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LOS Mapping Fields

TABLE OF CONTENTS

Document Purpose

This document provides a map of data fields needed LOS field mapping to have historical data pulled into the Total Expert (TE) platform. The more information provided or mapped for a historical pull, the more you will be able to take advantage of TE's various features. This document also identifies which data fields are visible in TE and which fields are updatable. TE business-standard process does not allow specific data fields to be updated (for example, lead source or change loan assignment to a different loan officer), so the loan data for import or LOS field mapping must be accurate.

How it Works

TE will provide a LOS field mapping document and a loan import template for flat file import.

 For a flat-file import, TE will provide a contact loan import template in import-ready format. TE will need the file back with the column headers intact in the .csv file format. If there are any changes to column headers outside of standard column file headers, the data values will not get imported.

Note
 
Loan Number is a required field; loan records that do not have a loan number or have a 0 value will not qualify to import.

TE will import the file and run through a de-duplication process within the import file and the database.

For the LOS field mapping, TE will provide a LOS field mapping document, and TE will need it back with Field IDs for the loan information from the LOS system that corresponds with fields in the TE system.

LOS Data Template

The following tables outline TE data fields used for flat-file import and LOS mapping.

Visible in UI – This column identifies which information is visible in the TE user interface (UI). The fields marked Contact Level are data fields stored in the contact record in TE, whereas those kept Yes are stored in the loan record.

Editable – This identifies which data fields can accept updated information. The fields marked not editable will not receive updated data. Once the value is in TE, it will not change.

Note
 
Editable fields do not overwrite to NULL once they have a value.

Total Expert Fields – These are TE standard field names.

Description – This column has brief information on the expected data. See the Data Content Definitions section for additional details.

Data Type – This column is the expected data type.

Loan Fields

Visible in UI

Editable

Total Expert Fields

Description

Data Type

No

No

LoanOfficer.external_id Required

Unique identifier for the user

type: varchar, length: 128

No

Yes

loan.external_id Required for LOS integration

Unique identifier for the loan

type: varchar, length: 255

Yes

Yes

loan_number Required if data is being imported

Loan number

type: varchar, length: 255

Yes

Yes

pre_approval_issued

Whether a pre-approval was issued for this loan (0 = No, 1 = Yes)

type: tinyint, length: 1

Yes

Yes

is_first_time_buyer

Whether the borrower is a first-time borrower (0 = No, 1 = Yes)

type: tinyint, length: 1

Yes

Yes

amount

Amount of the loan

type: decimal, length: 10, decimals: 2

Yes

Yes

rate

Loan rate

type: decimal, length: 8, decimals: 5

Yes

Yes

term

Loan term (months)

type: int, length: 3

Yes

Yes

purchase_price

Purchase price for the loan

type: decimal, length: 10, decimals: 2

Yes

Yes

loan_to_value_combined

Combined Loan-to-Value

type: decimal, length: 5, decimals: 2

Yes

Yes

loan_to_value

Loan-to-Value

type: decimal, length: 5, decimals: 2

Yes

Yes

property_type

Type of property (ex: Single Family)

type: varchar, length: 128

Yes

Yes

address_1

Property address 1

type: varchar, length: 255

Yes

Yes

city

City

type: varchar, length: 255

Yes

Yes

state

State

type: varchar, length: 100

Yes

Yes

zip

ZIP code

type: int, length: 5

Yes

Yes

occupancy

Occupancy type of the property (ex: owner)

type: varchar, length: 32

No

Yes

estimated_value

Estimated value of the property

type: decimal, length: 10, decimals: 2

Yes

Yes

lock_date

Date the loan was locked

type: datetime

Yes

Yes

lock_expire_date

Date the loan lock expires

type: datetime

No

Yes

lock_status

Lock status

type: varchar, length: 32

Yes

Yes

appraisal_ordered_date

Date when the appraisal was ordered

type: datetime

No

Yes

appraisal_expected_date

Date when the appraisal is expected

type: datetime

Yes

Yes

appraisal_received_date

Date when the appraisal was received

type: datetime

Yes

Yes

appraised_value

Appraisal value

type: decimal, length: 10, decimals: 2

No

Yes

escrow_waived

Whether escrow was waived (0 = No, 1 = Yes)

