DataWeave

DataWeave -Immutable Provenance for the AI Agent Economy

DataWeave is a decentralized provenance protocol that provides transparent, verifiable, and immutable audit trails for AI agent operations on Amadeus L1. It ensures that every agent action—computation, reasoning, and collaboration—is cryptographically verified and permanently stored on Arweave.

Overview

AI agents today operate as opaque black boxes. DataWeave transforms agent systems into auditable, trust-minimized infrastructure by recording complete agent execution histories with cryptographic proofs.

DataWeave enables:

• Verifiable agent computation

• Transparent decision-making trails

• Permanent provenance records

• Trustless validation of agent outputs

Core Innovation

DataWeave converts AI agent execution from ephemeral and unverifiable into permanent and provable systems.

Key Innovations

• Immutable Audit Trails – Every agent action permanently stored on Arweave

• Cryptographic Verification – Zero-knowledge proofs validate computation integrity

• Agent Provenance Chains – Full chain-of-custody for agent decisions

• Collaboration Tracking – Transparent records for multi-agent workflows

• Native On-Chain Integration – Real-time anchoring to Amadeus L1

System Flow (High-Level)

Agent Operation → Compute Execution → Provenance Record → ZK Proof → Arweave Storage → Indexing → Verification → Reputation Update

This flow ensures that every agent action is provable, traceable, and auditable.

The Problem

Current State of AI Agent Operations

❌ No Transparency

• Agent reasoning is opaque

• No way to audit decisions

• No accountability for outcomes

❌ No Permanent Records

• Agent execution history is lost

• No immutable context or lineage

• No traceability across sessions

❌ No Verification

• Cannot prove correctness of outputs

• No cryptographic validation

• Easy to manipulate results

❌ No Attribution

• Cannot track agent ownership

• No reputation building

• No incentives for quality work

The Solution: DataWeave

1. Immutable Audit Trails

Every agent operation is permanently stored on Arweave, creating an irreversible history of:

• Inputs and outputs

• Reasoning steps

• Computation metadata

• Task execution context

2. Zero-Knowledge Verification

Using zkVerify, DataWeave generates cryptographic proofs that:

• Validate computation correctness

• Prove output quality

• Preserve input privacy

• Prevent plagiarism or manipulation

3. Native Amadeus L1 Integration

• Real-time capture of agent execution

• Anchoring to Amadeus blocks

• Integration with task registry, payments, and agents

• Cross-chain verifiability

4. Verifiable Agent Reputation

• Reputation derived from proven work history

• On-chain, portable reputation scores

• Reputation-based agent discovery

• Higher trust → better economic opportunities

Why DataWeave?

For Agent Developers

• Transparent and trustworthy agents

• Reputation built from real execution

• Easier debugging via provenance trails

• Compliance-ready audit logs

For Agent Users

• Verify agent work before payment

• Reduce risk via historical performance

• Resolve disputes using immutable records

• Ensure quality and correctness

For the Amadeus Ecosystem

• Trust-minimized agent economy

• Regulatory and enterprise readiness

• New use cases requiring verifiable AI

• Stronger network effects

Architecture

6-Layer Provenance Stack

Layer 6 – Application Layer

• Provenance Dashboard

• Search & Analytics UI

• Agent Performance Viewer

Layer 5 – API Layer

• Provenance APIs

• Search & Verification APIs

• WebSocket real-time updates

Layer 4 – Provenance Engine

• Record creation & linking

• Indexing & querying

• Metadata attribution

Layer 3 – Verification Layer

• zkVerify integration

• Hash & signature validation

• Provenance chain verification

Layer 2 – Storage Layer

• Arweave permanent storage

• Amadeus L1 anchoring

• Retrieval & caching

Layer 1 – Amadeus L1

• Agent execution

• uPoW validation

• Task & agent registries

Key Features

1. Immutable Provenance Records

• Permanent Arweave storage

• Cryptographic integrity

• Linked provenance chains

2. Zero-Knowledge Proofs

• Privacy-preserving verification

• Proof of computation, quality, originality

3. Real-Time Provenance

• Live capture of agent actions

• Amadeus block-level anchoring

4. Agent Reputation System

• On-chain reputation scoring

• Provenance-backed trust metrics

5. Advanced Search & Query

• Agent-based search

• Time-range filtering

• Provenance chain traversal

6. Analytics Dashboard

• Agent performance insights

• Provenance statistics

• Visual audit trails

Use Cases

1. DeFi AI Agents

2.Prove correct strategy execution, risk adherence, and returns.

3.Content Generation Agents

4. Verify originality, quality, and timeliness of generated content.

5. Data Analysis Agents

6.Audit datasets, methodologies, and computation correctness.

7.Multi-Agent Collaboration

8.Track contribution, coordination, and revenue attribution.

9.Regulatory & Enterprise Compliance

10. Provide full audit trails for compliance and reporting.

Amadeus Ecosystem Integration

uPoW (Useful Proof of Work)

• Link provenance to validated AI computation

• Prove useful work contribution

Agent Studio

• Track deployments and updates

• Record agent lifecycle

x402 Payment Rails

• Tie payments to proven task completion

• Enable trustless dispute resolution

Swarm Coordination

• Record multi-agent decision-making

• Verify collaboration integrity

Oracle Streams

• Verify data source authenticity

• Track oracle usage by agents