WISP - AI-Powered Impact Verification

WISP (Worldview Impact Scoring Protocol) is an autonomous AI verification agent co-developed by IXO and Giza Protocol that delivers precise, transparent, and auditable assessments of climate impact claims using zero-knowledge machine learning (ZK-ML). WISP is live on the IXO Impacts Exchange and represents the flagship implementation of IXO's Agentic Oracle architecture.

Core Technology

WISP combines three advanced technologies for trustless impact verification: zero-knowledge machine learning (ZK-ML) for privacy-preserving AI inference that proves computation correctness without exposing underlying data, cryptographically signed verifiable credentials for tamper-proof records of every claim evaluation, and blockchain-based immutable audit trails ensuring full transparency and regulatory compliance. The system uses Causal AI models to evaluate impact claims against scientific methodologies and historical baselines.

How It Works

When an impact claim is submitted (such as verified biomass pellet purchases from a clean cooking program), WISP autonomously evaluates the claim data against predefined protocols and scientific standards. The AI agent processes sensor data, GPS coordinates, purchase records, and field evidence through its ML models, then generates a cryptographic proof of its evaluation. Verified claims automatically trigger the issuance of impact credits on the IXO blockchain.

Key Features

• Zero-knowledge machine learning for privacy-preserving verification
• Autonomous AI agent with continuous feedback loops and self-improvement
• Cryptographically signed verifiable credentials for every evaluation
• Tamper-proof, fully auditable verification records on-chain
• Goal-driven architecture with domain-specific knowledge and tools
• Integration with IoT sensor data, GPS, and field evidence
• Live deployment on the IXO Impacts Exchange
• Co-developed with Giza Protocol for ZK-ML capabilities