Eyva

Eyva (operated by datazeit GmbH of Cologne, Germany) is an AI-powered portfolio-intelligence platform for the beauty and personal-care industry. It unifies consumer, market, and product data so product, marketing, and R&D teams can detect emerging consumer trends across Google search, TikTok, Instagram, and product reviews, benchmark their portfolio, run gap and competitive analysis, track ingredients and claims, and develop AI-assisted product concepts. The platform bundles an AI research assistant, automated AI reporting, and data-backed product recommendations, and is used by 700+ teams at brands including Beiersdorf, Nivea, dm, BASF, Babor, and Lavera. Eyva is a portfolio company of Earlybird Venture Capital. It is a B2B SaaS delivered through a demo-led sales motion and an authenticated web application; no public developer API surface is currently published.

Eyva is profiled on the APIs.io network. Tagged areas include Company, Beauty, Personal Care, Consumer Insights, and Market Intelligence.

Eyva’s developer surface includes engineering blog and 6 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

7.8/100 minimal ▬ flat Agent 0/100 human only Front door AI 5/6 prominent saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Beauty Personal Care Consumer Insights Market Intelligence Artificial Intelligence Product DevelopmentTrend DetectionSoftware-as-a-Service Analytics

Kin Score

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

Composite quality — 7.8/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 2.9 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 1.4 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 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 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):

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
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
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

13 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
Access Clarity scores 17.1 — up to +16.6 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/eyva/apis.yml: open an issue on github.com/api-evangelist/eyva 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
Surveys, Market Research and Experience Management	undeclared	-	-	-

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.

Security Posture 1

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

Eyva Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

Company 3

The organization behind the API

Blog

Blog

Website

Website

LinkedIn

Other 1

Properties that don't map to a standard resource type

Imprint

Imprint

Source (apis.yml)

aid: eyva
name: Eyva
description: Eyva (operated by datazeit GmbH of Cologne, Germany) is an AI-powered portfolio-intelligence platform for the
  beauty and personal-care industry. It unifies consumer, market, and product data so product, marketing, and R&D teams can
  detect emerging consumer trends across Google search, TikTok, Instagram, and product reviews, benchmark their portfolio,
  run gap and competitive analysis, track ingredients and claims, and develop AI-assisted product concepts. The platform bundles
  an AI research assistant, automated AI reporting, and data-backed product recommendations, and is used by 700+ teams at
  brands including Beiersdorf, Nivea, dm, BASF, Babor, and Lavera. Eyva is a portfolio company of Earlybird Venture Capital.
  It is a B2B SaaS delivered through a demo-led sales motion and an authenticated web application; no public developer API
  surface is currently published.
url: https://raw.githubusercontent.com/api-evangelist/eyva/refs/heads/main/apis.yml
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: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://images.prismic.io/evya/aLx0P2GNHVfTOu6b_Feb212025Screenshot.webp?auto=format,compress&w=1200&h=630
x-type: company
x-source: vc-portfolio
x-backed-by:
- earlybird
x-tier: stub
x-tier-reason: portfolio-lead
x-legal-entity: datazeit GmbH
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Beauty
- Personal Care
- Consumer Insights
- Market Intelligence
- Artificial Intelligence
- Product Development
- Trend Detection
- Software-as-a-Service
- Analytics
tags_raw:
- Company
- Beauty
- Personal Care
- Consumer Insights
- Market Intelligence
- Artificial Intelligence
- Product Development
- Trend Detection
- SaaS
- Analytics
apis: []
common:
- url: https://www.eyva.ai/en/blog
  type: Blog
- type: Website
  url: https://www.eyva.ai/en
- type: Login
  url: https://app.eyva.ai
- type: TermsOfService
  url: https://www.eyva.ai/terms-of-service
- type: Imprint
  url: https://www.eyva.ai/en/imprint
- type: LinkedIn
  url: https://de.linkedin.com/company/eyva-ai
- type: DomainSecurity
  url: security/eyva-domain-security.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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get_provider_ratingPRO — composite, band, trend and facet scores.
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