5. DePIN Model

Kairos aligns naturally with the decentralized physical infrastructure network (DePIN) ethos, breaking the bottlenecks of centralized AI services through edge‑device onboarding, serverless task scheduling, on‑chain agent deployment, and native incentives. Every device, user, and agent becomes a resource contributor, compute collaborator, and value participant.

5.1 Edge Devices as DePIN Nodes

Any device with idle compute/storage—home GPUs, ARM boards, phones, micro‑servers—can register as an edge node via lightweight protocols. After identity mapping and performance evaluation, nodes enter the scheduling network, providing inference, caching, and context processing.

5.2 Workflow‑as‑a‑Service Collaboration

No‑code workflows are decomposed into atomic tasks and distributed to optimal edge nodes, forming a self‑driven, self‑healing task‑execution network superior to traditional cloud AI services.

5.3 Agent‑as‑Service + Token Mechanics

Each deployed agent can register on‑chain as an independent service unit with its own token, defining pricing, cost allocation, incentive strategy, and access permissions—turning services into assets.

5.4 On‑Chain Modules Encapsulated at the Edge

Edge nodes can host CEX/DEX APIs, DeFi modules, and analytics, enabling full agent execution without centralized servers.

5.5 Smart Terminals as Edge‑Intelligent Nodes

Wearables (rings, watches, AR glasses) act as data producers, consumers, executors, collaborators, and incentive participants—bringing on‑chain intelligence into everyday life.

5.6 Incentive Mechanism

$Kairos points reward three core behaviors: resource contribution, data provision, and service consumption.

Resource Contributor Formula

NodeScore = (OnlineHours × α) + (TaskCompleted × β) + (ComputeFactor × γ) × UptimeRatio

Data Provider Formula

DataScore = (UploadVolume × δ) + (DataUniqueness × ε) + (AgentUsageCount × ζ)

Service Consumer Formula

UserScore = (CallCount × η) + (AgentWeight × θ) + (InteractionScore × ι)