Identify Every Device. Detect Every Signal
Prime AI Telemetry API gives your backend a persistent device ID for every visitor, plus real time risk signals such as VPN/proxy usage, private browsing, browser tampering, developer tools activity, automation and device consistency checks.
You receive accurate API payload from European technology partner. Your team controls the rules, scoring and business logic.
What Prime AI Telemetry API gives you
Persistent Device ID
Recognise returning visitors before login, signup or checkout. Even in closed ecosystems like iFrames.
Real-Time Risk Signals
Detect VPNs, proxies, private browsing, bots, developer tools activity and browser tampering.
Backend-Ready Payload
Send structured device and session intelligence into your own backend, database, rules engine or risk model.
Your Rules, Your Logic
Prime AI provides the signals. Your team decides whether to approve, block, challenge, review or monitor.
| Identifier | Main weakness | Prime AI Persistent Device ID + Risk Signals |
|---|---|---|
| Cookies, Local Storage & IndexedDB | Can be cleared, restricted or unavailable in some browser contexts | Persistent device level recognition |
| IP address | Can rotate, be shared, masked by VPNs or proxies | Network risk and device consistency checks |
| Logged-in customer ID | Only works after the user logs in | Persistent Device ID before login, signup or checkout |
| Email address | Often appears too late in the process (checkout or signup), or simply evaded as anonymous guest | Earlier anonymous session recognition |
| Iframe storage | May be blocked or restricted by browsers | Additional device intelligence layer for embedded products |
| Analytics ID | Built for reporting, not risk decisions | Structured risk signals for backend systems |
Why standard identifiers fail
“request_id”: “req_92h3k7”,
“device_id”: “dev_8f72a9c1”,
“device_confidence”: “high”,
“session”: {
“private_browsing_indicator”: true,
“developer_tools_indicator”: false,
“browser_tampering_indicator”: true,
“automation_indicator”: false
},
“network”: {
“vpn_indicator”: true,
“proxy_indicator”: false,
“data_center_ip_indicator”: true,
“timezone_mismatch”: true
},
“risk”: {
“risk_level”: “elevated”,
“recommended_action”: “customer_defined”
}
}
Example API payload
Persistent Device ID
Generate a stable device identifier to help recognise returning devices across sessions.
This helps your system understand when the same device comes back, even when standard identifiers such as cookies, IP addresses or login data are limited.
Useful for:
- Anonymous visitor recognition
- Guest checkout abuse detection
- Multi-account detection
- Trial abuse prevention
- Promo abuse detection
- Serial returner detection
Incognito and Private Browsing Indicators
Identify sessions where browser privacy mode or storage restrictions may limit standard tracking.
Private browsing is not always suspicious, but it becomes valuable when combined with other signals such as VPN usage, repeated account creation, failed payments or unusual checkout behaviour.
Useful for:
- Anonymous session monitoring
- Risk scoring
- Trial abuse prevention
- Account abuse detection
- Checkout risk enrichment
Developer Tools and Browser Tampering Signals
Detect technical signals that may indicate browser manipulation, spoofing or unusual user-agent behaviour.
This helps your team identify sessions where the browser environment does not match normal customer behaviour.
Useful for:
- Anti-abuse systems
- Bot detection
- Scraping prevention
- Payment fraud monitoring
- High-risk session flagging
Bot and Automation Signals
Identify traffic that may be generated by headless browsers, scripts or automated tools.
Prime AI Telemetry API helps your backend distinguish between normal users and sessions showing signs of automation.
Useful for:
- Fake account prevention
- Credential stuffing detection
- Scraping detection
- Checkout abuse detection
- Inventory abuse prevention
- Form spam prevention
VPN and Proxy Signals
Generate a stable device identifier to help recognise returning devices across sessions.
This helps your system understand when the same device comes back, even when standard identifiers such as cookies, IP addresses or login data are limited.
Useful for:
- Anonymous visitor recognition
- Guest checkout abuse detection
- Multi-account detection
- Trial abuse prevention
- Promo abuse detection
- Serial returner detection
Device Consistency Checks
Compare device, browser, network and session signals to identify inconsistencies.