type: tinyint, length: 1

Yes

Yes

referral_source

The source of the referral

type: varchar, length: 64

Yes

Yes

application_date

Application date

type: datetime

No

Yes

processing_start_date_estimated

Estimated processing submission date

type: datetime

No

Yes

processing_start_date

Date processing began for the loan

type: datetime

No

Yes

underwriting_submission_date_estimated

Estimated underwriting submission date

type: datetime

No

Yes

underwriting_submission_date

Date underwriting was submitted

type: datetime

No

Yes

underwriting_approval_date_estimated

Estimated underwriting approval date

type: datetime

Yes

Yes

underwriting_approval_date

Date underwriting was approved

type: datetime

No

Yes

approval_date_estimated

Estimated approval date

type: datetime

No

Yes

approval_date

Date the loan was approved

type: datetime

No

Yes

documents_signed_date

Date the documents were signed

type: datetime

Yes

Yes

funded_date

Date the funds were released

type: datetime

Yes

Yes

first_payment_date

Date of the first payment for the loan

type: datetime

No

Yes

closing_date_estimated

Estimated closing date

type: datetime

Yes

Yes

closing_date

Actual closing date

type: datetime

Yes

Yes

annual_review_date

Date of annual review for the loan

type: datetime

Yes

Yes

loan_arm_expiration_date

Date the ARM expires for the loan

type: datetime

Yes

Yes

created_date

Date the loan was created

type: datetime

No

Yes

external_last_modified_date

Date the loan was last modified

type: datetime

No

Yes

lien_position

Order of priority for the loan payment in the event of default

type: varchar, length: 50

No

Yes

amort_type

Amortization type

type: varchar, length: 50

No

Yes

amort_type_arm_desc

Type of ARM amortization

type: varchar, length: 50

No

Yes

resubmittal_date

Date the file is returned to underwriting after rejection

type: datetime

No

Yes

docs_out_date

Date the documents were sent to borrower & co-borrower

type: datetime

No

Yes

funds_requested_date

Date funds were requested

type: datetime

No

Yes

funding_date

Anticipated date funds are to be released

type: datetime

Yes

Yes

purchased_date

Date purchase occurred

type: datetime

No

Yes

completion_date

Date mortgage is completed and funds are disbursed

type: datetime

Yes

Yes

credit_report_date

Credit report date

type: datetime

No

Yes

credit_report_ordered_date

Credit report order date

type: datetime

No

Yes

ctc_date

Date the loan becomes clear to close

type: datetime

No

Yes

loan_date

Date of loan

type: datetime

Yes

Yes

closing_disclosure_out_date

Date the signed closing documents were issued to the buyer

type: datetime

Yes

Yes

closing_disclosure_signed_date

Date the signed closing documents were received from the buyer

type: datetime

No

Yes

county

County containing property

type: varchar, length: 50

Yes

Yes

debt_to_income

Debt to income ratio (float value)

type: decimal, length: 5, decimals: 4

Yes

Yes

investor

Name of the entity that has purchased this loan on the secondary market

type: varchar, length: 255

Yes

Yes

monthly_pi_payment

Dollar amount of monthly payment

type: decimal, length: 10, decimals: 2

Yes

Yes

Source

Business Channel

type: varchar, length: 255

Yes

Yes

pre_approval_issues

Pre-approval issues

type: text, length: 65,535

Yes

Yes

pre_approval_issued_date

Date the pre-approval was issued for the loan. Preferred format: ‘YYYY-MM-DD HH:mm:ss’

type: datetime

Yes

Yes

pre_approval_expiration_date

Date the pre-approval for the loan expires

type: datetime

Yes

Yes

epo_date

Early payoff date for the loan

type: datetime

No

Yes

audits_date

Date the auditor finished preparing the loan for shipping

type: datetime

No

Yes

post_closed_date

Date mortgage is completed, and funds are disbursed

type: datetime

Yes

Yes

buydown_points

Mortgage/discount points applied to the loan

type: decimal, length: 6, decimals: 3

Yes

Yes

monthly_pi_with_mi_payment

Dollar amount of monthly payment with mortgage insurance

type: decimal, length: 10, decimals: 2

 

Loan Detail

Visible in UI

Editable

Total Expert Fields

Description

Data Type

Yes

Yes

program

Program for the loan. Many-to-one relationship, so returned as an object.

type: varchar, length: 100

Yes

Yes

purpose

Purpose for the loan. Many-to-one relationship, so returned as an object.

type: varchar, length: 255

Yes

Yes

status

Status for the loan. Many-to-one relationship, so returned as an object.

type: varchar, length: 100

Yes

Yes

type

Type for the loan. Many-to-one relationship, so returned as an object.

type: varchar, length: 100

 

Borrower Fields

Visible in UI

Editable

Total Expert Fields

Description

Data Type

Yes

Yes

f_name Required

First name

type: varchar, length: 50

Yes

Yes

l_name Required

Last name

type: varchar, length: 50

Contact Level

Yes

suffix

Borrower’s suffix, e.g., “Jr.”, “II”, “III”, etc.

