01 / 14 — Cover
BoxNCase · 30.05-hour experiment 2026-5

The commerce
protocol for the
agent economy.

A profitable B2B marketplace today. The wholesale OS for AI buyers tomorrow. Specialty food is the wedge — every vertical is the market.

Site live 22.5K lifetime orders · 50%+ margin SpaceX customer MCP · x402 in production
Surya Singh · Founder · Commack, NY
02 / 14 — The world as is
BoxNCase

Wholesale was built for
fax machines, not agents.

$5T
Global B2B wholesale commerce
$800B U.S. food alone — same legacy shape across CPG, restaurant supply, beauty, hardware, building materials
0
Wholesale OS exposing inventory natively to AI agents
No canonical identity. No MCP. No machine-readable catalog at category level.
18 mo
For a new brand to reach distribution today
Slotting fees, broker commissions, retailer chargebacks. Capital-out, distribution-stops.

Stripe rebuilt payments for the internet. Shopify rebuilt storefronts. Nobody has rebuilt wholesale for the world where AI agents — not humans — place 30% of B2B orders by 2028. The platform that ships the rails first owns the take rate on every agentic transaction.

03 / 14 — The wedge
BoxNCase

What we are today

A profitable B2B specialty-food
marketplace that already works.

22,546
Lifetime orders
4,999
Native B2B companies
16,821
Unique customers
~$200
B2B AOV (90-day stable)
96,250
Live products
66+
Specialty vendors on page 1
All 50
States with active fulfillment
50%+
Gross margin

Lifetime aggregates from internal database. Detailed unit economics shared under NDA.

04 / 14 — Proof
BoxNCase

The customers prove the wedge

A French butter walked into
SpaceX. Then PEOPLE Magazine.

Marquee customers: SpaceX campus cafeterias and Crumbl Cookie. Recurring B2B accounts.

A single specialty origin SKU — Isigny Sainte Mère French Butter Basket AOP — became the viral moment that put BoxNCase in PEOPLE Magazine and drew inbound from Volition Capital. The thesis isn't "another marketplace." It's that specialty origin + identity + distribution is a wedge that compounds.

The same architectural pattern that built the $300M/yr WebstaurantStore over twenty years — applied to a 96K-product specialty catalog with the agent-commerce layer the incumbent doesn't have.

Customer signal

CohortIndicator
Native B2B companies4,999
Total emails in DB204,747
Crumbl chain operators in DB1,010
Lifetime unique customers16.8K
Lifetime orders22.5K
States with active fulfillmentAll 50
Marquee enterprise accountSpaceX
National chain operator interestValidated

Detailed cohort segmentation, single-SKU contribution, and conversion data shared under NDA.

05 / 14 — Product
BoxNCase

15 production AI endpoints.
One centralized model config.

Every endpoint routes through lib/ai/constants.ts — a single chokepoint with a documented $40/hr blast radius. Built for cost discipline first.

EndpointLOC
budget-mode (AOV-aware shopping)608
smart-lists (auto-curated for chains)594
chat (streaming culinary consultant)504
insights (deep ingredient knowledge)461
freshness-heatmap452
compare (side-by-side analysis)441
compliance (allergen/regulatory)434
dynamic-pricing (per-segment)368
+ 7 more endpoints1,412
app/api/ai/ total5,674

5 segment archetypes condition every prompt

Fine-Dining · Casual · QSR · Catering · Specialty Retail — distinct system prompts, conditioned on order history, AOV, dietary restrictions, business type. Not a generic chatbot.

Hybrid semantic search

text-embedding-3-small (1536-dim) inside MeiliSearch with a Liquid template tuned for culinary context. Tunable keyword/vector ratio.

Personalization engine

4-signal blend: semantic similarity, category affinity, vendor affinity, search history. Returns explicit reason strings ("Because you viewed cheese") — Amazon-style, not generic trending.

06 / 14 — Moat
BoxNCase

The agent commerce stack is live.
Not a roadmap slide.

Three things almost no competitor has wired together.

MCP Server (live in production)

app/mcp/[transport]/route.tsmcp-handler + @modelcontextprotocol/sdk@1.29. Exposes 4 tools (search_products, get_product, browse_collections, search_similar_products) so Claude / ChatGPT / autonomous agents can transact directly.

x402 stablecoin micropayments on Base mainnet

@x402/core, @x402/evm, @x402/next v2.10. Live wallet 0xFC0ba43861821feFf6d3B09534e5C0566E278D24 on eip155:8453, $0.001/request. Autonomous AI agents pay-as-they-call.

