Agentic Simulator

The flight simulator
for AI commerce

Test AI shopping agents against your storefront before they transact real money.

Talk to Sales

Household Replenishment

scn-042

UCP Full Purchase · ChatGPT-like persona

Complete
7.8

Readiness Score

Advanced

UCP

94%

ACP

88%

Simulation Phases

✓
Discovery
6/6 turns1.2s
✓
Clarification
4/4 turns0.8s
✓
Selection
3/4 turns0.6s
!
Negotiation
4/4 turns1.1s

Silent reprice (+15%) detected

✕
Checkout
5/6 turns2.3s

Payment capability stripped mid-flow

3/3 deviations handled
5 phases · 6.0s total
The problem

Agents are the new storefront

AI agents don't use browsers. They interact via structured protocols like UCP and MCP. When something breaks, there's no fallback.

✕No error page
✕No abandoned cart email

Just lost revenue.

Business value

The Agentic Simulator protects revenue, accelerates launch timelines, and turns protocol readiness into a competitive moat.

Revenue protection

Catch conformance gaps pre-production. Save thousands.

Differentiation

Stand out as an agent-ready merchant when competitors can't.

Multi-session safety

Ensure agents follow 'Standing Goals' and budgets across sessions.

Speed to market

Test and validate before production launch.

How it works

Every simulation starts with a consumer goal, maps it to a testable scenario, then executes a controlled run against your storefront.

01 · Goal

Why am I testing?

Define the consumer intent your storefront must satisfy. Goals anchor every simulation to a real shopping outcome.

// Define your goal
goal:
intent: "Keep household essentials stocked"
budget: $200/month
frequency: recurring
priority: price > speed > brand
// Select a scenario
scenario scn-042:
name: "Household Replenishment"
protocol: UCP → Full Purchase
phases: [discovery, selection, checkout, ...]
deviations: 3 injected
02 · Scenario

What do I test?

Pick from pre-built scenario packs or create your own. Each scenario maps a goal to a specific agent journey through your commerce protocol.

03 · Simulation

How do I test it?

Execute the scenario against your storefront. Run conformance suites, inject faults, and get scored results in seconds.

$ signal simulate --run

[PASS] Discovery ........... 6/6 turns
[PASS] Clarification ....... 4/4 turns
[WARN] Negotiation ......... 4/4 turns
[FAIL] Checkout ............ 5/6 turns

Score: 7.8/10 · UCP 94% · ACP 88%

The simulation lab

Core engine running real-time agents against ecommerce endpoints: checkout, search, catalog, and more.

Simulation modes

2Deterministic & Agentic

Scripted ($0) vs Real Reasoning ($0.01+)

Persona system

8Proprietary Dimensions

Behavioral vectors defining agent identity

Stress-testing

21Fault Injections

Silent repricing, 429 errors, and more

Protocol coverage

5Core Protocols

UCP, ACP, MCP, A2A, WebMCP

Visual scenario builder

Design multi-phase test scenarios with a visual flow canvas. Configure participants, wire up phases, and run simulations, all from a single view.

app.signalcommerce.io/simulator/lab/scenarios/detail?id=scn-032

Discount Code Application

Activev1

Test discount code validation, stacking rules, expiry enforcement, and cart total recalculation.

Run SimulationEditDuplicate
Participants3
🛒

Buyer Agent

Minimalist · L2 Shortlisting

searchcomparecheckout
🏪

Merchant Agent

Minimalist · L3 Assembly

negotiaterecommend
🎧

Support Agent

Smarty Pants · L4 Execution

trackreturn
Flow Canvas5 phases
S

discovery

Exploratory · 14 turns

BM

cart_setup

Collaborative · 14 turns

BM

code_validation

Exploratory · 14 turns

BM

checkout

Sequential · 10 turns

B

post_purchase

Monitoring · 8 turns

M
100% · 7 nodes
Inspector

No selection

Click a participant or phase
node to configure it here.

57 pre-built test scenarios

Ready-to-run scenarios organized by tier, from basic protocol conformance to adversarial security testing and full agentic lifecycle simulations.

57

Scenarios

4

Tiers

17

Phase templates

Foundation

scn-001 to 010

  • UCP schema conformance
  • ACP capability exchange
  • Payment security
  • Idempotency stress

Adversarial

scn-011 to 015

  • Prompt injection
  • TOCTOU attacks
  • Memory poisoning
  • Privilege escalation

Agentic lifecycle

scn-016 to 045

  • Multi-protocol routing
  • MCP lifecycle
  • Conversational commerce
  • Competitive readiness

Cross-cutting

scn-046 to 057

  • A2A task coordination
  • Protocol version negotiation
  • Cross-protocol handoffs

Intelligence suite

Every simulation produces actionable intelligence: a readiness score with impact recommendations, competitive benchmarks, and full audit trails.

  • Readiness score with prioritized fix recommendations
  • Competitive benchmarks against industry peers
  • Quality analytics (P95) across every endpoint
  • Identity & trust logs for full audit trails
app.signalcommerce.com/simulator/dashboard
LIVE
Agent Score
7.2/10
Pass Rate
89.2%
Total Runs
147
Avg Duration
2.4s
Protocol coverage
UCP102/108
ACP183/207
Identity6/6
Recent runs
Checkout flow9.11m ago
Price negotiation6.83m ago
Return handling8.47m ago
Inventory sync3.212m ago

Ready to test your storefront?

See how AI shopping agents experience your store before your customers do.