type: varchar, length: 128

Yes

Yes

email Required

Primary email (valid address only)

type: varchar, length: 254

Contact Level

Yes

email_work

Work email

type: varchar, length: 254

Contact Level

Yes

address Required

Address line 1

type: varchar, length: 255

Contact Level

Yes

city Required

City

type: varchar, length: 50

Contact Level

Yes

state Required

State

type: varchar, length: 2

Contact Level

Yes

zip Required

ZIP code

type: varchar, length: 10

Yes

Yes

employer

Employer’s name

type: varchar, length: 100

Yes

Yes

employer_address

Employer's address line 1

type: varchar, length: 255

Contact Level

Yes

employer_city

Employer's city

type: varchar, length: 255

Contact Level

Yes

employer_state

Employer's state

type: varchar, length: 100

Contact Level

Yes

employer_zip

Employer's ZIP code

type: int, length: 5

Yes

Yes

phone_home Required

Home phone number. Preferred format: ‘(555)555-1234’

type: varchar, length: 25

Yes

Yes

phone_cell Required

Cell phone number. Preferred format: ‘(555)555-1234’

type: varchar, length: 25

Yes

Yes

phone_office Required

Work phone number. Preferred format: ‘(555)555-1234’

type: varchar, length: 25

Yes

Yes

birthday

Borrower’s birthday formatted as a date with 1970 as the year. Preferred format: ‘1970-MM-DD’

type: date

Contact Level

Yes

credit_score

Credit score (must be one of: Excellent, Good, Fair, Poor, Very Poor)

type: enum

Contact Level

Yes

credit_score_date

Credit score date

type: date

Contact Level

Yes

credit_score_expire_date

Date the credit score expires

type: date

Contact Level

Yes

referred_by

Referred by

type: varchar, length: 64

No

Yes

married

Whether the contact is married (0 = No, 1 = Yes)

type: tinyint, length: 1

 

Co-Borrower Fields

Visible in UI

Editable

Total Expert Fields

Description

Data Type

Yes

Yes

f_name Required

First name

type: varchar, length: 50

Yes

Yes

l_name Required

Last name

type: varchar, length: 50

Contact Level

Yes

suffix

Co-borrower’s suffix, e.g., “Jr.”, “II”, “III”, etc.

type: varchar, length: 128

Yes

Yes

email Required

Primary email (valid address only)

type: varchar, length: 254

Contact Level

Yes

email_work

Work email

type: varchar, length: 254

Contact Level

Yes

address Required

Address line 1

type: varchar, length: 255

Contact Level

Yes

city Required

City

type: varchar, length: 50

Contact Level

Yes

state Required

State

type: varchar, length: 2

Contact Level

Yes

zip Required

ZIP code

type: varchar, length: 10

Contact Level

Yes

employer

Employer’s name

type: varchar, length: 100

Contact Level

Yes

employer_address

Employer's address line 1

type: varchar, length: 255

Contact Level

Yes

employer_city

Employer's city

type: varchar, length: 255

Contact Level

Yes

employer_state

Employer's state

type: varchar, length: 100

Contact Level

Yes

employer_zip

Employer's ZIP code

type: int, length: 5

Contact Level

Yes

phone_home Required

Home phone number. Preferred format: ‘(555)555-1234’

type: varchar, length: 25

Contact Level

Yes

phone_cell Required

Cell phone number. Preferred format: ‘(555)555-1234’

type: varchar, length: 25

Contact Level

Yes

phone_office Required

Work phone number. Preferred format: ‘(555)555-1234’

type: varchar, length: 25

Yes

Yes

birthday

Coborrower birthday, formatted as a date with 1970 as the year. Preferred format: ‘1970-MM-DD’

type: date

Contact Level

Yes

credit_score

Credit score (must be one of: Excellent, Good, Fair, Poor, Very Poor)

type: enum

Contact Level

Yes

credit_score_date

Credit score date

type: date

Contact Level

Yes

credit_score_expire_date

Date the credit score expires

type: date

Contact Level

Yes

relationship

Relationship to borrower

type: varchar, length: 32

Contact Level

Yes

referred_by

Referred by

type: varchar, length: 64

Contact Level

Yes

married

Whether the contact is married (0 = No, 1 = Yes)

type: tinyint, length: 1

 

Buyer’s Agent Fields

Visible in UI

Editable

Total Expert Fields

Description

Data Type

Yes

Yes

full_name

Full name

type: varchar, length: 50

Yes

Yes

email

Primary email (valid address only)

type: varchar, length: 254

Yes

Yes

phone_cell

Cell phone number. Preferred format: ‘(555)555-1234’

type: varchar, length: 25

Yes

Yes

phone_office

Work phone number. Preferred format: ‘(555)555-1234’

type: varchar, length: 25

Yes

Yes

employer

Employer’s name

type: varchar, length: 100

No

Yes

employer_license_number

The company’s license number

type: varchar, length: 64

No

Yes

license_number

The buyer’s agent’s license number

type: varchar, length: 64

Contact Level

Yes

email_work

Work email

type: varchar, length: 254

Contact Level

Yes

employer_address

Employer's address line 1

type: varchar, length: 255

Contact Level

Yes

employer_city

Employer's city

type: varchar, length: 255

Contact Level

Yes

employer_state

Employer's state

type: varchar, length: 2

Contact Level

Yes

employer_zip

Employer's state

type: varchar, length: 10

 

