Kenerate AI

About Kenerate AI: the AI image, video, music, voice and 3D studio at kenerateai.com, built by a self‑funded team in Darbhanga, India. 200+ models; credits never expire.

Kenerate AI is profiled on the APIs.io network. Tagged areas include AI Generation, Image Editing, Video Generation, Audio Generation, and 3D Content.

Kenerate AI’s developer surface includes pricing, engineering blog, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

18.2/100 emerging ▼ -5.4 Agent 15/100 agent aware Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

0 APIs

AI Generation Image Editing Video Generation Audio Generation 3D Content Creative Tools

Kin Score

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

Composite quality — 18.2/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.2 / 17

Access Clarity 9.2 / 17

Operational Transparency 0.0 / 11

Contract Governance 1.9 / 10

Discoverability 3.9 / 9

Regulatory Posture 3.1 / 15

Agent readiness — 15/100 · agent aware

Machine-Readable Contract 0 / 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 0 / 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 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 AI & Biometrics 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
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

10 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 1.2 — up to +19.8 composite points
Operational Transparency scores 0.0 — up to +13.0 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/kenerateai/apis.yml: open an issue on github.com/api-evangelist/kenerateai 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 1

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.

Dynamic Client Registration

measured — observed by APIs.io (published)

Kenerate AI API pricing

Prices published by Kenerate AI, read 2026-10-18 from kenerateai.com/pricing.

Plan	Price
Starter	$15 one-time
Creator	$29 one-time
Professional	$49 one-time
Studio	$79 one-time
Enterprise	$109 one-time
Custom amount	$10 for every 1,000 credits · $50 – $5,000

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Kenerateai Plans Pricing

6 plans

PLANS

Security Posture 1

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

Kenerateai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 4

Pricing, plans, and the legal terms of use

Plans

TermsOfService

PrivacyPolicy

Pricing

Company 2

The organization behind the API

Blog

Blog

Website

Website

Other 1

Properties that don't map to a standard resource type

Hosts

Hosts

Source (apis.yml)

aid: kenerateai
name: Kenerate AI
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  probe_state: unreadable
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://storage.kenerateai.com/seo/home/hero-2-v1.webp
description: 'About Kenerate AI: the AI image, video, music, voice and 3D studio at kenerateai.com, built by a self‑funded
  team in Darbhanga, India. 200+ models; credits never expire.'
url: https://raw.githubusercontent.com/api-evangelist/kenerateai/refs/heads/main/apis.yml
x-type: company
x-source: harvest:new-submission
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-18 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-17'
modified: '2026-10-17'
tags:
- AI Generation
- Image Editing
- Video Generation
- Audio Generation
- 3D Content
- Creative Tools
tags_raw:
- AI generation
- Image editing
- Video generation
- Audio generation
- 3D content
- Creative tools
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/kenerateai-plans-pricing.yml
- type: Conformance
  url: conformance/kenerateai-conformance.yml
- type: LLMsTxt
  url: llms/kenerateai-llms.txt
- type: WellKnown
  url: well-known/kenerateai-well-known.yml
- type: Hosts
  url: hosts/kenerateai-hosts.yml
- type: TermsOfService
  url: https://kenerateai.com/terms
- type: PrivacyPolicy
  url: https://kenerateai.com/privacy
- type: Pricing
  url: https://kenerateai.com/pricing
- type: Login
  url: https://kenerateai.com/login
- type: Blog
  url: https://kenerateai.com/blog/ai-twerk-dance-video-prompts-guide
- type: DomainSecurity
  url: security/kenerateai-domain-security.yml
- type: Website
  url: https://kenerateai.com
apis: []
x-submission-notes: Remote MCP https://mcp.kenerateai.com/mcp (streamable HTTP, OAuth); setup https://kenerateai.com/app/mcp.
  Wraps 80+ third-party image/video/music/speech/3D models; credit packs. Model resale -- consistent with Kin approving AllModels
  2026-10-15.
x-submission-probe: root, setup page 200; MCP 401 (OAuth); invented path 404
x-submitted-by: support@kenerateai.com (email, 2026-10-15)
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  method: derived
  generated: '2026-10-18'
  generator: derive-coverage.py (pre-flight evidence)
  detail: the company publishes developer documentation but serves no machine-readable contract from it
  evidence:
  - url: https://kenerateai.com
    status: 200
x-enrichment:
  date: '2026-10-18'
  status: enriched
  artifacts_added: 12
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Kenerate AI API — frequently asked questions

How much does the Kenerate AI API cost?

Kenerate AI publishes its prices; its Starter plan is $15 one-time as of 2026-10-18. APIs.io lists 6 pricing plans for Kenerate AI, with each plan's price, limits and inclusions under Pricing on this page.

Is the Kenerate AI API ready for AI agents?

Kenerate AI has a Kin Score of 18.2 out of 100 (emerging) and an Agent Readiness score of 15.1 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

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find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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