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1.0.1Published Mar 4, 2026@pasar6987/sf-financial-services-banking-lending
Where financial dreams meet paperwork. Manages loan applications, applicant profiles, residential mortgages, and all the moving parts of the lending pipeline from intake to closing.
Published package · Latest published 1.0.1 Mar 4, 2026 · 13 datasets / 80 measures in the latest review · Updated Mar 11, 2026
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@pasar6987Published Mar 4, 2026Structure snapshot
13 datasets80 measures · 363 dimensionsSemantic Graph
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Secondary package facts stay compact
- Updated
- Mar 11, 2026
- Visibility
- Public hub listing
- License
- MIT
- Created
- Mar 4, 2026
Reference facts
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After structure review, move straight into typed reads with load() or compact LLM context with to_prompt().
Python SDK
Python example for @pasar6987/sf-financial-services-banking-lending
This example uses the current package ref and, when preview data is available, fills in real dataset names from the published summary.
import rawctx
model = rawctx.load("@pasar6987/sf-financial-services-banking-lending")
prompt = rawctx.to_prompt(
"@pasar6987/sf-financial-services-banking-lending",
datasets=["LoanApplicant", "LoanApplicantAddress"],
max_tokens=2000,
)
print(model.datasets) # ["LoanApplicant", "LoanApplicantAddress", "LoanApplicantAsset"]
print(model.measures) # [Measure(name="LoanApplicant.DependentCount", ...), Measure(name="LoanApplicant.MilitaryTourExpirationMonth", ...), Measure(name="LoanApplicant.MilitaryTourExpirationYear", ...)]
print(model.dimensions) # [Dimension(name="ApplicantExtIdentifier", ...), Dimension(name="AsianRaceSubType", ...), Dimension(name="BorrowerType", ...)]
print(model.relationships) # [Relationship(name='...', ...)]
print(prompt)README
Package narrative and examples
Use documentation after the package clears provenance, ownership, and runnable-path checks.
@pasar6987/sf-financial-services-banking-lending
Where financial dreams meet paperwork. Manages loan applications, applicant profiles, residential mortgages, and all the moving parts of the lending pipeline from intake to closing.
Overview
| Count | |
|---|---|
| Objects (Datasets) | 13 |
| Dimensions | 363 |
| Measures | 80 |
| Relationships | 19 |
Objects
- LoanApplicant — Represents details of the borrower or co-borrower for the loan application.
- LoanApplicantAddress — Represents borrower's or co-borrower's current address information.
- LoanApplicantAsset — Represents a junction between a borrower and a loan application asset.
- LoanApplicantDeclaration — Represents financial issues like foreclosure, lawsuits, or defaults of the applicant or co-applicant.
- LoanApplicantEmployment — Represents details about the borrower's or co-borrower's current and past employment.
- LoanApplicantIncome — Represents details about the borrower and co-borrower current monthly income.
- LoanApplicantLiability — Represents a junction between a borrower and a loan application liability.
- LoanApplicationAsset — Represents details about the borrower's and co-borrower's current personal and real property.
- LoanApplicationFinancial — Represents transaction details for a loan application.
- LoanApplicationLiability — Represents details about the borrower and co-borrower current liabilities.
- LoanApplicationProperty — Represents details of the property the loan application finances.
- LoanApplicationTitleHolder — Represents details of borrowers who are applying to hold title to the property the loan application finances.
- ResidentialLoanApplication — Represents details about a loan application from the lender.
Install
rawctx snapshot-download @pasar6987/sf-financial-services-banking-lending
Structure review
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Use the structural review when you need the package footprint, field counts, and model paths before a deeper explorer pass.
