Close-up of a scientist holding a tray of petri dishes with purple cultures, wearing gloves and safety gear.

Private APIs

Verify and onboard customers without exposing customer identifiers

Private APIs simplify customer onboarding
for verifiers & vendors

For Verifiers

For Vendors

Never share any customer identifiers

Retain control of your datasets, preventing risk of misuse and breaches

Access rich inferences from trusted sources

For Verifiers

For Vendors

Never share any customer identifiers

Retain control of your datasets, preventing risk of misuse and breaches

Access rich inferences from trusted sources

Verification today poses
multiple risks & problems

More data exists, but cannot be used safely

Organisations want to use richer datasets (telecom, behavioural, transactional, network-level signals), but

  • Consent becomes complex & lacks proofs of proper enforcement

  • On-prem deployments are often not possible

  • Proprietary datasets cannot be shared without leakage risk

Regulation is catching up to reality

DPDP doesn’t just see privacy as a policy issue, it treats it as an architectural obligation.

Verification is bogged down by competitive priorities

Verification workflows naturally carry contextual & commercially valuable information such as potential target customer segments, cohorts with high intent, acquisition pipelines and more.

Trust cannot be contractual alone.
It must be architectural.

Same workflows, different guarantees

Private APIs ensures only inference exchange without revealing user identifiers

Unlocking a New Class of Private APIs

Verification APIs

Confirm attributes such as identity validity, account existence, or eligibility

Fraud & risk APIs

Return risk scores, flags, or network-level signals derived from consortium or proprietary datasets

Behavioural & intent APIs

Surface patterns, intents, segments, or propensity scores computed over sensitive behavioural data

KYC APIs

Validate compliance requirements and onboarding checks

and more…