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Happy Cabbage Analytics website screenshot

Happy Cabbage Analytics

Happy Cabbage Analytics is a cannabis retail software company founded in 2019 and headquartered in San Francisco, California, whose Happy Buyers platform gives dispensary buyers AI-assisted inventory management, demand forecasting, replenishment and purchase-order workflows on top of data pulled from their point-of-sale system. The platform reads live sell-through from POS integrations (Dutchie, Flowhub, Blaze, Treez, Meadow) and wholesale menus (Distru, Apex Trading), then scores inventory health by store, category and brand, predicts days-on-hand, groups SKUs into product lines, and drafts vendor orders with invoices attached. Happy Cabbage sold its Happy Marketers text-marketing suite to Alpine IQ in June 2025 and now focuses on Happy Buyers. A public Happy Buyers External API entered beta in June 2026 and is documented with a Swagger UI, exposing organization metadata, inventory health, product/product-line inventory, packages, daily sales metadata and full order management to API-key holders — the same API the company's own published AI-agent workflows are built on.

agent aware

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Happy Cabbage Analytics the way a machine reads it — 18 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Happy Cabbage Analytics scores 35.1/100 (thin), with a separate agent-readiness read of 28/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.

Kin Score Kin Score How this is scored →
scored 2026-10-04 · rubric v0.23.0
Happy Cabbage Analytics Kin Score — API readiness rating by API Evangelist

Put this on your own site. The badge is drawn live from Happy Cabbage Analytics's current Kin Score — paste it once and it updates itself every time the score is recomputed. It follows your visitor's light or dark setting, and it links back here so anyone who sees it can read the full breakdown.

<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/happy-cabbage-analytics/"
   title="Happy Cabbage Analytics on API Evangelist — API profile and Kin Score">
  <img src="https://apis.io/badge/happy-cabbage-analytics.svg"
       alt="Happy Cabbage Analytics Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>

More shapes, themes and sizes → · Score as JSON · How badges work

How we profile Happy Cabbage Analytics

Each block below is one kind of artifact we hold for Happy Cabbage Analytics. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 14

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

Happy Cabbage Analytics Daily Sales Metadata API

Daily product sales and stock metadata

Happy Cabbage Analytics Identity API

API key identity and organization context

Happy Cabbage Analytics Packages API

Package-level product inventory

Happy Cabbage Analytics POS Brands API

Organization POS brand metadata and mappings

Happy Cabbage Analytics POS Categories API

Organization POS category metadata and mappings

Happy Cabbage Analytics Product Inventory API

Product-level inventory, sales, and demand metrics

Happy Cabbage Analytics Product Line Inventory API

Product-line inventory, demand, and replenishment metrics

Happy Cabbage Analytics Stores API

Organization location metadata

Happy Cabbage Analytics Universal Brands API

Canonical brand metadata across POS systems

Happy Cabbage Analytics Universal Categories API

Canonical product category metadata across POS systems

Scroll within the panel for all 14 ·

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.

Published pricing tiers and plan structures.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Happy Cabbage Analytics Authentication

apiKey · 1 scheme

SECURITY

Happy Cabbage Analytics Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Every other property we hold for Happy Cabbage Analytics — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Get Started 2

Portal, sign-up, and the first successful call

Documentation 3

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Build 2

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Other 2

Properties that don't map to a standard resource type

← All providers · Data indexed from github.com/api-evangelist/happy-cabbage-analytics · machine-readable index on apis.io

Where this information came from

This is an independent, third-party profile of Happy Cabbage Analytics, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.

Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.