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 is listed with 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 📡 Profile data on GitHub

32.4/100 thin ▬ flat Agent 25/100 agent aware Front door AI 4/6 moderate Heartbeat 81/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

2 APIs 1 MCP Servers 1 Agent Skills

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

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 32.4/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 7.6 / 17

Access Clarity 7.8 / 17

Operational Transparency 2.0 / 11

Contract Governance 1.9 / 10

Discoverability 6.4 / 9

Regulatory Posture 4.4 / 15

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

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

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.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

8 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 44.6 — up to +11.1 composite points
Access Clarity scores 46.1 — up to +10.8 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/polar-analytics/apis.yml: open an issue on github.com/api-evangelist/polar-analytics to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Amazon Seller Ecosystem (Selling Partner Appstore, Amazon Ads partners)	builds-on	26.8 (thin)	1	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

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. Exposes 8 too...

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

Remote MCP server at api.polaranalytics.com over HTTP; 8 tools listed.

MCP SERVER

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

Generate an ecommerce analytics report with Polar

AGENT SKILL

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: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  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

Polar Analytics API — frequently asked questions

Does Polar Analytics have an API?

Yes. APIs.io lists 2 APIs from Polar Analytics, including Polar Headless MCP and Polar Pixel.

How do I authenticate with the Polar Analytics API?

Polar Analytics documents its authentication (http/oauth2 · 2 schemes). The details are profiled on APIs.io as Polar Analytics Authentication.

Does Polar Analytics have an MCP server?

Yes. APIs.io lists 1 MCP server for Polar Analytics: Remote MCP server at api.polaranalytics.com over HTTP; 8 tools listed.

Is the Polar Analytics API ready for AI agents?

Polar Analytics has a Kin Score of 32.4 out of 100 (thin) and an Agent Readiness score of 24.6 (agent-aware), scored by API Evangelist on 2026-11-06.

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