nerq / commerce
COMMERCE TRUST LAYER

Trust Infrastructure for Agentic Commerce

Verify AI shopping agents before they transact. The trust layer for the $385B agentic commerce market.

204K
agents indexed
<50ms
verification latency
1,000
req/hr free tier

The Problem

AI agents are buying products, negotiating contracts, and settling payments autonomously. Morgan Stanley projects $190–385B in agent-driven e-commerce by 2030. But there is no verification layer. No way for a merchant to confirm an agent is authorized. No way for a platform to verify an agent’s identity. No way to distinguish a legitimate purchasing agent from a malicious one. Agentic commerce needs a trust layer.

How It Works

01
Agent Request
Agent initiates a transaction and sends identifiers to Nerq
→
02
Nerq Verify
Trust Score computed from provenance, behavior, code audit
→
03
Approve / Reject
Sub-50ms decision returned with confidence + risk level

Code Example

from nerq_commerce import verify_transaction

result = verify_transaction(
    agent_id="my-agent",
    counterparty="vendor",
    action="purchase",
    risk_tolerance="medium"
)

if result.approved:
    execute_transaction()

Use Cases

AI Shopping Assistants

Verify that a shopping agent is authorized to make purchases on behalf of its principal before processing payment.

Autonomous Procurement

Enterprise procurement agents comparing vendors and placing orders need trust verification to prevent supply-chain attacks.

Agent-to-Agent Negotiation

When two agents negotiate terms, both sides need to verify the other’s identity and authorization before agreeing to binding terms.

DeFi Agent Operations

Autonomous agents executing swaps, lending, and yield farming require trust checks to prevent unauthorized token transfers.

Get Started

pip install nerq-commerce
Read the docs → Trust Protocol spec → Integration guides →

Frequently Asked Questions

What is agentic commerce?
Agentic commerce is the emerging category of autonomous AI agents that buy, sell, negotiate, and transact on behalf of humans or organizations. These agents operate independently, making purchasing decisions, comparing vendors, and executing transactions without human intervention for each step.
How do you verify AI shopping agents?
Nerq verifies AI agents by computing a Trust Score based on provenance analysis, behavioral history, code audit signals, and community reputation. The Commerce Trust endpoint evaluates both the agent initiating a transaction and the counterparty, returning an approval decision in under 50ms.
Is agentic commerce safe?
Agentic commerce carries risks including agent impersonation, unauthorized purchases, data exposure, and prompt injection attacks. Nerq mitigates these risks by providing real-time trust verification before any transaction executes, ensuring both parties in an agent-to-agent exchange meet minimum trust thresholds.