All productsProduct studioShovon Saha
All products
Interactive prototype · Sample offers · No live checkout
Investor brief · seed

Shopping is moving behind a chat box. Nobody is refereeing the deal.

Buyers are starting to shop through an assistant. Sellers are being asked to expose their catalog, their prices and their payment rails to software they did not write. agentmesh sits in the middle: a marketplace prototype where buyer and seller agents negotiate inside deterministic bounds. The protocol layer includes hash-linked audit primitives; durable per-turn persistence is a production milestone.

0%

growth in AI-referred traffic to US retailers, Q1 2026 vs Q1 20251

0%

better conversion from AI-referred visits than other traffic1

$0B

US agentic commerce by 2030, base case (bull case $385B)2

$0T

upper bound on global agent-mediated commerce by 20303

01Why now

Four protocols landed in eighteen months

The pieces an agent needs to buy something arrived in a rush. Tool access, signed authorization, agent-scoped card credentials, checkout inside a chat surface. What did not arrive is the part where two agents with opposing interests settle a price and leave evidence behind.

  1. Nov 2024MCP opens up tool callingAnthropicAgents get a common way to reach tools and data. This is the plug.9
  2. Apr 2025Agent PayMastercardAgent-specific tokenized credentials with consumer-set limits.8
  3. Sep 2025ACP ships in ChatGPTOpenAI + StripeInstant Checkout puts real carts inside a chat window.5
  4. Sep 2025AP2 mandatesGoogle + 60 partnersCryptographically signed intent and cart mandates. Proof of who authorized what.6
  5. 2025-2026Card rails adaptVisaIntelligent Commerce and Trusted Agent Protocol extend cards to agent-initiated spend.7
  6. 2026Volume arrivesThe marketAI platforms account for a low single-digit share of US retail ecommerce, growing fast off a small base.4,1
02Market

Three circles, drawn honestly

Total addressable

Global ecommerce that an agent could plausibly transact by 2030. Wide because the forecasts are wide: Morgan Stanley models about 10% of US ecommerce in its base case, McKinsey models trillions globally.

Global agent-mediated GMV, 2030
$1T-$5T
US share, base case
$190B
US share, bull case
$385B

Forecasts disagree by an order of magnitude. We plan against the low end.2,3,4,10

03Proposed business model

Revenue after real settlement is integrated

Illustrative take rate
1.5-2.5%

A future option after live settlement, merchant verification, refunds, and disputes are implemented.

Illustrative usage
per 1k calls

The app records run estimates but the standalone build does not invoice them. Local-model inference stays on the buyer's Mac.

Illustrative seller tier
$0 / $99 / custom

A pricing hypothesis, not an active subscription or promise of production features.

Inference is the main variable cost and it falls every quarter. A scripted negotiation costs fractions of a cent because most turns never reach a model. Buyers who point us at Ollama or LM Studio move that cost onto their own hardware entirely.

04Moat

The record is the product

Anyone can wire an LLM to a product feed. The hard part is what a merchant asks in the second meeting: what did your agent promise on my behalf, who approved the spend, and can you prove the log was not edited afterwards. This prototype enforces spending caps outside the prompt and includes hash-chain construction and verification code. The interactive demo transcript remains in memory; durable bilateral audit storage is still required before production.

Hash-linked audit primitive

Construction and tamper-verification are tested; durable bilateral storage is not yet connected to every demo turn.

Runtime guardrails

Caps, scopes and walk-away floors are checked in code before a tool runs, not asked for in a system prompt.

Adapter foundation

Catalog records, bounded HTTPS tools, and read-only MCP calls provide the integration starting point.

Protocol neutral

AP2-style signed mandates, MCP tools, ACP-style checkout. We speak to whichever wins.

05Risk

What could sink this

Platforms absorb the middle

OpenAI and Google both want checkout inside their own surface. Our answer is the long tail and the audit trail, not competing for the top 500 merchants.

Trust stays low

Only a small share of shoppers say they would let an agent buy unsupervised. We treat the consent pause as permanent product, not a phase.

Regulation lands hard

Agent-initiated payments will attract rules on disclosure and liability. A signed, replayable record is the cheapest possible compliance posture.

Model costs or quality wobble

Scripted negotiation paths and local model support both cut our exposure to any one provider.

06Sources

Where the numbers come from

  1. 01Adobe Analytics, AI traffic reportApr 2026
  2. 02Morgan Stanley AlphaWise, agentic commerce outlookNov 2025
  3. 03McKinsey, agentic commerce2025
  4. 04EMARKETER, US retail forecastDec 2025
  5. 05Stripe + OpenAI, Agentic Commerce ProtocolSep 2025
  6. 06Google, Agent Payments Protocol (AP2)Sep 2025
  7. 07Visa Intelligent Commerce2025-2026
  8. 08Mastercard Agent PayApr 2025
  9. 09Anthropic, Model Context ProtocolNov 2024
  10. 10Gartner, agentic AI predictions2025

Forecast figures are third-party projections, not our results. agentmesh is a working prototype with test accounts, mock payments and a scripted negotiation engine. Nothing on this page is an offer to sell securities.