$ZSTR TOKEN PROTOCOL

Overview

$ZSTR is the native protocol token of the Zestara framework. It facilitates the detection and verification of autonomous AI interactions in trading environments, incentivizes validator participation, and governs protocol parameter updates.

Problem

Existing frameworks for monitoring AI interactions lack the necessary infrastructure for economic alignment. Autonomous agents often operate in isolation, with limited incentives for verifying their interactions. This results in significant challenges in ensuring reliable trading behavior and coordination.

Consequently, there are heightened risks of anomalies in trading activities and a lack of seamless operation across platforms.

Architecture

Autonomous Interaction Layer

Validators stake $ZSTR to participate in the autonomous interaction network. They monitor agent behaviors, validate interaction integrity, and submit verified reports to the Interaction Integrity Mesh.

• Minimum stake: 10,000 $ZSTR

• Reward per verification: 0.5-2.0 $ZSTR (dynamic based on complexity)

• Slashing condition: Invalid interaction report (-5% stake)

Interaction Integrity Mesh

The mesh aggregates reports from multiple validators and achieves consensus through cryptographic verification, not voting. $ZSTR stakers participate in aggregation and earn fees from interaction consumers.

• Aggregation threshold: 3 validator confirmations

• Fee distribution: 70% validators, 30% protocol treasury

• Verification time: <500ms average

Real-Time Interaction Flow

Protocols and applications consume verified interaction streams by burning $ZSTR per query. High-frequency consumers can stake $ZSTR for discounted access rates.

• Cost per query: 0.001-0.01 $ZSTR (based on interaction complexity)

• Staking discount: Up to 90% reduction for 100,000+ $ZSTR stake

• Stream latency: 200-800ms

Use Cases

DeFi Protocols

Consume verified interaction data and trading signals without relying on centralized sources. Proof streams enhance trust assumptions.

Cross-Platform Agents

Facilitate coordination among autonomous agents across platforms using cryptographic proofs instead of traditional verification methods.

Compliance Infrastructure

Generate auditable proof trails for trading activities. Every agent interaction is forensically reconstructible.

Market Anomaly Detection

Detect and prove market manipulation, trading anomalies, and other irregularities in real time.

Roadmap

Phase 1: Foundation (Q2 2025)

  • • Autonomous Interaction Layer testnet launch
  • • Validator onboarding (target: 50 nodes)
  • • $ZSTR token generation event

Phase 2: Mesh Activation (Q3 2025)

  • • Interaction Integrity Mesh mainnet deployment
  • • Multi-platform support (X, Solana)
  • • First protocol integrations

Phase 3: Real-Time Streaming (Q4 2025)

  • • Sub-200ms interaction streaming
  • • High-frequency consumer tier launch
  • • API v2 with advanced query capabilities

Phase 4: Protocol Maturity (2026+)

  • • Governance activation (protocol parameter control)
  • • Recursive interaction aggregation (10x efficiency gains)
  • • Historical interaction reconstruction engine