Seller’s Agent Fields

Visible in UI

Editable

Total Expert Fields

Description

Data Type

Yes

Yes

full_name

Full name

type: varchar, length: 50

Yes

Yes

email

Primary email (valid address only)

type: varchar, length: 254

Yes

Yes

phone_cell

Cell phone number. Preferred format: ‘(555)555-1234’

type: varchar, length: 25

Yes

Yes

phone_office

Work phone number. Preferred format: ‘(555)555-1234’

type: varchar, length: 25

Yes

Yes

employer

Employer’s name

type: varchar, length: 100

No

Yes

employer_license_number

The company’s license number

type: varchar, length: 64

No

Yes

license_number

The seller’s agent’s license number

type: varchar, length: 64

Contact Level

Yes

email_work

Work email

type: varchar, length: 254

Contact Level

Yes

employer_address

Employer's address line 1

type: varchar, length: 255

Contact Level

Yes

employer_city

Employer's city

type: varchar, length: 255

Contact Level

Yes

employer_state

Employer's state

type: varchar, length: 2

Contact Level

Yes

employer_zip

Employer's state

type: varchar, length: 10

 

Settlement Agent Fields

Visible in UI

Editable

Total Expert Fields

Description

Data Type

Yes

Yes

full_name

Full name

type: varchar, length: 50

Yes

Yes

email

Primary email (valid address only)

type: varchar, length: 254

Yes

Yes

phone_cell

Cell phone number. Preferred format: ‘(555)555-1234’

type: varchar, length: 25

Yes

Yes

phone_office

Work phone number. Preferred format: ‘(555)555-1234’

type: varchar, length: 25

Yes

Yes

employer

Employer’s name

type: varchar, length: 100

No

Yes

employer_license_number

The company’s license number

type: varchar, length: 64

No

Yes

license_number

The settlement agent’s license number

type: varchar, length: 64

Contact Level

Yes

email_work

Work email

type: varchar, length: 254

Contact Level

Yes

employer_address

Employer's address line 1

type: varchar, length: 255

Contact Level

Yes

employer_city

Employer's city

type: varchar, length: 255

Contact Level

Yes

employer_state

Employer's state

type: varchar, length: 2

Contact Level

Yes

employer_zip

Employer's state

type: varchar, length: 10

 

Attorney Fields

Visible in UI

Editable

Total Expert Fields

Description

Data Type

Yes

Yes

full_name

Full name

type: varchar, length: 50

Yes

Yes

email

Primary email (valid address only)

type: varchar, length: 254

Yes

Yes

phone_cell

Cell phone number. Preferred format: ‘(555)555-1234’'

type: varchar, length: 25

Yes

Yes

phone_office

Work phone number. Preferred format: ‘(555)555-1234’'

type: varchar, length: 25

Yes

Yes

employer

Employer’s name

type: varchar, length: 100

No

Yes

employer_license_number

The company’s license number

type: varchar, length: 64

No

Yes

license_number

The settlement agent’s license number

type: varchar, length: 64

Contact Level

Yes

email_work

Work email

type: varchar, length: 254

Contact Level

Yes

employer_address

Employer's address line 1

type: varchar, length: 255

Contact Level

Yes

employer_city

Employer's city

type: varchar, length: 255

Contact Level

Yes

employer_state

Employer's state

type: varchar, length: 2

Contact Level

Yes

employer_zip

Employer's state

type: varchar, length: 10

 

Contact Groups

Visible in UI

Editable

Total Expert Fields

Description

Data Type

Contact Level

Yes

borrowerContactGroup_name

Contact group

type: varchar, length: 50

Contact Level

Yes

coborrowerContactGroup_name

Contact group

type: varchar, length: 50


Data Content Definitions

LoanOfficer / external_idThis field is required field—a unique identifier of the loan officer that owns the contact or loan. The import or API will look for this during the process and tie each contact to a Loan Officer's external ID.

Note
Loan Officer external ID is required for all imports. Records without a Loan Officer external ID or where a Loan Officer external ID does not exist within TE will be skipped.

Warning
 
Cannot change loan assignment to another user instead a new record of loan will get record and assigned to another loan officer.

Loan / external_idThis field recommended—a unique identifier of the loan. This ID should never change during the lifetime of a loan. If an external ID is blank, the loan number should never change over the lifetime of a loan. If an external ID has a value, the loan number will update within TE if it changes, but the external ID does not change.

Loan / loan_numberThis field is required— loan records that do not have a loan number or have a 0 value will not qualify to import.

Loan / pre_approval_issued – Indicates if re-approval was issued for this loan (0 = No, 1 = Yes).

Loan / is_first_time_buyer – Indicates if the borrower is a first-time borrower (0 = No, 1 = Yes).

