marian-coach

Marian Coach provides engineering leadership mentorship and career coaching services. It helps engineers and technical leaders advance their careers, increase salaries, and secure senior roles through personalized coaching, workshops, and mentorship programs. The platform offers tailored guidance for roles such as CTO, VP of Engineering, Engineering Director, Manager, Senior Engineer, and AI leadership, as well as corporate mentorship-in-residence services.

marian-coach is profiled on the APIs.io network. Tagged areas include Company, Mentorship, Engineering Leadership, Career Coaching, and Technical Coaching.

marian-coach’s developer surface includes pricing, engineering blog, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

16.6/100 emerging Agent 24/100 agent aware Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

0 APIs

Company MentorshipEngineering LeadershipCareer CoachingTechnical Coaching

Kin Score

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

Composite quality — 16.6/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 8.9 / 17

Operational Transparency 0.6 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 2.4 / 15

Agent readiness — 24/100 · 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 4 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 8 / 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
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
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

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 2.4 — up to +19.5 composite points
Operational Transparency scores 5.3 — up to +12.3 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/marian-coach/apis.yml: open an issue on github.com/api-evangelist/marian-coach 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.

Marian Coach Plans Pricing

3 plans

PLANS

Security Posture 1

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

Marian Coach Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 3

Pricing, plans, and the legal terms of use

Plans

Plans

PrivacyPolicy

PrivacyPolicy

Pricing

Pricing

Company 2

The organization behind the API

Blog

Blog

Website

Website

Other 3

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: marian-coach
name: marian-coach
image: https://www.marian.coach/_astro/portrait-laptop-smile.D82UYdFF_1BjCCq.jpg
description: Marian Coach provides engineering leadership mentorship and career coaching services. It helps engineers and
  technical leaders advance their careers, increase salaries, and secure senior roles through personalized coaching, workshops,
  and mentorship programs. The platform offers tailored guidance for roles such as CTO, VP of Engineering, Engineering Director,
  Manager, Senior Engineer, and AI leadership, as well as corporate mentorship-in-residence services.
url: https://artifacts.apis.io/marian-coach/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
- Mentorship
- Engineering Leadership
- Career Coaching
- Technical Coaching
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/marian-coach-plans-pricing.yml
- type: LLMsTxt
  url: llms/marian-coach-llms.txt
- type: AgentCard
  url: a2a/marian-coach-a2a.yml
- type: WellKnown
  url: well-known/marian-coach-well-known.yml
- type: Hosts
  url: hosts/marian-coach-hosts.yml
- type: Vendors
  url: vendors/marian-coach-vendors.yml
- type: PrivacyPolicy
  url: https://www.marian.coach/privacy-policy/
- type: Pricing
  url: https://www.marian.coach/pricing/
- type: GitHubOrganization
  url: https://github.com/marian-kamenistak
- type: Blog
  url: https://www.marian.coach/blog/
- type: DomainSecurity
  url: security/marian-coach-domain-security.yml
- type: Website
  url: https://marian.coach/
apis: []
x-coverage:
  state: none
  reason: no-developer-program
  method: derived
  generated: '2026-10-30'
  generator: derive-coverage.py (pre-flight evidence)
  detail: the company publishes no developer documentation host and no machine-readable contract on its own domain
  evidence:
  - url: https://marian.coach/
    status: 200
x-enrichment:
  date: '2026-10-30'
  status: enriched
  artifacts_added: 19
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

marian-coach API — frequently asked questions

How much does the marian-coach API cost?

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

Is the marian-coach API ready for AI agents?

marian-coach has a Kin Score of 16.6 out of 100 (emerging) and an Agent Readiness score of 23.7 (agent-aware), scored by API Evangelist on 2026-10-31.

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