This can help detect spoofing, abnormal browser environments, anti-detect tools or sessions where the reported browser data does not align with expected behaviour.
Useful for:
- Risk scoring
- Authentication checks
- Marketplace trust and safety
- Suspicious session monitoring
- Custom fraud models
Core device and session signals
| Industry | Problem | How Prime AI Telemetry API helps |
|---|---|---|
| E-commerce | Guest checkout abuse, serial returners, promo abuse | Links anonymous sessions and devices before checkout |
| Shopify apps | Limited customer identity before login or purchase | Adds persistent device intelligence layer |
| Embedded SaaS | Iframe storage and third party cookie limitations | Supports identity continuity for embedded tools |
| Marketplaces | Fake accounts, duplicate sellers, buyer abuse | Detects repeated device usage across accounts |
| Fintech | Suspicious onboarding, payment risk, multi-accounting | Enriches risk scoring with device and network signals |
| Gaming / betting | Bonus abuse, account farming, VPN usage | Detects repeat devices, VPNs, proxies and automation |
| SaaS | Trial abuse, account sharing, bot signups | Recognise returning devices beyond cookies and emails |
| Paywalls | Repeated free access or trial exploitation | Adds device-level continuity beyond cookies |
Where Prime AI Telemetry API can be used
Embedded SaaS identity continuity
Help SaaS widgets and third-party tools recognise returning devices even when iframe-based cookies or storage are restricted.
Useful for apps installed across Shopify, WooCommerce, BigCommerce, Magento / Adobe Commerce and Custom Websites.
Paywall and trial abuse prevention
Recognise returning devices trying to access repeated free trials, introductory offers or restricted content.
Instead of relying only on email, cookies or IP address, your backend can use persistent device intelligence as an additional risk layer.
Multi-account detection
Recognise when several accounts appear to be connected to the same device.
This is useful for marketplaces, SaaS platforms, fintech products, gaming platforms and e-commerce businesses.
Guest checkout abuse detection
Detect when the same device repeatedly uses guest checkout with different email addresses, names or shipping details.
This is especially useful for e-commerce stores where customer accounts are optional and many purchases happen without login.
Serial return and refund abuse detection
Identify devices repeatedly linked to refund-heavy behaviour.
Retailers can use Prime AI Telemetry API to connect suspicious patterns across guest checkout, different email addresses and multiple customer accounts.
Promo and discount abuse prevention
Detect devices repeatedly attempting to use first-order discounts, referral offers, welcome codes or promotional campaigns across multiple identities.
Payment and checkout risk enrichment
Send device intelligence into your payment risk logic before accepting an order.
For example, your backend can treat a session differently when a new account, VPN usage, private browsing and browser tampering (developer panel opnen) appear together.
Bot and scraping protection
Detect automation signals before bots reach sensitive workflows such as login, registration, checkout, inventory pages or forms.
Your system can then decide whether to block, challenge, rate limit or monitor the session.
USE CASES
Works where iframe-based tracking is limited
Many SaaS products and embedded widgets run inside third-party websites using scripts or iframes.
This creates an identity problem.
Browsers increasingly restrict third-party cookies and cross-site storage, especially in embedded third-party contexts. MDN explains that embedded cross-site documents may need to check whether they have access to third-party cookies and unpartitioned state before reading or writing cookies.
Prime AI Telemetry API gives embedded products an additional device intelligence layer.
Instead of relying only on third-party cookies, iframe storage or local browser identifiers, your backend can receive a device and session signal payload that supports more reliable visitor recognition and risk analysis.
This is useful for:
- Embedded e-commerce widgets
- Size recommendation tools
- Visual search widgets
- Review platforms
- Loyalty platforms
- Referral and affiliate tools
- Paywall widgets
- Embedded finance tools
- Fraud and risk tools
- SaaS products installed across many merchant websites
Prime AI Telemetry API helps your product maintain better identity continuity when standard browser storage is restricted.
Comment ça marche
Add the Script
Install the lightweight Prime AI script on your website, application or embedded widget.
Evaluate Device
The script instantly evaluates the device, session context, and network path without impacting load times.