Loan / amount – The dollar amount of the loan.

Loan / rate – The interest rate of the loan.

Loan / term (Months) – The term of the loan.  

Loan / purchase_price – The purchase price for the loan.

Loan / loan_to_value_combined – Percentage ratio of loan amount to purchase price, including all loans on the property.

Loan / loan_to_value – Percentage ratio of loan amount to purchase price.

Loan / property_type – Type of property (for example: Condo or Single Family).

Loan / address_1 – Address 1 of the property.

Loan / city – City of the property.

Loan / state – State of the property.

Loan / zip – ZIP code of the property.

Note
 
Check business rule within Encompass to update the mailing address for the borrower and co-borrower (if applicable) to the subject property address only when the purchased milestone is complete for the primary residency purchase type. Otherwise, if a user wants to send a mailing, it will go to an obsolete address.

Loan / occupancy – Occupancy type of the property (for example: Owner).

Loan / estimated_value – Estimated value of the property.

Loan / lock_date – Date the loan was locked.

Loan / lock_expire_date – Date the loan lock expires.

Loan / lock_status – Lock status for the loan.

Loan / appraisal_ordered_date – Date when an appraisal of the property was ordered.

Loan / appraisal_expected_date – Date when the appraisal is expected.

Loan / appraisal_received_date – Date when the appraisal was received.

Loan / appraised_value – Appraised value of the property.

Loan / escrow_waived – Indicates whether escrow was waived (0 = No, 1 = Yes).

Loan / referral_source – Source the contact originated from

Loan / application_date – Date of the application for the loan. 

Loan / processing_start_date_estimated – Estimated date when the loan process will begin.

Loan / processing_start_date – Date processing began for the loan.

Loan / underwriting_submission_date_estimated – Estimated date when underwriting to assess the eligibility of the loan application will be submitted.

Loan / underwriting_submission_date – Date the file was submitted to underwriting department.

Loan / underwriting_approval_date_estimated – Date underwriting is expected for the loan.

Loan / underwriting_approval_date – Date that underwriting approved the file.

Loan / approval_date_estimated – Estimated date of loan approval.

Loan / approval_date – Date when loan was approved.

Loan / documents_signed_date – Date in which the borrower signed the documents

Loan / funded_date – Date the funds were released.

Loan / first_payment_date – Date of the first payment for the loan.

Loan / closing_date_estimated – Date of the closing for the loan.

Loan / closing_date – Actual close date.

Loan / annual_review_date – Date of annual review for the loan.

Loan / loan_arm_expiration_date – Date the ARM expires for the loan.

Loan / created_date – Date the loan application was created.

Loan / external_last_modified_date – Date the loan record was last modified.

Loan / lien_position – Ordered of priority for the loan payment in the event of default.

Loan / amort_type – Type of loan payments by equal periodic amounts (for example: Fixed or AdjustableRate).

Loan / amort_type_arm_desc – Type of ARM amortization (for example: Construction ARM Pri, 1YWCMT - 10/1 ARM 1)

Loan / resubmittal_date – If a loan is rejected during the underwriting stage and requires additional information from the borrower to proceed. This date indicates when it was resubmitted to underwriting.

Loan / docs_out_date – Date in which documents were sent to the borrower. 

Loan / funds_requested_date – Date funds were requested.

Loan / funding_date – Anticipated date funds will be released.

Loan / purchased_date – Date the purchase occurred.

Loan / completion_date – Date the mortgage is completed, and funds are disbursed 

Loan / credit_report_date – Date when the credit report was retrieved.

Loan / credit_report_ordered_date – Credit report ordered date

Loan / ctc_date – Clear to close date.

Loan / loan_date – Date on which a loan is made to the borrowers by the lender pursuant to this agreement.

Loan / closing_disclosure_out_date – Date the signed closing documents were issued to the buyer.

Loan / closing_disclosure_signed_date – Date the signed closing documents were received from the buyer.

Loan / county –  Property’s county that is used to target refinance.

Loan / debt_to_income – DTI ratio. Decimal – example 40% would be represented as 0.40

Loan / investor – Name of the entity that has purchased this loan on the secondary market

Loan / monthly_pi_payment – Dollar amount of monthly payment 

Loan / source – Business Channel

Note
 
In UI, the source field is displayed as Business Channel.

 

Loan / pre_approval_issues – Open text to provide information if there is an issue with the pre-approval process.

Loan / pre_approval_issued_date – Date the pre-approval was issued for the loan.

Loan / pre_approval_expiration_date – Date the pre-approval for the loan expires.

Note
 Displays in dashboard upon logging to TE loans that will reach expiration date in the next 30 days

Loan / epo_date – Early payoff date for the loan.

Loan / audits_date – Date the internal auditor completed their review and prepared the file for shipping.

Loan / post_closed_date – Date the mortgage is completed, and funds are dispersed.

