Hypotize

Hypotize provides an agent‑native Growth OS that equips teams with a framework, MCP server, skills, and plugins to turn AI agents into disciplined growth hackers. It supports experiment staging, outcome measurement, shared memory of learnings, and integrates with Claude, ChatGPT, Grok Bot, and Cursor to automate growth workflows.

Hypotize publishes 4 API contracts indexed on the APIs.io network, including Comments API, Experiments API, Learnings API, and 1 more. Tagged areas include Growth, Artificial Intelligence, Automation, Experimentation, and Platform.

The Hypotize catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Hypotize’s developer surface includes documentation, API reference, authentication, pricing, getting-started guide, and 18 more developer resources.

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36.8/100 thin Agent 43/100 agent ready Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 published contract 1 Agent Skills

Growth Artificial Intelligence Automation Experimentation Platform Company

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 36.8/100 · thin

Contract Quality 11.6 / 21

Developer Ergonomics 7.2 / 17

Access Clarity 4.3 / 17

Operational Transparency 0.0 / 11

Contract Governance 2.2 / 10

Discoverability 5.6 / 9

Regulatory Posture 2.6 / 15

Agent readiness — 43/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 9

Stable Error Semantics 8 / 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 5 / 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):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented) Ask about this →
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link Ask about this →
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks Ask about this →
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too Ask about this →

4 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 25.5 — up to +14.9 composite points Ask about this →
Operational Transparency scores 0.0 — up to +13.0 composite points Ask about this →
Developer Ergonomics scores 42.3 — up to +11.5 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/hypotize-ai/apis.yml: open an issue on github.com/api-evangelist/hypotize-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 →

Standards implemented 3

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.

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

OpenAPI

measured — observed by APIs.io (published)

APIs 4

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

Hypotize Comments API

Dated notes on an experiment.

Hypotize Experiments API

Ideas, tests in the pipeline and their outcomes. An idea is an experiment in the Idea status.

Hypotize Learnings API

Closed experiments with their result and learning.

Hypotize Projects API

Projects you can access.

Agent Skills 1

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

hypotize-ai-experiment-lifecycle

AGENT SKILL

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Hypotize Ai Context

1 classes · 1 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

Hypotize API Rules

69 rules · 67 error-severity 1 warn-severity 1 info-severity

SPECTRAL

Security Posture 2

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

Hypotize Authentication

http · 1 scheme

SECURITY

Hypotize Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access (API Evangelist recommendations) 1

Recommended x-agentic-access execution contracts for AI agents.

Hypotize Agentic Access

11 operations · 6 acting

AGENTIC

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgentSkill

LLMsTxt

WellKnown

Design & Contract 8

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

Idempotency

Conventions

ErrorCatalog

Conformance

Scroll for all 8

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Pricing

Pricing

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: hypotize-ai
name: Hypotize
description: Hypotize provides an agent‑native Growth OS that equips teams with a framework, MCP server, skills, and plugins
  to turn AI agents into disciplined growth hackers. It supports experiment staging, outcome measurement, shared memory of
  learnings, and integrates with Claude, ChatGPT, Grok Bot, and Cursor to automate growth workflows.
url: https://artifacts.apis.io/hypotize-ai/apis.yml
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
image: https://hypotize.ai/social/home.png
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-12 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-11'
modified: '2026-11-11'
tags:
- Growth
- Artificial Intelligence
- Automation
- Experimentation
- Platform
- Company
tags_raw:
- Growth
- AI
- Automation
- Experimentation
- Platform
- Company
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Documentation
  url: https://hypotize.ai/guides/ab-testing-tools
- type: AgenticAccess
  url: agentic-access/hypotize-ai-agentic-access.yml
- type: Spectral
  url: rules/hypotize-ai-rules.yml
- type: JSONLD
  url: json-ld/hypotize-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/hypotize-ai-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/hypotize-ai-data-model.yml
- type: Idempotency
  url: conventions/hypotize-ai-conventions.yml
- type: Conventions
  url: conventions/hypotize-ai-conventions.yml
- type: ErrorCatalog
  url: errors/hypotize-ai-problem-types.yml
- type: Conformance
  url: conformance/hypotize-ai-conformance.yml
- type: LLMsTxt
  url: llms/hypotize-ai-llms.txt
- type: WellKnown
  url: well-known/hypotize-ai-well-known.yml
- type: Hosts
  url: hosts/hypotize-ai-hosts.yml
- type: Vendors
  url: vendors/hypotize-ai-vendors.yml
- type: TermsOfService
  url: https://hypotize.ai/terms
- type: PrivacyPolicy
  url: https://hypotize.ai/privacy
- type: APIReference
  url: https://hypotize.ai/developers
- type: Authentication
  url: authentication/hypotize-ai-authentication.yml
- type: DomainSecurity
  url: security/hypotize-ai-domain-security.yml
- type: Website
  url: https://hypotize.ai/
- type: Pricing
  url: https://hypotize.ai/pricing
- type: GettingStarted
  url: https://hypotize.ai/guides/experiment-memory
apis:
- aid: hypotize-ai:hypotize-ai-comments-api
  name: Hypotize Comments API
  description: Dated notes on an experiment.
  humanURL: https://hypotize.ai/docs
  baseURL: https://api.hypotize.ai/v1
  tags:
  - Comments
  properties:
  - type: OpenAPI
    url: openapi/hypotize-ai-comments-api-openapi.yml
- aid: hypotize-ai:hypotize-ai-experiments-api
  name: Hypotize Experiments API
  description: Ideas, tests in the pipeline and their outcomes. An idea is an experiment in the Idea status.
  humanURL: https://hypotize.ai/docs
  baseURL: https://api.hypotize.ai/v1
  tags:
  - Experiments
  properties:
  - type: OpenAPI
    url: openapi/hypotize-ai-experiments-api-openapi.yml
- aid: hypotize-ai:hypotize-ai-learnings-api
  name: Hypotize Learnings API
  description: Closed experiments with their result and learning.
  humanURL: https://hypotize.ai/docs
  baseURL: https://api.hypotize.ai/v1
  tags:
  - Learnings
  properties:
  - type: OpenAPI
    url: openapi/hypotize-ai-learnings-api-openapi.yml
- aid: hypotize-ai:hypotize-ai-projects-api
  name: Hypotize Projects API
  description: Projects you can access.
  humanURL: https://hypotize.ai/docs
  baseURL: https://api.hypotize.ai/v1
  tags:
  - Project
  tags_raw:
  - Projects
  properties:
  - type: OpenAPI
    url: openapi/hypotize-ai-projects-api-openapi.yml
x-enrichment:
  date: '2026-11-12'
  status: enriched
  artifacts_added: 28
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Hypotize API — frequently asked questions

Does Hypotize have an API?

Yes. APIs.io lists 4 APIs from Hypotize, including Hypotize Comments API, Hypotize Experiments API and Hypotize Learnings API, and 1 more.

Is there an OpenAPI specification for the Hypotize API?

Yes. APIs.io indexes 4 OpenAPI specifications for Hypotize, each linked for download from this page.

How do I authenticate with the Hypotize API?

Hypotize documents its authentication (http · 1 scheme). The details are profiled on APIs.io as Hypotize Authentication.

Is the Hypotize API ready for AI agents?

Hypotize has a Kin Score of 36.8 out of 100 (thin) and an Agent Readiness score of 42.8 (agent-ready), scored by API Evangelist on 2026-11-13.

Work with this as data

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MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

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