TravelTrust

An AI & Oracle-Driven Verifiable Travel Review Data Asset Protocol on Mantle

Problem

1. Tourism reviews lack trust guarantees

• Reviews on traditional platforms can be deleted, manipulated, or incentivized

• Users and third parties cannot verify authenticity or completeness

2. AI-generated summaries operate as black boxes

• AI summaries rely on centralized, opaque datasets

• AI inputs cannot be audited for completeness or bias

3. Content-based data cannot be assetized

• Text reviews and AI outputs are hard to tokenize or manage on-chain

• No automated pipeline for content data asset management

Solution

Core Idea

Build an irreversible Review → LLM → Oracle → On-chain Asset pipeline on Mantle

On-chain / Off-chain Data Asset Pipeline

(1) Reviews as On-chain Primitives

Users submit attraction reviews, which are stored (or hashed) directly on Mantle as immutable data primitives for AI processing and assetization.

(2) AI Agent Quality Control

LLM-based AI agents perform denoising, anti-fraud detection, and quality scoring, producing structured verification outputs.

(3) Oracle-based Adjudication

Oracles submit AI verification results on-chain, triggering smart contracts to validate reviews and distribute token incentives.

(4) AI Summary Asset Generation

Oracles monitor verified review sets and periodically trigger AI agents to generate time-based summaries, packaged with review hash arrays as structured on-chain data assets.

(5) Verifiable Frontend Consumption

The frontend consumes only on-chain data, allowing anyone to independently verify review sets and AI inputs.

Business Model

Users (Data Producers)

Verified reviews earn tokens, which can be used for user level upgrades, advanced analytics, and attraction coupon redemptions.

Consumer Side

Users can view raw on-chain reviews, compare historical AI summaries, and receive NFTs after coupon redemption.

B-side (Data Buyers)

• Verifiable Data API Procurement Attraction operators and OTAs purchase token-settled APIs for verifiable reviews and AI-generated summaries.

• Decoupling of Data and Commercial Display Promotional exposure (carousel, coupons) is strictly decoupled from review data and AI logic, ensuring data integrity.

Roadmap

Phase 1｜Hackathon MVP

Core review, oracle contracts, AI verification, and verifiable UI on Mantle.

Phase 2｜Automation Upgrade

Automated AI agents, multi-phase summary assets, and standardized data schemas.

Phase 3｜Data Asset Expansion

Commercial APIs, content-based data assets, and cross-protocol integrations.

One-line Pitch

TrustTravel uses AI agents and oracles on Mantle to transform travel reviews into verifiable, traceable, and tradable on-chain data assets.