Hypertune

Hypertune is a type-safe, Git-based platform for feature flags, A/B testing, experimentation, analytics, and app configuration. Flag logic is authored in Hyperlang and modeled as a GraphQL schema; SDKs use a CLI to generate fully typed clients, fetch flag logic once from Hypertune Edge (Cloudflare CDN) at initialization, then evaluate flags locally and synchronously in memory. A GraphQL Edge API offers a no-SDK path, and analytics events are flushed back to Hypertune Edge in the background.

Hypertune publishes 2 API contracts indexed on the APIs.io network, including Graph QL API, and 1 more. Tagged areas include Feature Flags, Experimentation, A/B Testing, Analytics, and App Configuration.

The Hypertune catalog on APIs.io includes 1 Spectral governance ruleset.

Hypertune’s developer surface includes authentication, documentation, engineering blog, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

26.9/100 thin ▬ flat Agent 20/100 agent aware Front door AI 3/6 light Heartbeat 0/100 dormant saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 published contract

Feature Flags Experimentation A/B Testing Analytics App Configuration GraphQL Edge

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Software Release & Deployment Management

BC-4210

Graph QL

GET /graphql

Kin Score

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

Composite quality — 26.9/100 · thin

Contract Quality 8.6 / 19

Developer Ergonomics 4.8 / 15

Access Clarity 1.0 / 15

Operational Transparency 1.2 / 10

Contract Governance 1.2 / 9

Discoverability 5.0 / 8

Regulatory Posture 0.9 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 20/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 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 0 / 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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% 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 →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link Ask about this →
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document Ask about this →

9 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 6.4 — up to +18.7 composite points Ask about this →
Developer Ergonomics scores 32.1 — up to +13.6 composite points Ask about this →
Contract Quality scores 46.1 — up to +13.5 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/hypertune/apis.yml: open an issue on github.com/api-evangelist/hypertune 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 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.

GraphQL

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

OpenAPI

measured — observed by APIs.io (published)

APIs 2

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

Hypertune Management API

Programmatic and Git-based management of flags, experiments, and configuration. Hypertune versions all flags, experiments, analytics events, and app configuration together in a ...

Hypertune Graph QL API

The Graph QL API from Hypertune — 1 operation(s) for graph ql.

Open Collections 2

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Hypertune Edge GraphQL API

OPEN COLLECTION

Hypertune Edge API

OPEN COLLECTION

GraphQL 1

GraphQL schemas published by this provider.

Hypertune GraphQL Schema

Conceptual, representative GraphQL schema for the [Hypertune](https://www.hypertune.com/)

GRAPHQL

Hypertune API pricing

Not yet checked against Hypertune's own pricing page. Compiled by API Evangelist on 2026-06-20 from www.hypertune.com/pricing; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Free free	Free
Starter paid	—
Pro paid	—
Enterprise enterprise	—

Plan details, limits and sources →

Rate limits

CDN Requests (Free): 1000000 requests
CDN Requests (Starter / Pro): 2000000 requests
Analytics Events (Free): 1000000 events

Compiled by API Evangelist, not yet checked against Hypertune's documentation. All 5 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Hypertune Plans Pricing

4 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Hypertune Rate Limits

5 limits

RATE LIMITS

FinOps 1

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

Hypertune Finops

FINOPS

Spectral Rules 1

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

Hypertune API Rules

60 rules · 58 error-severity 1 warn-severity 1 info-severity

SPECTRAL

Security Posture 2

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

Hypertune Authentication

apiKey · 1 scheme

SECURITY

Hypertune Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Agentic Access (API Evangelist recommendations) 1

