Polar Analytics

Polar Analytics is an all-in-one data analytics and AI platform purpose-built for Shopify-based ecommerce and DTC brands. It consolidates data from 45+ sources into a dedicated Snowflake warehouse, ships 400+ pre-built ecommerce metrics with a semantic layer, and adds a first-party pixel with lifetime ID, incrementality testing, Klaviyo audience enrichment, and advertising conversion signals for Meta and Google. Its AI layer includes agents for data analysis, media buying, email marketing, and inventory planning, all exposed to LLM clients through the hosted Polar Headless MCP server at api.polaranalytics.com/mcp with Bearer API-key and OAuth 2.0 access. Backed by point-nine.

Polar Analytics publishes 2 APIs on the APIs.io network. Tagged areas include Company, Analytics, E-Commerce, Shopify, and Business Intelligence.

Polar Analytics’ developer surface includes authentication, documentation, support, pricing, engineering blog, and 17 more developer resources.

🌐 Visit website 📡 Source on GitHub

30.3/100 thin ▬ flat Agent 25/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessSelf serve

2 APIs 1 MCP Servers

Company Analytics E-Commerce Shopify Business Intelligence MCP AI Agents Data

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 30.3/100 · thin

Contract Quality 0.0 / 25

Developer Ergonomics 8.9 / 20

Access Clarity 9.2 / 20

Operational Transparency 2.4 / 13

Contract Governance 2.2 / 12

Discoverability 7.6 / 10

Agent readiness — 25/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/polar-analytics: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 2

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

Polar Headless MCP

Hosted Model Context Protocol server that doubles as Polar's HTTP API surface; invoke tools at POST https://api.polaranalytics.com/mcp/tool/ with a Bearer API key. Ex...

Polar Pixel

First-party, server-side tracking pixel that captures the ecommerce customer journey from the merchant's own domain and builds a graph-based Lifetime ID. Client events are repor...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Polar Headless MCP

MCP SERVER

Security Posture 2

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

Polar Analytics Authentication

http/oauth2 · 2 schemes

SECURITY

Polar Analytics Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

MCPServer

WellKnown

LLMsTxt

AgentSkill

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Conventions

Conventions

Conformance

Conformance

Lifecycle

Lifecycle

Build 3

SDKs, sample code, and the tooling you integrate with

Packages

Packages

SDKs

SDKs

GitHubOrganization

GitHubOrganization

Access & Security 3

Authentication, authorization, and security posture

Authentication

Authentication

Compliance

Compliance

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

StatusPage

StatusPage

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: polar-analytics
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/polar-analytics.png
name: Polar Analytics
description: Polar Analytics is an all-in-one data analytics and AI platform purpose-built for Shopify-based ecommerce and
  DTC brands. It consolidates data from 45+ sources into a dedicated Snowflake warehouse, ships 400+ pre-built ecommerce metrics
  with a semantic layer, and adds a first-party pixel with lifetime ID, incrementality testing, Klaviyo audience enrichment,
  and advertising conversion signals for Meta and Google. Its AI layer includes agents for data analysis, media buying, email
  marketing, and inventory planning, all exposed to LLM clients through the hosted Polar Headless MCP server at api.polaranalytics.com/mcp
  with Bearer API-key and OAuth 2.0 access. Backed by point-nine.
url: https://raw.githubusercontent.com/api-evangelist/polar-analytics/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- point-nine
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Analytics
- E-Commerce
- Shopify
- Business Intelligence
- MCP
- AI Agents
- Data
tags_raw:
- Company
- Analytics
- Ecommerce
- Shopify
- Business Intelligence
- MCP
- AI Agents
- Data
apis:
- name: Polar Headless MCP
  description: Hosted Model Context Protocol server that doubles as Polar's HTTP API surface; invoke tools at POST https://api.polaranalytics.com/mcp/tool/<tool_name>
    with a Bearer API key. Exposes 8 tools for generating ecommerce analytics reports, dashboards, dimensions, and shareable
    deep links.
  humanURL: https://intercom.help/polar-app/en/articles/12960325-using-mcp-tools-as-an-api
  baseURL: https://api.polaranalytics.com
  properties:
  - type: MCPServer
    url: mcp/polar-analytics-mcp.yml
  - type: Authentication
    url: authentication/polar-analytics-authentication.yml
  - type: APIReference
    url: https://intercom.help/polar-app/en/articles/12960325-using-mcp-tools-as-an-api
- name: Polar Pixel
  description: First-party, server-side tracking pixel that captures the ecommerce customer journey from the merchant's own
    domain and builds a graph-based Lifetime ID. Client events are reported via the @polar-analytics/pixel-sdk to the pixel
    ingestion endpoint at pixel-api.polaranalytics.com.
  humanURL: https://www.polaranalytics.com/features/polar-pixel-and-lifetime-id
  baseURL: https://pixel-api.polaranalytics.com
  properties:
  - type: SDKs
    url: packages/polar-analytics-packages.yml
  - type: Documentation
    url: https://intercom.help/polar-app/en/articles/6752194-using-the-polar-pixel-complete-installation-tracking-setup-guide
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.polaranalytics.com
- type: MCPServer
  url: mcp/polar-analytics-mcp.yml
- type: WellKnown
  url: well-known/polar-analytics-well-known.yml
- type: Authentication
  url: authentication/polar-analytics-authentication.yml
- type: Conventions
  url: conventions/polar-analytics-conventions.yml
- type: Conformance
  url: conformance/polar-analytics-conformance.yml
- type: Compliance
  url: https://www.polaranalytics.com/policy
- type: LLMsTxt
  url: llms/polar-analytics-llms.txt
- type: AgentSkill
  url: skills/_index.yml
- type: DomainSecurity
  url: security/polar-analytics-domain-security.yml
- type: Packages
  url: packages/polar-analytics-packages.yml
- type: SDKs
  url: packages/polar-analytics-packages.yml
- type: Lifecycle
  url: lifecycle/polar-analytics-lifecycle.yml
- type: StatusPage
  url: https://polaranalytics.statuspage.io/
- type: GitHubOrganization
  url: https://github.com/polar-analytics
- type: Documentation
  url: https://intercom.help/polar-app/en/
- type: Support
  url: https://intercom.help/polar-app/en/
- type: Pricing
  url: https://www.polaranalytics.com/pricing
- type: Blog
  url: https://www.polaranalytics.com/blog
- type: Login
  url: https://app.polaranalytics.com/login
- type: TermsOfService
  url: https://www.polaranalytics.com/policy
- type: PrivacyPolicy
  url: https://www.polaranalytics.com/policy
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 12
  pass: local-v1

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