Tokenized Agentic Platform -TAP ‘s decentralized Ai ,’Dexi’ gives each AI/agentic instance a verifiable identity and data ,with a “agent token” that represents its capabilities, trust, and value on-chain on your Wota Network.
Unlocking Potential with Tokenized Artificial Intelligence
TAP lets you tokenize AI and agentic outputs (data) without complex integrations.
TAP is the “trust-rail” for the agent economy, even OFFLINE.
Tokenized Agentics =Trust in Agents
TAP abstracts Grok/GPT etc as an agent, tokenizes its outputs as verifiable proofs in a Real World Asset, and tracks its reputation — no API integration or vendor cooperation required.
Why Choose Tokenized Agentics?
Problem– AI agent has no trust layer or way to prove ownership or get paid. Agents have no verifiable identity , spending limits, settlements, or provenance. There is a lack of enterprise grade trust and accountability for agentic technology. Additional solved problems listed below
This is the trust contract that unlocks enterprise production. Tokenized Agentics turns devices and AI agents into accountable technology—verifiable identity (CTX), tokenized outputs (DDT), and offline capable .
KYA (Know Your Agent) and KYT ( Know your transaction): verify each agent (like KYC for machines) before value moves, including offline agents.
(what code/policy?) → CTX for versioned manifests; DDT for immutable action logs..
Pre-action guardrails
(were rules enforced?) → Policy/License RWAs as machine-readable, enforceable constraints.
Free AI for everyone anywhere
( Who can access it ?) Dexi runs on your device, not in a data center — no massive server bills means you get your own AI for free and earn rewards by using it and control your data..
Turn Your AI insights/data into verifiable On Chain Real World Assets ( RWA) out of the box turning AI and autonomous agents into accountable digital actors that can collaborate, cross-validate, and exchange proof-backed outputs.
What Ai issues does Tokenized Agentics actually solve?
First, group chats are token-gated : every participant receives a token in their wallet that grants access to the chat and marks them as part of the secured collaboration.
Category 1: Multi-Agent Collaboration
Problem
TAP Solution
Agents hallucinate and disagree
TAP requires peer validation proofs
No history or chain of decision logic
Proof ledger creates immutable audit trails
Teams can’t merge agent outputs
Shared memory = cross-agent knowledge graph
Category 2: AI Governance & Safety
Problem
TAP Solution
No way to prove agent followed policy
TAP records policy-compliance proofs
Model upgrades break workflows
Each proof stores model version + hash
Hard to isolate misbehaving agents
TAP can quarantine or revoke trust
Category 3: Enterprise Workflow Automation
Problem
TAP Solution
Approvals disappear into emails
Each approval becomes a proof token
No traceability in decisions
Ledger acts as internal source of truth
Risk models can’t be audited
Inputs + rationale are hashed & pinned
Category 4: Research & Model Evaluation
Problem
TAP Solution
No structured eval logs
Proof tokens store scores + errors
CoT can’t be compared
TAP stores reasoning fingerprints
Benchmarks not reproducible
Inputs + weights hashed per proof
Category 5: Distributed AI Orchestration
Problem
TAP Solution
Multi-agent systems rely on trust
TAP replaces trust with cryptographic attestations
No accountability between agents
Each agent signs its work
Hard to route decisions
Proofs trigger cross-agent workflows
Proof certificate tied to a physical asset and inspection trail. TAP enables machine learning models to train collaboratively. “TAP is a free dapp inside Wota Network Studio that rewards you for using it—every workflow you run helps power and secure the WOTA network.”
Demo
Tokenized Agentics
Tokenized Agentics Demo
A friendly demo of “tokenized tasks” + provider routing. No real wallet required.
1) Pick a Provider
This mirrors the “model providers” list you’re configuring. In production, your router would call the selected provider.
Demo-only. Shows where you’d wire credentials / routes.
What this means
Provider = where the model runs (OpenAI, Groq, Ollama, etc.)
Model = the specific engine (e.g., gpt-4o, llama3)
In a real build, the router signs a receipt and stores it (on-chain or off-chain).
2) Make a One‑Time Token (Demo)
Generates a one‑time token stored for a short TTL.
Stored as a WordPress transient (server-side).
Not generated yet.
3) Tokenize a Task (Receipt JSON)
Type a task, then generate a signed-style receipt checksum (SHA‑256). You can store receipts on-chain later.
If your task produced a video, include its checksum in the receipt.
Ready.
{}
Dexi
Hi! I’m Dexi. Pick a provider, generate a one‑time token, then create a receipt. This is a demo—no wallet needed.
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Each AI or agent becomes a verifiable Agent RWA, tracking performance, reputation, and trust. Owners can:
Verify AI outputs locally in TAP Local App
Mint Proof Tokens tied to the AI agent
Track AI performance and trust metrics over time
YourDecentralized Intelligence ‘Dexi’ gives TAP it’s agentic capabilities :
Local AI Relay & Execution Layer
Routes AI tasks between LLMs (e.g., Grok, GPT-5, local models)
Can operate as a multi-agent router to pick best model for job
Enforces deterministic execution paths for verifiable runs
Wrap each AI transaction in a token, so usage, ownership, and payments are all built in from the start.
Proof & Attestation Layer
Signs model outputs
Generates Proof Tokens for agent actions
Maintains traceable execution logs tied to user, model, and context
Interfaces with Your OTR chain for verifiable compute stamps