Receive Payload
Your backend receives a structured JSON payload containing a persistent device ID and real-time risk indicators.
Tarification
Sandbox
The perfect environment to test our latency and signal accuracy.
- 5,000 API Calls
- Persistent Device ID
- Incognito & Private Browsing
- Developer Tools Detection
Démarrage
Reliable telemetry for growing checkouts and platforms.
- 50,000 API Calls included
- Persistent Device ID
- Incognito & Private Browsing
- VPN & Proxy Detection
- Standard Support
Croissance
Advanced behavioral signals and tampering detection.
- 250,000 API Calls included
- Everything in Starter, plus:
- Developer Tools Detection
- Browser Tampering Flags
- Bot & Automation Signals
FAQ
Do you provide a fraud decision engine?
No. Prime AI Telemetry API is a data layer, not a black-box fraud decision engine.
We provide device intelligence and risk signals via API. Your internal system decides what action to take.
You can use our signals to block, challenge, review, approve, rate-limit, enrich a risk score or simply monitor suspicious patterns.
Can this detect bots?
Prime AI Telemetry API can provide automation and browser environment signals that help your system identify traffic generated by scripts, headless browsers or other non-standard browsing environments.
Your system can then decide whether to block, challenge, rate limit or monitor the session.
Can this help embedded SaaS tools running inside iframes?
Yes. Embedded tools can struggle with identity continuity because browsers may restrict third-party cookies and cross-site storage.
Prime AI Telemetry API provides an additional device intelligence layer that can support recognition and risk analysis even where iframe-based storage is limited.
Can this help with multi-accounting?
Yes. A persistent device ID can help identify when multiple accounts appear to be connected to the same device.
This is useful for detecting trial abuse, promo abuse, fake accounts, repeated guest checkout behaviour and account-level policy abuse.
Can this detect incognito or private browsing?
Prime AI can provide indicators that suggest when a session may be using private browsing or restricted storage conditions.
Private browsing alone does not mean the user is suspicious. It becomes more useful when combined with other signals, such as VPN usage, repeated account creation, failed payments or automation indicators.
Can this work for Shopify stores?
Yes. Shopify stores often allow guest checkout or optional customer accounts, meaning the merchant may not have a reliable logged-in Assigned Customer ID before checkout.
Prime AI Telemetry API can help merchants recognise returning devices earlier in the shopping journey and enrich risk logic before the order is completed.
Does Shopify always use guest checkout?
No. Shopify supports different customer account settings. Customer accounts can be disabled, optional or required. When accounts are optional, customers can either sign in or check out as guests.
The key point is that many e-commerce journeys remain anonymous until late in the checkout flow.
Is this a replacement for cookies?
No. It should be treated as an additional identity and risk layer.
Cookies can still be useful, but they are not always reliable. Prime AI Telemetry API adds persistent device and session intelligence that can support your backend logic when cookies, IP addresses or login IDs are insufficient.
Can this detect VPNs and proxies?
Yes. Prime AI Telemetry API can provide VPN, proxy and network risk indicators.
These signals can help your backend understand whether a session is coming from normal residential traffic, mobile traffic, a data centre IP, a commercial VPN or another higher-risk network environment.
Can this help detect serial returners?
Yes. Prime AI Telemetry API can provide VPN, proxy and network risk indicators.
These signals can help your backend understand whether a session is coming from normal residential traffic, mobile traffic, a data centre IP, a commercial VPN or another higher-risk network environment.
Will this slow down my website or application?
Prime AI Telemetry API is designed to be lightweight and suitable for real-time use.
It runs in the background and returns device and session intelligence that your backend can use inside your own workflows within milliseconds.
Do I need to use your dashboard or rules?
No. Prime AI Telemetry API is built for teams that want to control their own logic.
You can consume the API payload directly inside your own backend, database, risk engine, authentication flow or analytics system.
You will get access to the dashboard to see each signal count.
Is this GDPR compliant?
Prime AI provides device and session intelligence for legitimate security, fraud prevention, risk management and abuse prevention use cases, in compliance with GDPR.
Customers are responsible for configuring their own privacy notices, consent flows, retention periods and lawful basis according to their jurisdiction and specific use case.