Loan / buydown_points – Mortgage/discount points applied to the loan

Loan / monthly_pi_with_mi_payment – Dollar amount of monthly payment with MI

Loan / program – Program for the loan. This is a many-to-one relationship, so it is returned as an object of the loan program.

Loan / purpose – Purpose for the loan. This is a many-to-one relationship, so it is returned as an object. 

Loan / statusRecommended. Status for the loan. This is a many-to-one relationship, so it is returned as an object.

  • It has its journey trigger, allowing for customized management/marketing based on the milestone.
  • It is part of every in-line condition to use as criteria for customized management/marketing based on milestones.
  • It can trigger an action in an auto campaign.

Note
 
Loan Status in TE is the crucial mechanism for driving in-process loan communication to consumers and other loan participants. Your loan status in Total Expert should reflect those touchpoints you want to communicate with borrower/co-borrower. With Encompass status, it can often be a custom field that combines various milestones within each status. . In relation to Encompass statuses, it can often be a custom field that Encompass various milestones within each status.

Advantages:

 
• It has its journey trigger, allowing for customized management/marketing based on the milestone.
• It is part of every in-line condition to use as criteria for customized management/marketing based on milestones.
• It can trigger an action in an auto campaign.
 

Loan / type – Type for the loan. This is a many-to-one relationship, so it is returned as an object.

Borrower / f_nameThis field is required. The borrower’s first name. If there are not distinct first and last names available for any of the contacts associated with a loan, they can be replaced with full_name and they will be split into first and last name automatically by the importer or API.

Borrower / l_nameThis field is required. The borrower’s last name. If there are not distinct first and last names available for any of the contacts associated with a loan, they can be replaced with full_name and they will be split into first and last name automatically by the importer or API.

Borrower / suffix – Personal suffix to use in correspondence with the borrower (e.g., “Jr.”, “II”, “III”, etc.).

Borrower / email This field is required. Borrower’s email address.

Borrower / email_work – Borrower’s work email address.

Borrower / addressThis field is required. First line of the borrower’s address.

Borrower / cityThis field is required. Borrower’s city.

Borrower / stateThis field is required. Borrower’s state.

Borrower / zipThis field is required. Borrower’s ZIP code.

Warning
 
TE requires a complete physical address. If any part of the address is missing from a record, such as the Zip code, the loan record will not import.

Note
 
Check business rule within Encompass to update the mailing address for the borrower and co-borrower (if applicable) to the subject property address only when the purchased milestone is complete for the primary residency purchase type. Otherwise, if a user wants to send a mailing, it will go to an obsolete address.

Borrower / employer – Borrower’s employer.

Borrower / employer_address – First line of the borrower’s employer’s address.

Borrower / employer_city – Borrower’s employer’s city.

Borrower / employer_state – Borrower’s employer’s state.

Borrower / employer_zip – Borrower’s employer’s ZIP code.

Borrower / phone_homeThis field is required. Borrower’s home phone number. Preferred format: ‘(555)555-1234’

Borrower / phone_cellThis field is required. Borrower’s cell phone number. Preferred format: ‘(555)555-1234’

Borrower / phone_officeThis field is required. Borrower’s work phone number. Preferred format: ‘(555)555-1234’

Borrower / birthday – Borrower’s birthday, formatted as a date with 1970 as the year. Preferred format: ‘1970-MM-DD hh:mm:ss’.

Note
 
Date and time preferred in the format "YYYY-MM-DD hh:mm:ss."

Borrower / credit_score – Borrower’s credit score (must be one of: Excellent, Good, Fair, Poor, Very Poor).

Note
 
This field requires a custom field. Due to Infosec polices established by Total Expert, we cannot bring in numeric credit scores. However, we have a set up a field that will bring in credit information, but the only option is the categories (Excellent, Good, Fair, Poor, Very Poor).

Borrower / credit_score_date – Date when the credit score was retrieved for the borrower.

Borrower / credit_score_expire_date – Date when the credit score will expire.

Borrower / referred_by – Individual that referred the borrower.

Borrower / married– Whether the borrower is married (0 = No, 1 = Yes).

Co-Borrower / f_nameThis field is required. Co-borrower’s first name. If there are not distinct first and last names available for any of the contacts associated with a loan, they can be replaced with full_name and they will be split into first and last name automatically by the importer or API.

Co-Borrower / l_nameThis field is required. Co-borrower’s last name. If there are not distinct first and last names available for any of the contacts associated with a loan, they can be replaced with full_name and they will be split into first and last name automatically by the importer or API.

Note
 If records only have first and last names without other required fields will be skipped entirely.

Co-Borrower / suffix – Personal suffix to use in correspondence with the co-borrower (e.g., “Jr.”, “II”, “III”, etc.)

Co-Borrower / emailThis field is required. Co-borrower’s email address.

Co-Borrower / email_work – Co-borrower’s work email address.

