Octane AI

Octane AI is an AI-powered quiz and product-recommendation platform for Shopify merchants, turning storefront browsers into buyers with no-code personalized quizzes, zero-party data capture, and its CORE-1 recommendation engine. It integrates with 50+ marketing, CRM, and automation tools (Klaviyo, Attentive, Postscript, Recharge, Gorgias, Zapier, Alloy) and syncs shopper data in real time. Its developer surface is client-side rather than a public REST API: an embeddable quiz widget that dispatches a documented set of browser JavaScript events (octane.quiz.*), custom CSS/JS injection hooks, a headless-store integration path, and a per-account API key plus webhook secret used for integrations and outbound webhook verification. Backed by Bullpen Capital and General Catalyst.

Octane AI is profiled on the APIs.io network. Tagged areas include Company, Shopify, E-Commerce, Product Recommendations, and Quizzes.

The Octane AI catalog on APIs.io includes 1 event-driven AsyncAPI specification.

Octane AI’s developer surface includes documentation, getting-started guide, support, engineering blog, pricing, signup flow, authentication, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

46.9/100 developing ▬ flat Agent 22/100 agent aware Front door AI 6/6 dominant Heartbeat 0/100 dormant saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

0 APIs

Company Shopify E-Commerce Product Recommendations Quizzes Personalization Zero-Party Data Marketing Conversion Optimization Artificial Intelligence

Kin Score

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

Composite quality — 46.9/100 · developing

Contract Quality 8.3 / 21

Developer Ergonomics 8.5 / 17

Access Clarity 13.2 / 17

Operational Transparency 2.3 / 11

Contract Governance 1.9 / 10

Discoverability 4.7 / 9

Regulatory Posture 3.4 / 15

Agent readiness — 22/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 6 / 6

Agent Skills 0 / 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 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 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):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
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
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

9 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 39.0 — up to +15.3 composite points
Operational Transparency scores 21.1 — up to +10.3 composite points
Developer Ergonomics scores 50.0 — up to +10.0 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/octane-ai/apis.yml: open an issue on github.com/api-evangelist/octane-ai 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
Commerce Platform Ecosystems (Shopify, WooCommerce, Stripe Apps)	builds-on	10.1	-	-

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.

Octane AI API pricing

Prices published by Octane AI, read 2026-10-28 from octaneai.com/pricing.

Plan	Price
Octane AI Basic	$50/month Includes: 400 credits included; limited to two quizzes
Octane AI Plus	$200/month Includes: 2,200 credits included; unlimited quizzes
Octane AI Enterprise & Unlimited	$500+/month Includes: 7,250+ credits or unlimited

Plan details, limits and sources →

Billed by: subscription · FinOps profile →

Pricing Plans 2

Published pricing tiers and plan structures.

Octane Ai Plans Pricing

3 plans

PLANS

Octane Ai Price Estimates

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Octane Ai Rate Limits

0 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Octane Ai Finops

FINOPS

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Octane Ai Webhooks

ASYNCAPI

Security Posture 2

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

Octane Ai Authentication

apiKey · 4 schemes

SECURITY

Octane Ai Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

Components

Webhooks

Lifecycle

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

RateLimits

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

Plans

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: octane-ai
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: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: high
  source:
  - plans
  - authentication
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/octane-ai.png
name: Octane AI
description: 'Octane AI is an AI-powered quiz and product-recommendation platform for Shopify merchants, turning storefront
  browsers into buyers with no-code personalized quizzes, zero-party data capture, and its CORE-1 recommendation engine. It
  integrates with 50+ marketing, CRM, and automation tools (Klaviyo, Attentive, Postscript, Recharge, Gorgias, Zapier, Alloy)
  and syncs shopper data in real time. Its developer surface is client-side rather than a public REST API: an embeddable quiz
  widget that dispatches a documented set of browser JavaScript events (octane.quiz.*), custom CSS/JS injection hooks, a headless-store
  integration path, and a per-account API key plus webhook secret used for integrations and outbound webhook verification.
  Backed by Bullpen Capital and General Catalyst.'
url: https://raw.githubusercontent.com/api-evangelist/octane-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bullpen-capital
- general-catalyst
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-13'
tags:
- Company
- Shopify
- E-Commerce
- Product Recommendations
- Quizzes
- Personalization
- Zero-Party Data
- Marketing
- Conversion Optimization
- Artificial Intelligence
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://octaneai.com
- type: DeveloperPortal
  url: https://help.octaneai.com/en/collections/9496268-developer-docs
- type: Documentation
  url: https://help.octaneai.com
- type: GettingStarted
  url: https://help.octaneai.com/en/articles/4346619-getting-started-with-quizzes
- type: Support
  url: https://help.octaneai.com
- type: Blog
  url: https://octaneai.com/blog
- type: Pricing
  url: https://octaneai.com/pricing
- type: SignUp
  url: https://app.octaneai.com/dashboard/sign-up
- type: Login
  url: https://app.octaneai.com/dashboard/
- type: TermsOfService
  url: https://octaneai.com/terms
- type: PrivacyPolicy
  url: https://octaneai.com/privacy
- type: GitHubOrganization
  url: https://github.com/octaneai
- type: Authentication
  url: authentication/octane-ai-authentication.yml
- type: Conventions
  url: conventions/octane-ai-conventions.yml
- type: Components
  url: components/octane-ai-components.yml
- type: LLMsTxt
  url: llms/octane-ai-llms.txt
- type: DomainSecurity
  url: security/octane-ai-domain-security.yml
- type: Webhooks
  url: asyncapi/octane-ai-webhooks.yml
- type: Plans
  url: plans/octane-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/octane-ai-rate-limits.yml
- type: Lifecycle
  url: lifecycle/octane-ai-lifecycle.yml
- type: Conformance
  url: conformance/octane-ai-conformance.yml
x-enrichment:
  date: '2026-08-13'
  status: enriched
  artifacts_added: 7
  pass: local-v1

Octane AI API — frequently asked questions

How do I authenticate with the Octane AI API?

Octane AI uses bearer-token authentication (apiKey · 4 schemes). The details are profiled on APIs.io as Octane Ai Authentication.

How much does the Octane AI API cost?

Octane AI publishes its prices; its Octane AI Basic plan is $50/month as of 2026-10-28. APIs.io lists 3 pricing plans for Octane AI, with each plan's price, limits and inclusions under Pricing on this page.

Is the Octane AI API ready for AI agents?

Octane AI has a Kin Score of 46.9 out of 100 (developing) and an Agent Readiness score of 22.3 (agent-aware), scored by API Evangelist on 2026-11-06.

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