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Tranche 2 started 1 July — AML/CTF obligations now extend beyond financial services.

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WatchEyeOnboarding & monitoring

Customer onboarding, screening and ongoing monitoring in one system, with real-time KYC and KYB alerts when a customer's risk changes.

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IDFEX ID CheckIdentity verification

One-to-one identity, document and data checks against the DVS and Australian data sources, run from the Portal or by API.

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ID PassSelf-service verification

Customers verify their own identity and biometrics from a link on their phone. The result comes back to you, and they keep control of their data.

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InsiightData quality

Verifies, corrects and enriches customer records so they stay accurate — one at a time or across your whole database.

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Australian Death CheckDeceased data

The official national death data source. Match your records against it to find and remove deceased individuals.

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QuesterMarketing lists

Build targeted, privacy-compliant Australian marketing lists with smart filters. Pay only for the records you download.

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verified_userVerify identities7 solutions

Confirm a person or business is who they claim to be: government IDs, biometrics, business registries and employment checks against authoritative Australian sources.

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Meet AUSTRAC obligations and understand customer risk: screening, risk assessment, fraud controls and investigation tools with evidence recorded for each check.

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databaseImprove your data3 solutions

Keep customer records accurate and put them to work: correct and enrich existing data, unify it into a single view, or build compliant marketing lists from opted-in records.

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monitoringWatchEye API14 categories

The WatchEye API gives programmatic access to everything in WatchEye: PEP and sanctions screening, identity checks, IDPass verifications, monitoring programs, events and reports.

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policyAML & screening6 use cases

Obligations under the AML/CTF Act, from screening at onboarding through to ongoing monitoring — with the evidence for each check recorded.

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how_to_regOnboarding & identity3 use cases

Verifying who a customer, employee or account holder is — at sign-up and during ongoing checks — against authoritative Australian sources.

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databaseData & enrichment4 use cases

Keeping customer records accurate, current and complete: validate contact detail, fill the gaps, locate people and remove deceased records.

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Payroll and Super Check

Payroll and Super Check API

POST
/payroll_super_check
LIVE

Runs a Payroll Check and a Super Check in a single call, with independent consent flags for each dataset. You get separated super and payroll result objects in the response. Lets your workflow react to a match in either dataset without two round-trips

Example Request

POST
request.json
key Auth: BearerAuth
{
  "first_name": "John",
  "middle_name": "James",
  "last_name": "Doe",
  "birth_date": "1990-01-01",
  "address": {
    "street_address": "4/123 Fake Street",
    "suburb": "Fakeville",
    "state": "VIC",
    "postcode": "3987"
  },
  "email": "john@example.com",
  "phone": "0400123456",
  "employer_abn": "12345678901",
  "super_consent": true,
  "payroll_consent": true
}

Request Schema

super_consent
Required
boolean

Individual's consent to search super records.

payroll_consent
Required
number

Individual's consent to search payroll records.

first_name last_name birth_date
Required
string

Minimum required for a valid lookup.

middle_name
Optional
string

Optional Middle name.

address
Optional
object · (street_address, suburb, state, postcode)

Address components for cross-matching.

email
Optional
string

Additional fields evaluated for match outcome.

phone
Optional
string

Additional fields evaluated for match outcome.

employer_abn
Optional
string

Additional fields evaluated for match outcome.

Available Response Data

13 Data Points
01
data_object

Super: Person

returned as MATCHED or UNMATCHED based on first_name + last_name + birth_date

02
person

Super: Middle_name

returned as MATCHED or UNMATCHED.

03
location_on

Super: Address

returned as MATCHED or UNMATCHED.

04
alternate_email

Super: Email

returned as MATCHED or UNMATCHED.

05
alternate_email

Super: Phone

returned as MATCHED or UNMATCHED.

06
data_object

Super: Employer_abn

returned as MATCHED or UNMATCHED.

07
data_object

Payroll: Person

returned as MATCHED or UNMATCHED based on first_name + last_name + birth_date

08
person

Payroll: Middle_name

returned as MATCHED or UNMATCHED.

09
location_on

Payroll: Address

returned as MATCHED or UNMATCHED.

10
alternate_email

Payroll: Email

returned as MATCHED or UNMATCHED.

11
alternate_email

Payroll: Phone

returned as MATCHED or UNMATCHED.

12
data_object

Payroll: Employer_abn

returned as MATCHED or UNMATCHED.

13
fingerprint

API reference UUID

lock Full API documentation provided after vetting from our compliance team.
By The Numbers

API Data Scale & Coverage tag

Unmatched data depth to power your compliance and verification workflows.

50M+
Phone & Email Records
40M+
Adverse Court Records
2BN+
Australian Universe Records
18M+
Real Estate Records
7M+
Deceased Records
980M+
Social Media & Employment Records
Practical Applications

Technical Use Cases tag

policy

Higher-assurance KYC

Match identity against both employment datasets in one call to satisfy stricter KYC controls. Relevant for enhanced due diligence customers, sponsored visa holders and high-value account openings.

compare_arrows

Discrepancy detection

When payroll and super disagree on something like address or employer ABN, that's worth surfacing. Might be a customer in transition, or a data hygiene issue worth investigating.

Trust & Assurance

Compliance & Security tag

Enterprise-grade infrastructure audited against the standards your regulators require.

verified_user
ISO 27001 Certified
enhanced_encryption
AES-256 Encryption
public
Australian Data Sovereignty
Integration & Support

Common Questions tag

Everything you need to know about implementation details and compliance infrastructure.

rocket_launch Implementation

Do I need both consent flags?

add

At least one of super_consent or payroll_consent has to be true. If you only set one, only that dataset is searched and the other object doesn’t appear in the response.

help_center General

Why might payroll and super give different match outcomes?

add

They’re independent datasets. Payroll updates more frequently (each pay cycle). Super can lag if a person’s address or details have changed. Differences usually mean a stale record on one side, or a person whose details have changed recently.

Try it Live

API Testing Sandbox tag

Test the Payroll and Super Check API directly in your browser with live mock data and see instant results.

rocket_launch Request Sandbox Access

Access to live sandbox environments requires manual approval from our compliance team.

Enquire now

Ready to integrate Payroll and Super Check API?

Talk to our team about credentials, sandbox access and the right combination of endpoints for your workflow.

Call 03 9948 4089 · sales@globaldata.net.au