iLook AI Face Analysis (Wallic Technologies)

iLook AI Face Analysis, operated by Arctan Technologies Private Limited, offers a free AI-powered facial analysis service that evaluates face shape, symmetry, and a subjective 0–100 score across five signals. Users can upload a single adult photo to receive detailed feedback, including Golden Ratio context and styling suggestions. The platform provides REST, MCP, and A2A APIs for developers and AI agents, with API keys required for access. Documentation, pricing, and privacy policies are publicly available on the website.

iLook AI Face Analysis (Wallic Technologies) is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, FaceAnalysis, Image Processing, and Biometrics.

The iLook AI Face Analysis (Wallic Technologies) catalog on APIs.io includes 1 Spectral governance ruleset.

iLook AI Face Analysis (Wallic Technologies)’s developer surface includes authentication, pricing, documentation, engineering blog, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

20.8/100 emerging ▬ flat Agent 16/100 agent aware Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 API 1 MCP Servers

Company Artificial IntelligenceFaceAnalysisImage Processing Biometrics

Kin Score

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

Composite quality — 20.8/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 3.0 / 17

Access Clarity 6.3 / 17

Operational Transparency 0.0 / 11

Contract Governance 1.9 / 10

Discoverability 6.4 / 9

Regulatory Posture 2.8 / 15

Agent readiness — 16/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 10 / 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 4 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 8 / 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 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
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
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

8 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 17.9 — up to +16.4 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/ilook/apis.yml: open an issue on github.com/api-evangelist/ilook 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.

Agent2Agent

measured — observed by APIs.io (conformant)

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

APIs 1

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

iLook Face Analysis API

Subjective face‑shape, face score, Golden Ratio and focused measurement API.

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

iLook AI Face Analysis (Wallic Technologies) MCP Server

Remote MCP server at www.ilook.fit.

MCP SERVER

iLook AI Face Analysis (Wallic Technologies) API pricing

Prices published by iLook AI Face Analysis (Wallic Technologies), read 2026-10-18 from www.ilook.fit/pricing.md.

Plan	Price
Monthly Full Report Subscription	$9.9 per month
Annual Full Report Subscription	$99 per year

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Ilook Plans Pricing

2 plans

PLANS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

iLook AI Face Analysis (Wallic Technologies) API Rules

12 rules · 10 errors 1 warnings 1 info

SPECTRAL

Security Posture 2

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

Ilook Authentication

1 scheme

SECURITY

Ilook Domain Security

TLSv1.3 · HSTS

SECURITY

Agentic Access 1

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

Ilook Agentic Access

1 operation · 1 acting

1 operations · 1 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

LLMsTxt

MCPServer

WellKnown

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Spectral

Spectral

Conformance

Conformance

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 3

The organization behind the API

Newsroom

Newsroom

Website

Website

Blog

Blog

Other 3

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: ilook
name: iLook AI Face Analysis (Wallic Technologies)
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://www.ilook.fit/og.png
description: iLook AI Face Analysis, operated by Arctan Technologies Private Limited, offers a free AI-powered facial analysis
  service that evaluates face shape, symmetry, and a subjective 0–100 score across five signals. Users can upload a single
  adult photo to receive detailed feedback, including Golden Ratio context and styling suggestions. The platform provides
  REST, MCP, and A2A APIs for developers and AI agents, with API keys required for access. Documentation, pricing, and privacy
  policies are publicly available on the website.
url: https://raw.githubusercontent.com/api-evangelist/ilook/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:
- Company
- Artificial Intelligence
- FaceAnalysis
- Image Processing
- Biometrics
tags_raw:
- Company
- AI
- FaceAnalysis
- ImageProcessing
- Biometrics
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: AgenticAccess
  url: agentic-access/ilook-agentic-access.yml
- type: Plans
  url: plans/ilook-plans-pricing.yml
- type: Spectral
  url: rules/ilook-rules.yml
- type: Authentication
  url: authentication/ilook-authentication.yml
- type: Conformance
  url: conformance/ilook-conformance.yml
- type: LLMsTxt
  url: llms/ilook-llms.txt
- type: AgentCard
  url: a2a/ilook-a2a.yml
- type: MCPServer
  url: mcp/ilook-mcp.yml
- type: WellKnown
  url: well-known/ilook-well-known.yml
- type: Hosts
  url: hosts/ilook-hosts.yml
- type: Vendors
  url: vendors/ilook-vendors.yml
- type: Pricing
  url: https://www.ilook.fit/pricing.md
- type: Newsroom
  url: https://www.ilook.fit/press
- type: DomainSecurity
  url: security/ilook-domain-security.yml
- type: Website
  url: https://www.ilook.fit/
- type: Documentation
  url: https://www.ilook.fit/api/docs
- type: Blog
  url: https://www.ilook.fit/blog
- type: TermsOfService
  url: https://www.ilook.fit/terms
- type: PrivacyPolicy
  url: https://www.ilook.fit/privacy
apis:
- name: iLook Face Analysis API
  description: Subjective face‑shape, face score, Golden Ratio and focused measurement API.
  humanURL: https://www.ilook.fit/api/docs
  baseURL: https://www.ilook.fit
  aid: ilook:ilook-face-analysis-api
x-submission-notes: 'OpenAPI 3.1, llms.txt, MCP server card, A2A card all live | Kin approved listing 2026-10-17 (case-by-case:
  Face-photo analysis (biometric-adjacent personal data) despite no-ID claim; artifacts otherwise excellent)'
x-submission-probe: all named artifacts 200; real 404
x-submitted-by: harshul@ilook.fit (email, 2026-10-16)
x-enrichment:
  date: '2026-10-18'
  status: enriched
  artifacts_added: 19
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

iLook AI Face Analysis (Wallic Technologies) API — frequently asked questions

Does iLook AI Face Analysis (Wallic Technologies) have an API?

Yes. APIs.io lists 1 API from iLook AI Face Analysis (Wallic Technologies), including iLook Face Analysis API.

How do I authenticate with the iLook AI Face Analysis (Wallic Technologies) API?

iLook AI Face Analysis (Wallic Technologies) uses bearer-token authentication (1 scheme). The details are profiled on APIs.io as Ilook Authentication.

How much does the iLook AI Face Analysis (Wallic Technologies) API cost?

iLook AI Face Analysis (Wallic Technologies) publishes its prices; its Monthly Full Report Subscription plan is $9.9 per month as of 2026-10-18. APIs.io lists 2 pricing plans for iLook AI Face Analysis (Wallic Technologies), with each plan's price, limits and inclusions under Pricing on this page.

Does iLook AI Face Analysis (Wallic Technologies) have an MCP server?

Yes. APIs.io lists 1 MCP server for iLook AI Face Analysis (Wallic Technologies): Remote MCP server at www.ilook.fit.

Is the iLook AI Face Analysis (Wallic Technologies) API ready for AI agents?

iLook AI Face Analysis (Wallic Technologies) has a Kin Score of 20.8 out of 100 (emerging) and an Agent Readiness score of 16.4 (agent-aware), scored by API Evangelist on 2026-11-06.

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