Tartan’s Product Update — January 2022

The first month of the year was packed with action—phew! As we kicked off 2022, our focus was clear: deepen the quality of data we provide and make payroll-linked verification more powerful for our customers.

Here’s a look at what we achieved in January.

Data is great—if it has depth

Reliable decisions don’t come from surface-level signals. They come from depth, consistency, and context.

Over the past month, our team has significantly expanded the depth of data available through Tartan’s Payroll APIs. We’ve increased overall data coverage by 100%, enabling access to an average of 30+ structured data points per applicant.

This richer dataset helps businesses move beyond basic verification and toward more informed underwriting, onboarding, and eligibility decisions.

What kind of data do we now support?

We’ve organized these data points into clear, usable categories to make integration and consumption easier across workflows.

Personal Details

Core identity and employment-linked identifiers, including:

• Aadhaar-related references

• PF and UAN details

• Date of birth

• Gender and other demographic attributes

These data points help strengthen identity confidence and reduce reliance on manual documentation.

Work Profile

Information that provides visibility into an applicant’s current employment status:

• Date of joining

• Work email and phone number

• Manager name

• Employment type (permanent or contractual)

• Time type (full-time or part-time)

This data enables better assessment of employment stability and role context.

Income Details

Structured salary and compensation information, including:

• Basic salary

• HRA and other allowances

• Income tax components

• Pay structure details

These signals are critical for income validation, eligibility checks, and risk assessment.

Bank Details

Verified payment and payroll-linked banking information:

• Bank account number

• IFSC code

• Account holder name

• Mode of salary payment

This helps reduce payout errors, fraud risk, and reconciliation effort.

Career Details

Historical employment information that adds longitudinal context:

• Previous employer name

• Previous role or designation

• Job location and work history signals

These data points support deeper employment continuity and career progression analysis.

Why this matters

By expanding data depth across payroll-linked APIs, businesses can:

• Make stronger, more confident decisions

• Reduce dependency on document uploads

• Minimize manual verification effort

• Build faster, cleaner onboarding journeys

This update lays the foundation for more intelligent, automated workflows powered by trusted payroll data.