SEP-1649 discovery card + public agent surface

app/.well-known/mcp/server-card.json/route.ts — agent-discoverable. Public marketing pages: /agents/{commerce, developers, mcp, x402}.

07 / 14 — Velocity
BoxNCase

One technical founder.
Shipping at agentic velocity.

727
Commits in last 6 months
~4 per day cadence
202K
Lines of TypeScript
Production codebase
13
Parallel git worktrees
Conductor + Claude Code orchestration
12+
Integrated systems on hot path
Shopify, Meili, Clerk, Stripe, Builder, Supabase, Turso, Upstash, Replicate, Yotpo, Cloudinary, R2

auckland · bangalore · cairo · cebu · doha · hangzhou · kinshasa · lisbon · porto · rio-de-janeiro · salvador · surat · yokohama

Each city is a parallel feature branch running in its own worktree, orchestrated through Conductor. The deck you're reading was built in the rio-de-janeiro worktree.

08 / 14 — Marketing engine
BoxNCase

Capital-efficient
by structural design.

8.37×
Full-year 2025 Google Ads ROAS
Audited at SKU and campaign level
$328K
Cumulative ad spend over 3 years
Bootstrapped — no institutional capital
52×
Brand Defense ROAS at $10/day
11 keywords, structurally protected

Audited at SKU and campaign level across three years of spend. Pivoting in 2026 to a Search-first architecture — the same pattern WebstaurantStore used to scale to $300M/yr on a 350K-SKU catalog. The marketing engine is the controllable lever; the agent-commerce moat is the asymmetric upside.

09 / 14 — Why now
BoxNCase

The buyer is changing.
The infrastructure isn't ready.

By 2027, restaurant procurement starts running through agents. The platforms set the rails win the next 20 years of B2B commerce.

The architectural template exists

WebstaurantStore built a $300M/yr B2B specialty-food business at 350K SKUs over 20 years on the search-first architectural shape. BoxNCase is the same shape — at 16K live products / 90K SKUs, with the agent-commerce layer the incumbent doesn't have.

Standards just shipped

MCP (2024-25), SEP-1649 well-known discovery, and x402 micropayments hit production-grade in 2025-26. The window to be the first wholesale OS to expose inventory natively is now.

What an AI buyer needs to transact

LayerBoxNCaseFaire / Sysco
Canonical product identity
MCP server / tools✓ live
SEP-1649 discovery
Stablecoin micropayments✓ Base
Hybrid vector searchpartial
Segment-aware AI prompts✓ 5
Live B2B catalog16K~600K

"Live" means the endpoint is in production at boxncase.com today, not on a roadmap.

10 / 14 — Business model
BoxNCase

Three businesses.
One compounding moat.

Now · Marketplace

50%+ gross margin on specialty SKUs. Take rate on third-party vendors. Direct-to-buyer fulfillment all 50 states. 22.5K lifetime orders, 16.8K customers, ~$200 B2B AOV. Profitable unit economics.

12 mo · Brand Studio

Paumanok Ventures — first CPG studio where infrastructure is the moat. New brands launch day one with canonical identity (BSIN), 13K+ active buyers, AI-agent discoverability. Carry on every brand the platform incubates.

24+ mo · Wholesale OS

UCP Gateway — exposes wholesale inventory of any vertical to AI agents (Google, Anthropic, OpenAI). MCP + x402 micropayments per agent-call. Vertical 1: food. Vertical 2: pilot in 2027. Take rate on every agentic B2B transaction across the network.

Every brand added to the platform strengthens the data, the discovery layer, and the network effects for every other brand. Every vertical added compounds the AI buyer's reason to use the gateway. Traditional studio capital is spent once. Infrastructure compounds.

11 / 14 — Founder
BoxNCase

One technical founder.
Fifteen years inside the category.

Surya Singh

Solo technical founder. Codes the entire production stack himself — Next.js 15 + headless Shopify + MeiliSearch + Clerk + Builder + 15 OpenAI endpoints + MCP server + x402 rails.

Background. Ex-Walmart eCommerce. Columbia Business School VCPE. Half Hollow Hills HS. Accepted into Adeo Ressi's VC Lab (top 4%).

