White Paper v0.2

Validata: A Decentralised Marketplace for Specialised AI/ML Datasets

Modern AI systems increasingly require long-tail, domain-specific datasets that neither public corpora nor conventional data-broker pipelines can supply efficiently. Validata transforms any mobile device into a data-collection node with cryptographic provenance and fair-market pricing.

Key Features

Decentralized Data Marketplace

Transform any mobile device into a data-collection node with cryptographic provenance

Privacy-First Architecture

End-to-end encryption, differential privacy, and TEEs ensure contributor privacy

$DATA Token Economics

Fixed-supply utility token on Base L2 with deflationary mechanisms

Hybrid Validation

On-chain staking, ML heuristics, and graph consensus ensure data integrity

DAO Governance

Token-weighted governance controls protocol parameters and treasury allocation

Global Network

~6.8 Bn camera phones unlocking latent supply for specialized AI/ML datasets

Market Analysis

Core Research
$10 Bn TAM
Market Size
Projected by 2029 for niche multimodal data
$9 Bn/yr
Current Spending
On computer vision, robotics, and AV data
6.8 Bn
Mobile Devices
Camera phones in global circulation
≥$8/hr
Worker Pay Improvement
vs $1-$3/hr on Web2 platforms

Abstract

Executive Summary

Modern AI systems increasingly require long-tail, domain-specific datasets that neither public corpora nor conventional data-broker pipelines can supply efficiently. Validata is a decentralised protocol that transforms any mobile device into a data-collection node, providing cryptographic provenance, automated quality assurance, and fair‐market pricing for contributed assets.

Bounties are settled in a fixed-supply utility token ($DATA) on the Base (L2) network. A hybrid validation layer—combining on-chain staking, machine-learning heuristics, and graph consensus—ensures integrity while preserving contributor privacy through end-to-end encryption, differential-privacy noise, and TEEs.

Governance, fee parameters, and treasury allocation are controlled by a token-weighted DAO.

System Overview

Technical Architecture
1

Bounty Creation

A requester escrows $DATA and specifies acceptance criteria (schema Σ, min-quality θ, expiry t*) via a Bounty contract.

2

Data Capture

Contributors capture assets through the Validata dApp (or SDK), which performs local pre-processing (blur, EXIF stripping) before uploading encrypted objects to IPFS/Filecoin.

3

Automated Validation

Duplicate detection via pHash/CLIP, semantic scoring through ResNet-50 and EfficientNet-V2 ensemble, and consensus from stochastically selected ValidatorPool.

4

Settlement

If σ≥θ, the contributor receives reward R = B_base · σ · v (v = Shapley percentile). A 10% stake is unlocked or slashed on failure.

5

Dataset Monetisation

Finalised datasets are wrapped in DataPass (ERC-1155); purchasers burn $DATA or pay fiat→swap to obtain access keys.

Actors and Usage Flow

User Roles

Contributor

Capture & submit assets; maintain stake

Key Interface: Snap Wizard → Upload → Wallet

Validator

Run node, stake/earn; monitor slashing

Key Interface: Validator CLI / Dashboard

Requester

Post bounty; purchase datasets

Key Interface: Bounty Creator → Fulfilment Dashboard

DAO Voter

Propose & vote on upgrades

Key Interface: Governance dApp (Snapshot-style)

Token ($DATA) Economics

Tokenomics

Token Distribution

DAO Treasury40%
Mining Rewards25%
Investors20%
Team10%
Grants5%

Key Parameters

Genesis Supply1 Bn DATA
Validator APR12-15%
Dataset Sales Fee1%
Bounty Burn25%
Max Inflation≤2% p.a.

Implementation Roadmap

Timeline
M0–M2
Sepolia contracts, web uploader MVP
M3
iOS SDK β; ML validator v1
M4
Duplicate-hunter deployment; first public bounty
M6
Shapley engine; DAO α
M9
Federated-learning pilot with university partner
M12
Main-net launch; 50k contributors; 10 enterprise buyers

Architecture

Technical Design

On-chain Components

• GovernorValidata (DAO governance)
• Bounty contracts (escrow management)
• ValidatorPool (staking & consensus)
• DataPass (ERC-1155 dataset tokens)
• ConsentNFT (SBT for data rights)

Off-chain Components

• API Gateway (GraphQL + AA relay)
• ML-Validator (Python/Triton)
• Duplicate-Hunter (Go)
• Privacy Enclave (Rust SGX)
• IPFS/Filecoin storage layer

Smart Contract Design

Solidity 0.8.25
ContractStandardPurpose
DATAERC-20 + EIP-26121 Bn fixed supply utility token
DataPassERC-1155Dataset access tokens
ConsentNFTERC-721 (SBT)Non-transferable consent proof
BountyCustomEscrow and payout management
ValidatorPoolCustomStaking and consensus mechanism

Data Quality & Privacy

Privacy-First

Duplicate Defense

• SHA-256 + pHash radius ≤ 8
• 100% stake slash on duplicates
• CLIP nearest-neighbor detection

Privacy Pipeline

• On-device Gaussian blur
• Differential privacy GPS jitter
• AES-256-GCM encryption
• Lit Protocol key management

Reputation System

• Valid uploads / Total uploads
• Tier-based stake requirements
• Higher tiers = lower stakes

Governance Model

DAO
Bootstrap (T₀)
3/5 multisig (core + advisors)
Epoch-1 (M6)
DAO upgrade; $DATA voting; 6% quorum
Epoch-2 (M12)
Elected committees; full decentralization
Safeguards: 48h timelock; Emergency veto (⅔ multisig) until Epoch-2 sunset

Reference dApp & SDK

Development Tools

Tech Stack

• Next.js / TypeScript
• shadcn/ui + Framer Motion
• RainbowKit + Wagmi v2
• Dark matte design (#0D0D10)
• WCAG 2.1 AA accessibility

SDK Features

• React-Native module
• captureAsset() & submit() APIs
• Gas sponsorship via AA relayer
• iOS / Android support
• Account abstraction integration

Infrastructure & DevOps

Cloud Native

Compute & Storage

• GKE with auto-scaling
• CloudSQL (PostgreSQL 14)
• Redis LSH for similarity
• IPFS pinning (3x redundancy)

Security & Monitoring

• Hashicorp Vault auto-unseal
• Slither + Mythril in CI
• OpenTelemetry → Prometheus
• SLO: p95 < 2s response time

Go-to-Market Strategy

Strategy

Demand Side

• University robotics labs
• AR/VR startups
• ≥10 paid pilot programs
• Enterprise partnerships

Supply Side

• Campus ambassador program
• Seasonal leaderboards
• Retroactive airdrops
• Community incentives

Risk Analysis

Risk Assessment
Contract exploit
Low
Critical
Halborn audit; Immunefi bug-bounty
Sybil spam
Medium
High
Stake + reputation + duplicate hunter
Privacy breach
Low
High
On-device redaction; Lit encryption
DAO capture
Medium
Medium
Quadratic voting; timelock
Regulatory change
Medium
Medium
Non-PII focus; modular contracts

Conclusion

Summary

Validata merges cryptographic incentives, automated machine-learning validation, and privacy-preserving engineering to create a permissionless, high-integrity marketplace for specialised AI/ML datasets. By leveraging Base L2, EIP-4337 smart accounts, and community governance, Validata converts pixels to tokens—unleashing a global, equitable data economy for the next generation of intelligence.

Ready to Get Started?

Join the decentralized data economy. Contribute data, validate submissions, or build on our protocol.