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Person Report API and New Zealand identity checks are now live.

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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 & screening5 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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Likeness Check

Likeness Check API

Likeness Check compares two face images, a reference such as the portrait on an identity document and a probe such as a selfie, and returns a similarity score with a pass or fail against a threshold. It answers whether the two images are likely to be the same person.

  • A similarity score from the biometric engine and a biometric passed flag, evaluated against your threshold or the system default
  • Two images as base64 JPEG or PNG, up to 5 MB each, in one call with no polling
For developers

After the technical detail?

For the technical detail, go to the API documentation. It holds the request and response schema, the integration guides and the error codes for this endpoint.

  • Request and response schema
  • Threshold behaviour and error handling
View developer documentation

Accounts start in the sandbox. Production keys are issued once the account is approved.

Encrypted in transit and at rest Handled under the Australian Privacy Principles
What the check gives you

Confirming the person presenting a document is the person in its photo

A genuine document in the wrong hands passes a document check. Likeness Check closes that gap: it takes the portrait from the document and a live image of the person and reports how alike the two faces are. The threshold decides the pass, and both the score and the threshold used are returned so the decision can be audited.

How alike the faces are

The result carries a similarity score from the biometric engine, where higher means more similar.

Whether it passed

The biometric passed flag is true when the similarity is at or above the threshold.

Which threshold was applied

The result carries the threshold used, either the value you sent from 0 to 100 or the system default.

When a face cannot be found

A processing problem such as no face found is returned as a 400 response with a descriptive message rather than a low score.

Reading the result

What each answer means for the record in front of you

The flag is the decision and the score is the evidence. Store both.

Passed

The faces are alike enough

The similarity score reached the threshold. The two images are likely to be the same person.

Not passed

The faces are not alike enough

The similarity score fell below the threshold. Review the images or ask for a new capture before declining.

What it costs

A monthly subscription, drawn down as you run checks

Your subscription is credited to your account each month and each check consumes credits from it. If you go past the included amount, further checks are charged at a per-check rate. The rate depends on the volume you commit to, so the sales team is the fastest way to find where your business lands.

  • Volume-based pricing
  • No lock-in contract
How billing works
Subscribe monthly, spend it as credits
  • The monthly subscription arrives as credits on your account.
  • Each check draws down credits as it runs.
  • Checks beyond the included credits are billed per check.
  • Higher monthly volume moves you to a lower rate.
Talk to sales about volume
Related checks

Others in identity and face

Create a Liveness Check confirms the person is physically present. Extract ID Document Data supplies the document portrait this check compares against. ID Pass runs all three in a hosted flow.

Questions

Questions we get asked about Likeness Check

Do we need a developer to implement this?
Yes. Likeness Check is a REST endpoint that takes two base64 images in a JSON request and returns a JSON result, so a developer connects it to your capture flow. A sandbox with a deterministic test dataset is provided at no usage cost, so the integration can be built and tested before production keys are issued.
What does our system need to send?
A reference image and a probe image, each as a base64 data URI or raw base64, in JPEG or PNG format and no larger than 5 MB. Optionally a similarity threshold from 0 to 100 to override the default.
What comes back?
A result with the similarity score, the threshold applied and the biometric passed flag, plus an API reference for the audit trail.
What is a good threshold?
The documentation does not prescribe one; a system default is applied when none is sent, and the threshold used is returned with the result. Set it according to the risk of the decision it gates.
Are the images we send stored by Global Data?
Personally identifiable information sent in a request is not stored or retained unless it is needed to process that request. Query data is stripped of PII before it is kept for audit. Data in transit and at rest is encrypted, and retention follows the Australian Privacy Act and the Australian Privacy Principles. Global Data is not a credit bureau and does not create an access footprint on any record.
How many calls can we make?
The API allows 600 requests per minute by default, measured as a rolling average, and returns a 429 response above that rate. A higher limit can be requested through Global Data support with a description of the operational need.
Getting started

The first step to access is a conversation

New accounts begin with sandbox access, and production API keys are issued once the account has been commercially approved.

Call 03 9948 4089, 9am–5pm AEST Monday to Friday

Encrypted in transit and at rest
Handled under the Australian Privacy Principles
ISO 27001 Certified