Smart Lease Contract Analytics

This dataset provides granular analytics on digital lease contracts with smart clauses, including payment performance, compliance status, and risk scoring. It is designed for real estate technology platforms to optimize lease negotiations, automate compliance, and identify risk factors for property managers and owners. The dataset supports workflow automation, risk management, and strategic decision-making in property leasing.

  • last updated 16 Jan 2026
  • by GoMask
The brief that made it

Automated compliance monitoring for lease contracts

Sample rows

preview · 8 of 80 rows · all 30 columns
contract_idstringcontract_statusstringrisk_scorefloatsmart_clause_triggeredbooleansmart_clause_typestringproperty_idstringproperty_address_streetstringproperty_address_citystringproperty_address_statestringproperty_address_postal_codestringproperty_address_countrystringtenant_idstringtenant_namestringtenant_emailstringowner_idstringowner_namestringcontract_start_datedatecontract_end_datedatelease_term_monthsintegermonthly_rent_amountfloatsecurity_deposit_amountfloatpayment_due_dayintegerpayment_statusstringlast_payment_datedatetotal_payments_madeintegertotal_payments_dueintegercompliance_statusstringrisk_factorsstringcreated_atdatetimeupdated_atdatetime
CTR-0001active0.18falseauto-renewalPROP-101123 Elm StDallasTX75201USATEN-201Monica Patelmonica.patel@example.comOWN-301Carl Simmons2022-01-152023-01-1412185018501on_time2022-12-311212compliantblank2022-01-10T10:07:002022-12-31T15:45:00
CTR-0002terminated0.67truelate-feePROP-102450 Oak AvenueDenverCO80202USATEN-202Steven Chustevenchu@samplemail.comOWN-302Lara Rodriguez2022-06-012022-11-306120012005late2022-11-0766non-compliantLate payments; Smart clause triggered2022-05-20T14:00:002022-11-07T16:30:00
CTR-0003expired0.22falsemaintenancePROP-10391 Maple LaneSeattleWA98101USATEN-203Jessica Nguyenjessica.nguyen@fakemail.netOWN-303Troy Williams2021-09-012022-08-3112210021003on_time2022-08-301212compliantblank2021-08-28T09:00:002022-08-30T13:15:00
CTR-0004active0.38falseblankPROP-10417 Pine StAtlantaGA30303USATEN-204Kylie Smithkylie.smith@domain.comOWN-304Anna Fischer2022-10-102023-04-09695095010pendingblank06pendingLease just started2022-10-05T10:15:002022-10-10T10:00:00
CTR-0005terminated0.81trueterminationPROP-105225 South StPhoenixAZ85004USATEN-205Roberto Diazroberto.diaz@email.comOWN-305Megan Lee2021-07-012022-06-3012140014002missed2022-05-021112non-compliantMissed payment; Early termination2021-06-25T08:45:002022-05-02T12:00:00
CTR-0006expired0.15falsemaintenancePROP-10635 Cedar DrSan DiegoCA92101USATEN-206Emily Bakeremily.baker@realmail.orgOWN-306Samuel Park2022-03-012023-02-2812205020503on_time2023-02-281212compliantblank2022-02-25T13:00:002023-02-28T09:10:00
CTR-0007active0.12trueauto-renewalPROP-10799 Willow WayMiamiFL33101USATEN-207David Kimdavid.kim@samplemail.comOWN-307Sofia Turner2022-08-012023-07-31121550155015on_time2023-07-151212compliantblank2022-07-28T11:00:002023-07-15T12:35:00
CTR-0008active0.36falseblankPROP-10887 Birch BlvdChicagoIL60601USATEN-208Laura Jordanljordan@demomail.comOWN-308Roger Evans2023-01-012024-01-0112230023008pendingblank012pendingLease just started2022-12-28T10:00:002023-01-01T10:00:00

What the 80 rows show

from the 80-row sample

Terminated (contract status) stands out: mean risk_score is 0.68, against 0.20 for the rest.

