unTamper
unTamper provides cryptographically verifiable, tamper-evident audit logs specifically designed for high-risk events, including AI agent activity, ensuring any alteration is mathematically detectable.
AEVS provides tamper-evident, on-chain cryptographic receipts for AI agent actions, ensuring verifiable execution and auditability.
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unTamper
unTamper provides cryptographically verifiable, tamper-evident audit logs specifically designed for high-risk events, including AI agent activity, ensuring any alteration is mathematically detectable.
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NexArt offers 'Certified Execution Records' that are sealed, tamper-evident, and independently verifiable for every decision point in autonomous AI agent workflows, capturing inputs, tool calls, and outputs.
Quox (Verifiable AI Operations)
Quox provides a 'Verifiable Operations Ledger & Trace (VOLT)' which is an append-only, hash-linked, tamper-evident event ledger for AI agent operations, along with 'Write-once Append-only Receipt Digests (WARD)'.
Smoo AI
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overview
AEVS is an AI agent verification tool developed by Fetch.ai that enables AI agent builders and infrastructure teams to ensure verifiable execution and auditability of agent actions. It provides tamper-evident, on-chain cryptographic receipts for every AI agent tool execution. AEVS generates these receipts for each tool call made by an AI agent, establishing a publicly verifiable audit trail for all agent actions. This system addresses the challenge of verifying agent execution, particularly in scenarios where chat histories might be altered or Large Language Models (LLMs) could generate 'hallucinated' actions. Its core function is to provide a robust, immutable record of agent activity.
quick facts
| Attribute | Value |
|---|---|
| Developer | Fetch.ai |
| Business Model | Freemium |
| Pricing | Freemium (Free tier available) |
| Platforms | API |
| API Available | Yes |
| Integrations | LangChain/LangGraph, MCP tools |
| Founded | May 12, 2026 (AEVS launch) |
features
AEVS incorporates several technical features designed to ensure the integrity and verifiability of AI agent operations. Its architecture is built around cryptographic principles and ease of integration, making it accessible for developers working with autonomous systems. The system's core capabilities focus on creating an immutable record of agent actions.
use cases
AEVS is designed for stakeholders involved in the development, deployment, and oversight of autonomous AI agents, particularly those operating in environments requiring high levels of trust, auditability, and compliance. Its verifiable execution records are critical for ensuring accountability in automated processes.
pricing
AEVS operates on a freemium business model. It is currently listed as 'Free' on Product Hunt, indicating a no-cost entry point for its SDK. Specific detailed pricing plans or costs for using the verification service beyond this initial offering are not explicitly mentioned in available public information. The freemium model suggests that a basic level of service or functionality is available without charge, with potential for paid tiers or usage-based fees for advanced features or higher volumes of transactions in the future.
competitors
AEVS is positioned within the emerging market of AI agent verification and auditability, differentiating itself by providing on-chain, tamper-evident cryptographic receipts for individual tool calls. While broader AI agent evaluation platforms exist, AEVS focuses specifically on immutable proof of execution, addressing a critical need for non-repudiation in autonomous systems. Fetch.ai holds approximately 35% of the decentralized agentic workflow market as of early 2026.
unTamper provides cryptographically verifiable, tamper-evident audit logs specifically designed for high-risk events, including AI agent activity, ensuring any alteration is mathematically detectable.
Similar to AEVS, unTamper focuses on creating tamper-evident records for AI agent actions using cryptographic hash chains. It offers a free tier, directly competing with AEVS's freemium model.
NexArt offers 'Certified Execution Records' that are sealed, tamper-evident, and independently verifiable for every decision point in autonomous AI agent workflows, capturing inputs, tool calls, and outputs.
NexArt directly competes with AEVS by providing verifiable execution evidence for AI agents, focusing on proving what actually ran with SHA-256 sealed records, addressing the integrity of agent tool executions.
Quox provides a 'Verifiable Operations Ledger & Trace (VOLT)' which is an append-only, hash-linked, tamper-evident event ledger for AI agent operations, along with 'Write-once Append-only Receipt Digests (WARD)'.
Quox's VOLT and WARD protocols offer a direct alternative to AEVS by creating tamper-evident and verifiable records for AI agent interactions, ensuring traceability and integrity of actions.
Smoo AI offers compliance-ready, tamper-evident audit logging with auto-attached context for every AI agent action, utilizing a per-organization, per-day SHA-256 hash chain.
Smoo AI directly competes with AEVS by providing tamper-evident audit logs for AI agent activity through a hash chain, focusing on compliance and security forensics for agent actions.
AEVS is an AI agent verification tool developed by Fetch.ai that enables AI agent builders and infrastructure teams to ensure verifiable execution and auditability of agent actions. It provides tamper-evident, on-chain cryptographic receipts for every AI agent tool execution.
AEVS operates on a freemium model. It is currently listed as 'Free' on Product Hunt, indicating a no-cost entry point for its SDK. Specific detailed pricing plans or costs for using the verification service beyond this initial offering are not explicitly mentioned in available public information.
Key features of AEVS include the generation of tamper-evident, ECDSA-signed, KMS-backed cryptographic receipts for every AI agent tool call. It creates a publicly verifiable audit trail and integrates with existing tools using just two lines of code, requiring no changes to the tools themselves.
AEVS is intended for agent builders, infrastructure teams, and developers working with agent frameworks like LangChain/LangGraph or MCP tools. It is particularly valuable for organizations handling compliance-sensitive tasks, financial operations (e.g., refunds, payments), inter-agent coordination, and customer support workflows where verifiable execution is critical.
AEVS differentiates itself by providing on-chain, tamper-evident cryptographic receipts for individual AI agent tool calls, ensuring immutable and publicly verifiable proof of execution. Competitors like unTamper, NexArt, Quox, and Smoo AI also offer tamper-evident audit logs or certified execution records for AI agents, often utilizing cryptographic hash chains, with some also offering freemium models. AEVS's focus on ECDSA-signed, KMS-backed, on-chain receipts provides a distinct approach to cryptographic verification.
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