What is the difference between Score, Intelligence, and Owner?
Phone or Email Score, Phone or Email Intelligence, and Phone or Email Owner represent three tiers of identity depth within Pipl Elements, each built for a different decisioning moment.
The Score tier delivers real-time identity signals for high-volume decisioning at signup, login, and checkout, including recency context such as first seen and last seen indicators.
The Intelligence tier goes deeper, cross-referencing the identifier against the attributes connected to it in Pipl's identity graph to resolve edge cases and noisy environments where baseline signals are insufficient.
The Owner tier delivers Pipl's highest-confidence resolution, drawing on the world's largest identity resolution for decisions that require certainty.
Teams can deploy one tier independently or combine them depending on where each level of evidence is needed. All three tiers are powered by Elephant, Pipl's specialist large risk model, and trace back to the same 20-year foundation of identity data.
What makes Pipl's identity intelligence different from other identity providers?
Pipl's identity intelligence has three distinct characteristics.
First, depth: identity data has been collected and refined for over 20 years, predating the era of AI-generated identifiers and synthetic profiles, giving Pipl reference signals that newer datasets can't replicate.
Second, scale: Pipl's global identity graph connects 1 trillion fragments of identity data into 5 billion resolved identities, refreshed at 2 billion updates per day.
Third, the model: Elephant, Pipl's specialist large risk model, is purpose-built for payment and identity fraud rather than adapted from a general-purpose LLM, connecting fragments into resolved identities and surfacing patterns across phone and email identifiers that isolated records don't reveal.
Combined, these make Pipl's identity intelligence uniquely suited to fraud and risk teams that need defensible identity evidence in an era of synthetic and AI-generated fakes.
How does Identity Elements fit into existing fraud models and workflows?
Pipl Elements is designed to plug into existing fraud models, rules, and workflows without requiring structural changes to the decision engine already in place.
Teams call the phone or email products at the moments where identity quality matters most: signup, login, checkout, account creation, or any decisioning point where stronger identity evidence improves model precision.
The outputs pass directly into existing decisioning logic, whether that's a custom fraud model, a rules engine, or a third-party decisioning platform.
Decision ownership stays with the team, no external scoring logic is introduced, and the modular structure means teams can add one tier at a time rather than committing to a full integration upfront.
Which tier should my team start with?
The Score tier is the natural starting point for most teams. It delivers real-time identity signals at production scale with minimal integration complexity, requires only a phone or email identifier, and returns signals in milliseconds, making it the lowest-overhead way to strengthen existing fraud models.
Many teams start with a single concrete win, like reducing SMS OTP costs at signup by clearing legitimate users without a challenge. Teams that find baseline signals insufficient in specific markets or edge cases typically add the Intelligence tier, and the Owner tier fits high-value decisions, account takeover protection, and regulated environments where resolution certainty matters.
As decisioning needs grow beyond a single identifier, Pipl Trust extends the same Elephant foundation to full transaction scoring.
What phone and email data does Identity Elements return?
The data returned varies by tier. The Score tier returns real-time identity signals including recency indicators (first seen and last seen), velocity context, and risk patterns associated with the phone number or email address.
The Intelligence tier returns richer context, cross-referencing the identifier against connected attributes in Pipl's identity graph and surfacing relationships and consistency patterns that surface-level signals can't reveal.
The Owner tier returns Pipl's highest-confidence identity resolution, drawn from the global identity graph of 5 billion resolved identities, with supporting evidence such as identity attribution, relationship context, and validation indicators.
Every tier's output is designed to feed directly into your own models, rules, and review tools; the signals and evidence are yours to weigh, and the decision logic stays with your team.
How does Identity Elements support global deployments?
Pipl Elements is built for use across regions, languages, and data ecosystems.
The Score and Intelligence tiers are powered by Elephant, Pipl's specialist large risk model, which reflects the fraud patterns and conditions of the environment it operates in rather than applying generic logic across different markets.
The Owner tier draws on Pipl's global identity graph, which spans more than 5 billion identities across 150+ countries, including emerging markets, mobile-first identity ecosystems, and geographies where standard identity verification tools have coverage gaps. Teams operating across multiple geographies can apply consistent identity intelligence without relying on region-specific assumptions that create coverage gaps.