  • 36%smart_clause_triggered = true
  • 0.18median risk_score
  • 3compliance statuses
  • 4property address countries
  • 5payment statuses
  • 12median lease_term_months
Mean risk_score by contract_status80 rows
00.510.22active46 rows0.68terminated16 rows0.15expired18 rows
risk_score80 rows, in bands of 0.1
02040736977145400.50.9risk_score →

Median 0.18, from 0.07 to 0.89.

smart_clause_type54 rows with a value · 26 left blank
  1. auto-renewal17
  2. maintenance15
  3. late-fee12
  4. termination9
  5. other1
30 columns by typefrom the column list below
  • string 17
  • integer 4
  • float 3
  • date 3
  • datetime 2
  • boolean 1

Columns

30 columns in four groups
blueprint · 30 columns
columntypedescriptionexample
Text 17 columns
contract_idstringUnique identifier for each lease contractuniqueCTR-0001
property_idstringUnique identifier for the property associated with the leasePROP-101
property_address_streetstringStreet address of the leased property123 Elm St
property_address_citystringCity of the leased propertyDallas
property_address_statestringState or region of the leased propertyTX
property_address_postal_codestringPostal code of the leased property75201
property_address_countrystringCountry of the leased property4 countriesUSA
tenant_idstringUnique identifier for the tenantTEN-201
tenant_namestringFull name of the tenantMonica Patel
tenant_emailstringEmail address of the tenantmonica.patel@example.com
owner_idstringUnique identifier for the property ownerOWN-301
owner_namestringFull name of the property ownerCarl Simmons
payment_statusstringCurrent payment status for the contracton_time · late · missed · pendingon_time
smart_clause_typestringType of smart clause embedded in the contractauto-renewal · late-fee · maintenance · termination · other · optionalauto-renewal
compliance_statusstringCurrent compliance status of the contractcompliant · non-compliant · pendingcompliant
risk_factorsstringSummary of identified risk factors for the contractoptionalLease just started
contract_statusstringCurrent status of the lease contractactive · terminated · expired · pendingactive
Numbers 7 columns
lease_term_monthsintegerDuration of the lease in months1 or more12
monthly_rent_amountfloatMonthly rent amount agreed in the contract0 or more1850
security_deposit_amountfloatSecurity deposit amount specified in the contract0 or more · optional1850
payment_due_dayintegerDay of the month when rent payment is due1 to 311
total_payments_madeintegerTotal number of rent payments made under the contract0 or more · optional12
total_payments_dueintegerTotal number of rent payments expected under the contract1 or more12
risk_scorefloatCalculated risk score for the contract (0-1 scale)0 to 1 · optional0.18
Dates and times 5 columns
contract_start_datedateStart date of the lease contract2022-01-15
contract_end_datedateEnd date of the lease contract2023-01-14
last_payment_datedateDate of the most recent rent paymentoptional2022-12-31
created_atdatetimeTimestamp when the contract record was created2022-01-10T10:07:00
updated_atdatetimeTimestamp when the contract record was last updated2022-12-31T15:45:00
True or false 1 column
smart_clause_triggeredbooleanIndicates if a smart clause has been triggeredoptionalfalse

Use it for

  • smart clause t…36%29 of 80 rowsmean risk score by co…0.22active0.68termin…0.15expired

    A real estate dashboard

    The smart_clause_triggered rate, risk_score by contract_status and a breakdown of smart_clause_type. Excel, Power BI or Tableau.

  • Why do the 16 terminated rows have a mean risk_score of 0.68?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable contracts with property_id, property_address_street and property_address_city to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 30 columns, your size and your rules. See 20 rows before you pay.

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This dataset80 rows30 columns
Yours1,000 rows30 columnsproperty_address_street: UK only

blueprint · smart-lease-contract-analytics

Behind this dataset

Same schema. As many rows as you need.

These 80 rows came out of a blueprint — 30 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each row represents a unique digital lease contract instance.
  • Fields include contract value, lease term, property type, smart clause triggers, payment status, and compliance outcomes.
  • Smart clause triggers are categorized (e.g., late payment, maintenance requests, subletting events).
  • Payment status must be updated monthly; overdue contracts are flagged.
  • Compliance outcome is binary (pass/fail) based on automated checks.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
smart-lease-contract-analytics

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