vibeseo-dev

VibeSEO provides an AI‑powered SEO platform that creates, publishes, and optimizes website content to rank highly on Google and emerging AI search assistants. The service offers automated article generation, keyword research, backlink analysis, and continuous monitoring of brand mentions across AI models like ChatGPT and Gemini. Pricing is usage‑based with credit packs, and the platform integrates with popular site builders and browsers to streamline SEO workflows for businesses of all sizes.

vibeseo-dev is profiled on the APIs.io network. Tagged areas include Company, AI, SEO, Marketing, and Automation.

vibeseo-dev’s developer surface includes pricing, engineering blog, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

21.0/100 emerging Agent 18/100 agent aware Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

0 APIs

CompanyAISEO Marketing Automation

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 21.0/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 13.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 2.7 / 15

Agent readiness — 18/100 · 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 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

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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

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 0.0 — up to +25.0 composite points
Developer Ergonomics scores 2.4 — up to +19.5 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/vibeseo-dev/apis.yml: open an issue on github.com/api-evangelist/vibeseo-dev 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 →

Pricing Plans 1

Published pricing tiers and plan structures.

Vibeseo Dev Plans Pricing

3 plans

PLANS

Security Posture 1

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

Vibeseo Dev Domain Security

TLSv1.3 · 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

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

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Hosts

Hosts

Source (apis.yml)

aid: vibeseo-dev
name: vibeseo-dev
image: https://vibeseo.dev/brand/vibeseo-og.jpg
description: VibeSEO provides an AI‑powered SEO platform that creates, publishes, and optimizes website content to rank highly
  on Google and emerging AI search assistants. The service offers automated article generation, keyword research, backlink
  analysis, and continuous monitoring of brand mentions across AI models like ChatGPT and Gemini. Pricing is usage‑based with
  credit packs, and the platform integrates with popular site builders and browsers to streamline SEO workflows for businesses
  of all sizes.
url: https://artifacts.apis.io/vibeseo-dev/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-30 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-30'
modified: '2026-10-30'
tags:
- Company
- AI
- SEO
- Marketing
- Automation
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/vibeseo-dev-plans-pricing.yml
- type: LLMsTxt
  url: llms/vibeseo-dev-llms.txt
- type: WellKnown
  url: well-known/vibeseo-dev-well-known.yml
- type: Hosts
  url: hosts/vibeseo-dev-hosts.yml
- type: TermsOfService
  url: https://vibeseo.dev/terms-of-service
- type: PrivacyPolicy
  url: https://vibeseo.dev/privacy-policy
- type: Login
  url: https://vibeseo.dev/login
- type: DomainSecurity
  url: security/vibeseo-dev-domain-security.yml
- type: Website
  url: https://vibeseo.dev/
- type: Pricing
  url: https://vibeseo.dev/pricing
- type: Blog
  url: https://vibeseo.dev/blog/
apis: []
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: No OpenAPI, AsyncAPI, GraphQL, gRPC, or WSDL contracts were found on the API host or documentation pages.
  evidence:
  - url: https://api.vibeseo.dev/openapi.json
    status: 404
  checked: '2026-10-30'
x-enrichment:
  date: '2026-10-30'
  status: enriched
  artifacts_added: 12
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

vibeseo-dev API — frequently asked questions

How much does the vibeseo-dev API cost?

APIs.io lists 3 pricing plans for vibeseo-dev, with each plan's price, limits and inclusions under Pricing Plans on this page.

Is the vibeseo-dev API ready for AI agents?

vibeseo-dev has a Kin Score of 21.0 out of 100 (emerging) and an Agent Readiness score of 18.2 (agent-aware), scored by API Evangelist on 2026-10-31.

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