Protect bookings, loyalty, and pricing APIs in one layer.
Device intelligence built for the fraud realities of OTAs, airlines, hotels, and booking platforms. TRACIO stops stolen-card bookings, loyalty farming, and pricing scrapers — without adding a single field to your booking flow.
The inventory's gone the moment the date passes.
Travel fraud is more expensive per incident than almost any other vertical. A stolen-card booking generates chargebacks worth 3–5× the transaction value. Unlike physical goods, a canceled flight or empty hotel room cannot be recovered — the inventory is gone once the date passes.
Loyalty programs compound the problem. Fraudsters create dozens of accounts to stack bonuses and referral rewards, liquidating points before detection. Industry estimates put annual loyalty fraud losses above $1B — and traditional identity checks do nothing against multi-accounting.
Industry-specific device intelligence
Booking Device Binding
Bind verified devices to booking accounts. Unrecognized hardware at checkout or loyalty redemption triggers step-up verification before money or points move.
Sub-50ms Booking Risk Score
Device trust, IP plausibility, velocity signals, and fraud graph linkage evaluated in one API call — fast enough to run alongside your PSP on every booking.
Fraud Ring Graph
Surface hidden connections between accounts, cards, and loyalty numbers. Cross-device graph analysis exposes coordinated operations that look clean individually.
API Scraper Blocking
Catch Puppeteer, Playwright, and anti-detect tools hitting pricing and inventory endpoints. Cut bot-driven infrastructure costs without blocking legitimate integrations.
Loyalty Eligibility Engine
Tie sign-up bonuses, status matches, and referral rewards to physical hardware. One device, one eligibility — regardless of email aliases or VPN rotation.
Scalper & Velocity Throttling
Apply device-based rate limits to high-demand releases. Limited flights, hotel drops, and event tickets survive the launch window for real travelers.
Top fraud vectors in this industry
Stolen-Card Booking Prevention
Link every booking to a persistent device trace. Suspicious device history, fraud ring linkage, and multi-account patterns surface before the reservation confirms.
Learn moreLoyalty & Points Farming
Stop serial multi-accounting on rewards programs. Device-tied eligibility catches points farmers, status-match abusers, and referral ring operators.
Learn morePricing & Availability Scraping
Block OTAs, aggregators, and price monitors from hammering your inventory APIs. TLS fingerprinting catches scrapers operating from real browsers.
Learn moreAccount Takeover on Booking Accounts
Protect high-value travel accounts containing loyalty balances, saved cards, and trip history. Device recognition runs ahead of MFA for risk-based auth.
Learn moreBefore vs. after TRACIO
- Stolen-card bookings generate 3–5× chargeback losses weeks after the fact
- Loyalty points farmed through disposable emails and liquidated to gift cards
- Pricing APIs scraped millions of times daily, inflating infrastructure bills
- Inventory scalped by bots in milliseconds during high-demand releases
- Fake reviews from bot accounts distort rankings and booking decisions
- Sub-50ms risk verdict before the payment processor ever sees the booking
- Loyalty eligibility enforced per device — repeat signups blocked at the form
- Scrapers blocked at the API edge, saving 25–40% of bot-driven infra cost
- Device-based velocity throttling keeps inventory available for real travelers
- Reviewer authenticity verified against actual booking and stay device records
Get started in minutes
A few lines of code, one API response with everything you need.
import Tracio from '@tracio/client'const tracio = await Tracio.load({ apiKey: "tk_live_..." })// Score every booking attemptconst { deviceId, riskScore } = await tracio.identify()await fetch("/api/bookings/confirm", { method: "POST", body: JSON.stringify({ deviceId, riskScore, itineraryId: cart.itineraryId, totalAmount: cart.total, paymentToken: stripe.token, }),})Frequently asked questions
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