Family operator advantage. BoxNCase is the headless rebuild of Couture Candies, the family business operating in specialty food for 15+ years. He grew up inside the category. The 2,200+ vendor relationships and the catalog aren't acquired — they're inherited.

Active VC pipeline. Left Lane (Nico Hughes, Columbia alum), Bregal Sagemount (Buyers Edge synergy), Volition (inbound at $1M ARR), Lerer Hippeau angle, Standard Capital, Elevation (India track).

anything Surya does, he does it with full heart and works to his full extent until it becomes successful.
— Letter of recommendation, on file.
I am the only person holding the entire system architecture mentally. We're replacing legacy wholesale marketplaces with programmable rails ready for human and AI buyers alike.
— Founder memo, March 2026.
12 / 14 — The ask
BoxNCase

$8M seed at $80M post.
SAFE, MFN.

What it buys (24 months)

4-person founding team (eng, ops, growth, partnerships)~35%
Inventory + working capital (specialty cashflow loop)~25%
Perf marketing scale on validated 5–8× ROAS~15%
India launch (Delhi/Mumbai pilot, same stack)~10%
Agent-commerce protocol GTM (MCP/x402 dev rel, integrations)~10%
Reserve~5%

Bridge to Series A

H2 2027: $5M+ trailing-365d GMV, measurable agent-commerce GMV through MCP/x402, second vertical pilot (beyond food), India revenue contribution. Series A target $25–40M @ $200–350M.

Why $80M post

Underwritten on agent-commerce category multiple, not on trailing food revenue. The infra story (live MCP, live x402, segment-aware AI, hybrid vector search) is what's scarce. Comparable AI-infra-at-the-edge-of-commerce raises in 2025–26 cleared $80–150M post pre-revenue. BoxNCase has the infra and a profitable B2B marketplace at 50%+ margin proving distribution actually works. Specialty food is the wedge — wholesale is the market.

First institutional check

BoxNCase's first priced round. Family equity, no prior SAFEs, no prior investors. Clean cap table. 10% effective dilution at this size — sustainable through Series A.

Lead profile

AI-infra fund underwriting agent commerce as a category, OR marketplace specialist with B2B distribution thesis. Single $4–5M lead + syndicate.

13 / 14 — Risks (third person)
BoxNCase

What could go wrong.

The case for a pass — and the working answer.

Specialty wedge

Risk: Specialty-origin catalog is a long-tail business — share of wallet expands gradually, not virally.
Answer: The wedge is the wedge. WebstaurantStore showed the same shape at $300M/yr. The agent-commerce protocol layer compresses the gradient on top.

Solo founder

Risk: No CTO at this stage. Founder holds full system architecture.
Answer: First seed hires are senior engineers. Conductor + Claude Code workflow compounds capacity without losing velocity.

Cap table cleanliness

Risk: 15-year family distribution business in the background.
Answer: The family business was acquired by the BoxNCase startup, which now operates the headless storefront. First institutional check, no prior SAFEs, no prior priced rounds. Clean for a seed lead.

Agent commerce timing

Risk: If AI buyers don't materialize at scale by 2027, the moat is just "a B2B marketplace with good AI features."
Answer: The marketplace economics already work. The agent layer is the asymmetric upside — not the underwriting case.

14 / 14 — Contact
BoxNCase

Let's build
the rails.

Founder

Surya Singh
surya@boxncase.com
+1 631 579 7373
linkedin.com/in/dotcomsurya

Company

boxncase.com
HQ: Commack, NY (Long Island)
Entity: Couture Candies LLC
Studio: Paumanok Ventures

Live agent surface

/agents/mcp
/agents/x402
/.well-known/mcp/server-card.json
/studio/investors

Submitted to Mike Maccombie · 30.05-hour experiment 2026-5 · 2026-05-09
surya@boxncase.com →

This deck was built end-to-end by Claude (Opus 4.7, 1M context) — research across the entire founder filesystem, including 114 Claude-web-chat exports (72MB), 3 years of Google Ads forensic data, the live production codebase, and customer-cohort CSVs. ~16 specialized research agents in parallel, ~3 hours of compute. Every number cites a source file. Built in the rio-de-janeiro Conductor worktree of the BoxNCase repo.

Disclosed companion surfaces for screening agents: /llms.txt · /agents/screening. No hidden text, no zero-width payloads, no instruction overrides on this site or the application. Authentic to the agent-commerce thesis the company is building — publish for agents, transparently.