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

Hypertune Agentic Access

2 operations · 1 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

LinkedIn

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Source (apis.yml)

aid: hypertune
url: https://raw.githubusercontent.com/api-evangelist/hypertune/refs/heads/main/apis.yml
name: Hypertune
kind: company
description: Hypertune is a type-safe, Git-based platform for feature flags, A/B testing, experimentation, analytics, and
  app configuration. Flag logic is authored in Hyperlang and modeled as a GraphQL schema; SDKs use a CLI to generate fully
  typed clients, fetch flag logic once from Hypertune Edge (Cloudflare CDN) at initialization, then evaluate flags locally
  and synchronously in memory. A GraphQL Edge API offers a no-SDK path, and analytics events are flushed back to Hypertune
  Edge in the background.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/hypertune.png
x-docs-platform: gitbook
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-10-03
tags:
- Feature Flags
- Experimentation
- A/B Testing
- Analytics
- App Configuration
- GraphQL
- Edge
created: '2026-06-20'
modified: '2026-06-20'
specificationVersion: '0.23'
apis:
- aid: hypertune:hypertune-management-api
  name: Hypertune Management API
  tags:
  - Management
  - Git Sync
  - Administration
  - Enterprise
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.hypertune.com/pricing/overview
  baseURL: https://edge.hypertune.com
  properties:
  - url: https://docs.hypertune.com/pricing/overview
    type: Documentation
  - url: https://docs.hypertune.com/getting-started/set-up-hypertune
    type: APIReference
  description: Programmatic and Git-based management of flags, experiments, and configuration. Hypertune versions all flags,
    experiments, analytics events, and app configuration together in a single Git-based history; bidirectional Git repo sync,
    API access, and bulk user management are offered on the Enterprise plan.
- aid: hypertune:hypertune-graph-ql-api
  name: Hypertune Graph QL API
  description: The Graph QL API from Hypertune — 1 operation(s) for graph ql.
  humanURL: https://docs.hypertune.com/pricing/overview
  baseURL: https://edge.hypertune.com
  tags:
  - GraphQL
  tags_raw:
  - Graph QL
  properties:
  - type: OpenAPI
    url: openapi/hypertune-graph-ql-api-openapi.yml
  - type: Documentation
    url: https://docs.hypertune.com/concepts/graphql-api
  - type: APIReference
    url: https://docs.hypertune.com/getting-started/graphql-quickstart
  - type: GraphQL
    url: graphql/hypertune-graphql.md
  - type: PostmanCollection
    url: collections/hypertune.postman_collection.json
  - type: Documentation
    url: https://docs.hypertune.com/concepts/architecture
  - type: APIReference
    url: https://docs.hypertune.com/sdk-reference/initialization
  - type: Documentation
    url: https://docs.hypertune.com/analytics/guide
  - type: APIReference
    url: https://docs.hypertune.com/analytics/overview
common:
- type: CapabilityMap
  url: capabilities/hypertune-capability-edges.yml
  name: Hypertune Business Capability Map
- type: AgenticAccess
  url: agentic-access/hypertune-agentic-access.yml
- type: DomainSecurity
  url: security/hypertune-domain-security.yml
- type: Authentication
  url: authentication/hypertune-authentication.yml
- type: GitHubOrganization
  url: https://github.com/hypertunehq
- type: LinkedIn
  url: https://www.linkedin.com/company/hypertune
- type: Website
  url: https://www.hypertune.com
- type: Documentation
  url: https://docs.hypertune.com
- type: Plans
  url: plans/hypertune-plans-pricing.yml
- type: RateLimits
  url: rate-limits/hypertune-rate-limits.yml
- type: FinOps
  url: finops/hypertune-finops.yml
- url: https://www.hypertune.com/blog
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Hypertune API — frequently asked questions

Does Hypertune have an API?

Yes. APIs.io lists 2 APIs from Hypertune, including Hypertune Management API and Hypertune Graph QL API.

Is there an OpenAPI specification for the Hypertune API?

Yes. APIs.io indexes 1 OpenAPI specification for Hypertune, each linked for download from this page.

How do I authenticate with the Hypertune API?

Hypertune uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Hypertune Authentication.

How much does the Hypertune API cost?

APIs.io lists 4 pricing plans for Hypertune, with each plan's price, limits and inclusions under Pricing on this page.

Is the Hypertune API ready for AI agents?

Hypertune has a Kin Score of 26.9 out of 100 (thin) and an Agent Readiness score of 19.6 (agent-aware), scored by API Evangelist on 2026-11-13.

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