Co-Borrower / address This field is required. First line of the co-borrower’s address.

Co-Borrower / cityThis field is required. Coborrower’s city.

Co-Borrower / stateThis field is required. Coborrower’s state.

Co-Borrower / zipThis field is required. Coborrower’s ZIP code.

Note
 
Check business rule within Encompass to update the mailing address for the borrower and co-borrower (if applicable) to the subject property address only when the purchased milestone finished for primary residency loan. The default address fields in Encompass for borrower and co-borrower do not auto-update to property address.

Co-Borrower / employer – Co-borrower’s employer.

Co-Borrower / employer_address – First line of the co-borrower’s employer’s address.

Co-Borrower / employer_city – Coborrower’s employer’s city.

Co-Borrower / employer_state – Coborrower’s employer’s state.

Co-Borrower / employer_zip – Coborrower’s employer’s ZIP code.

Co-Borrower / phone_homeThis field is required. Coborrower’s home phone number. Preferred format: ‘(555)555-1234’

Co-Borrower / phone_cellThis field is required. Coborrower’s cell phone number. Preferred format: ‘(555)555-1234’

Co-Borrower / phone_officeThis field is required. Coborrower’s work phone number. Preferred format: ‘(555)555-1234’

Co-Borrower / birthday – Co-borrower’s birthday, formatted as a date with 1970 as the year. Preferred format: ‘1970-MM-DD hh:mm:ss’’.

Note
 Date and time preferred in the format "YYYY-MM-DD hh:mm:ss."

Co-Borrower / credit_score – Coborrower’s credit score (must be one of: Excellent, Good, Fair, Poor, Very Poor).

Note
 
This field requires a custom field. Due to Infosec polices established by Total Expert, we cannot bring in numeric credit scores. However, we have a set up a field that will bring in credit information, but the only option is the categories (Excellent, Good, Fair, Poor, Very Poor).

Co-Borrower / credit_score_date –Date when the credit score was retrieved for the co-borrower.

Co-Borrower / credit_score_expire_date – Date when the credit score will expire.

Co-Borrower / relationship – Co-borrower’s relation to the borrower.

Co-Borrower / referred_by – Individual that referred the borrower.

Co-Borrower / married – Whether the co-borrower is married (0 = No, 1 = Yes).

BuyersAgent /full_name – First & last name of the buyer’s agent. The full_name will split into first and last name automatically by the importer or API.

BuyersAgent / email –Buyer’s agent’s email address.

BuyersAgent / phone_cell – Buyer’s agent’s cell phone number. Preferred format: ‘(555)555-1234’

BuyersAgent / phone_office – Buyer’s agent’s work phone number. Preferred format: ‘(555)555-1234’

BuyersAgent / employer – Buyer’s agent’s employer

BuyersAgent / employer_license_number – Buyer’s agent’s company license number.

BuyersAgent / license_number – Buyer’s agent’s license number.

BuyersAgent / email_work – Buyer agent’s work email address

BuyersAgent / employer_address – First line of buyer agent’s employer’s address.

BuyersAgent / employer_city – Buyer agent’s employer’s city.

BuyersAgent / employer_state – Buyer agent’s employer’s state.

BuyersAgent / employer_zip – Buyer agent’s employer’s zip code.

SellersAgent / full_name –  First and last name of seller agent, and full_name can be split into first and last name automatically by the importer or API.

SellersAgent / email – Seller agent’s email address.

Sellers Agent / phone_cell – Seller agent’s cell phone number. Preferred format: ‘(555)555-1234’

SellersAgent / phone_office – Seller agent’s work phone number. Preferred format: ‘(555)555-1234’

SellersAgent / employer – Seller agent’s employer

SellersAgent / employer_license_number – Seller agent’s company license number.

SellersAgent / license_number – Seller agent’s license number.

SellersAgent / email_work – Seller agent’s work email address

SellersAgent / employer_address – First line of seller agent’s employer’s address.

SellersAgent / employer_city – Seller agent’s employer’s city.

SellersAgent / employer_state – Seller agent’s employer’s state.

SellersAgent / employer_zip – Seller agent’s employer’s zip code.

SettlementAgent / full_name – First and last name of settlement agent or Escrow Company, and full_name can be split into first and last name automatically by the importer or API.

SettlementAgent / email – Settlement agent’s email address.

SettlementAgent / phone_cell – Settlement agent’s cell phone number. Preferred format: ‘(555)555-1234’

SettlementAgent / phone_office – Settlement agent’s work phone number. Preferred format: ‘(555)555-1234’

SettlementAgent / employer – Settlement agent’s employer

SettlementAgent / employer_license_number – Settlement agent’s company license number.

SettlementAgent / license_number – Settlement agent’s license number.

SettlementAgent / email_work – Settlement agent’s work email address

SettlementAgent / employer_address – First line of settlement agent’s employer’s address.

