface — we own the join.

  • An MCP server and API — into your warehouse or your own copilot
  • A versioned, cited schema you can pull into your own warehouse — one row per lease, expense, and fact
lease_row · schema v2.1
{
  "tenant":        "Quick-service restaurant",
  "base_rent_psf": 24.00,
  "expiry":        "2029-08-31",
  "source":        { "doc": "OM", "page": 14 },
  "confidence":    0.98,
  "extracted_vs_stated": "stated"
}
Nulls where unknown — never a guess.
08 · Trust

Private by design.

Nothing you send is pooled, shared, or trained on. Ever.

Invite-only
every account provisioned by your firm
Firm isolation
enforced at the database layer
No training on your data
your playbook, never used to train a model
Export on demand
your history, in open formats, on request
Isolated to your firm — and yours to take with you
Your OMs, your playbook and your library stay isolated to your firm, and you can export the whole record on demand.
Your data

Put your next deal through it.

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Priced to your volume — per seat, per deal, or per asset.