SettlementAgent / employer_city – Settlement agent’s employer’s city.

SettlementAgent / employer_state – Settlement agent’s employer’s state.

SettlementAgent / employer_zip – Settlement agent’s employer’s zip code.

Attorney / full_name – First and last name of attorney, and full_name can be split into first and last name automatically by the importer or API.

Attorney / email – Attorney’s email address.

Attorney / phone_cell – Attorney’s cell phone number. Preferred format: ‘(555)555-1234’

Attorney / phone_office – Attorney’s work phone number. Preferred format: ‘(555)555-1234’

Attorney / employer – Attorney’s employer

Attorney / employer_license_number – Attorney’s company license number.

Attorney / license_number – Attorney’s license number.

Attorney / email_work – Attorney’s work email address

Attorney / employer_address – First line of Attorney’s employer’s address.

Attorney / employer_city – Attorney’s employer’s city.

Attorney / employer_state – Attorney’s agent’s employer’s state.

Attorney / employer_zip – Attorney’s employer’s zip code.

ContactGroups – Choose to add or change contact group names if the business does not want to utilize the defaults. The contact group names, by default, are static. By default, TE bundles ContactGroup as follows:

  • Client (Borrower & Coborrower)
  • Buyer’s Agents
  • Seller’s Agents
  • Settlement Agents
  • Attorney

Note
 
Additional loan participants such as Processor, LOA, 2nd Buyer’s agent, etc. can be added

Where Does the Information Display in Total Expert

The more data information imported into TE, the more options loan officers will have to market to their customers. For example, auto-campaigns use loan data (such as loan EPO Date, loan lock date, loan underwriting approval date, or loan status).

When viewing a loan details page in TE, all the loan participants (such as borrower, co-borrower, buyer’s agent, seller’s agent, settlement agent, and attorney) will display on the left side. Information for the loan itself (such as loan date, loan term, loan status, and loan amount) appears on the right side.


 

Loan status / progress

 

In the loan view, some information for the buyer’s agent, seller’s agent, settlement agent, and an attorney will be displayed. The contact’s detail view will display additional information for each.

 

 

 

In the loan view, it displays details of the loan amount, rate, term, purchase price, etc., and loan-related dates (e.g., application date, closing date, funded date, etc.)

 

 

The loan view displays details of the loan property address, appraisal value, etc. 

Note: External ID is the loan GUID from LOS.

 

Loan details (continued).

 


 


 

 

 

Additional information is displayed on the contact’s detail page.

 



 How contacts that opt-out of email appear in UI.

Warning
 
Users do not have the ability to change the opt-out status manually or provide a contact import file with different status. TE will accept a forwarded message from a loan officer (or another person on behalf of our customer) and re-subscribe to the email address. There must be an email trail showing the contact asked to be re-subscribed. TE will not take a note stating the contact called in asking to be put back on to email lists, nor will TE accept a bulk list to re-subscribe contacts unless appropriate arrangements have been made.


 

FAQ

Q: How often does TE pull loan data from Encompass?
A: Our default setting is every hour. We can pull loan data every 30 or 15 minutes, but the Product team would like a use case provided when requesting to change the default instance.


Q: When hourly pull runs, how far back does TE pull data from?
A: Periodic pulls always look for "LastModified" DateTime on loans in the last three intervals. If a customer has hourly periodic pulls, each pull looks for any loan modified in the previous 3 hours to have redundancy. For example, suppose the systematic data pull at 1215 UTC would be looking for loans modified after 0915 UTC the same day.


Q: What field does Total Expert look at to identify which loans we pull every hour?
A: We look at the "LastModified" DateTime on loan.


Q: How many loans does TE fetch in each API call?
A: Integer, 1-25000 (EllieMae’s max). Defaults to 1000. Governs how many loans we fetch in each API call.

Q: Can TE schedule a historical pull for a specific date/time?
A: Yes, we can schedule historical pull ahead of time.

Q: Can customers add specific fields such as contact birthday as part of the required fields for contact dedupe?
A: Our standard importer required fields to add a contact listed below. These are part of our de-dupe logic across all customers. We cannot add a specific data field as part of the required fields for one particular customer.

  • Contact Must Have:
    1. First Name & Last Name
  • At least one of the following:
    1. Address (address, city, state, and zip)
    2. Email address
    3. Phone Cell
    4. Phone Home
    5. Phone Office

Q: If a loan in a synced folder is updated and then moved to a non-sync folder, does it still send the update to TE?
A: No, if a loan gets moved to a folder that we don't have access to, we can't access that loan anymore. If a loan was in "Started" status and it got moved to a folder that we do not have access to the loan status to "Completed," it will still reflect in TE as "Started."

Q: Does changing folders count as an update to the loan/contact and send it to TE?
A: We pull loan data on the "LastModified" DateTime field. For example, we will pull if a modified DateTime stamp gets updated when moving a new loan folder.

 

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