Data Engineer Professional

Data Engineer Professional provides a platform for data engineering guides, books, and resources. It focuses on analytics, AI, and the myriad sub‑specialties of data pipelines, offering tutorials, curated content, and community support for building robust data platforms.

Data Engineer Professional is listed with 2 APIs on the APIs.io network. Tagged areas include Data Engineering, Guides, Books, Community, and Analytics.

The Data Engineer Professional catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Data Engineer Professional’s developer surface includes documentation, API reference, support, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

25.6/100 emerging Agent 20/100 agent aware Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

2 APIs 1 MCP Servers

Data Engineering Guides Books Community Analytics

Kin Score

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

Composite quality — 25.6/100 · emerging

Contract Quality 3.7 / 21

Developer Ergonomics 4.7 / 17

Access Clarity 5.8 / 17

Operational Transparency 0.0 / 11

Contract Governance 2.2 / 10

Discoverability 4.8 / 9

Regulatory Posture 2.8 / 15

Agent readiness — 20/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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 5 / 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):

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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

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 17.4 — up to +20.7 composite points
Developer Ergonomics scores 27.9 — up to +14.4 composite points
Access Clarity scores 34.2 — up to +13.2 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/dataengineerprofessional-com/apis.yml: open an issue on github.com/api-evangelist/dataengineerprofessional-com 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.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

APIs 2

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

Guide Registry API

Read‑only guide registry providing metadata about guides, books and knowledge‑skill‑area objects. Documentation at https://dataengineerprofessional.com/guides.

Data Engineer Professional API

Data Engineer Professional API as documented publicly: 1 operations. Contract generated from the documentation by API Evangelist (2026-11-05); not the provider's own document.

MCP Servers 1

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

Data Engineer Professional MCP Server

Remote MCP server at dataengineerprofessional.com.

MCP SERVER

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Dataengineerprofessional Com Context

1 classes · 0 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Data Engineer Professional API Rules

37 rules · 35 errors 1 warnings 1 info

SPECTRAL

JSON Schema 1

Standalone JSON Schema definitions for this provider's data models.

GetApiV1GuidesResponse

3 properties

JSON SCHEMA

Security Posture 1

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

Dataengineerprofessional Com Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

LLMsTxt

LLMsTxt

MCPServer

MCPServer

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

Conformance

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: dataengineerprofessional-com
name: Data Engineer Professional
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - security
  generated: '2026-11-06'
  method: derived
image: https://dataengineerprofessional.com/opengraph-image-1oy18k?29435694197f5727
description: Data Engineer Professional provides a platform for data engineering guides, books, and resources. It focuses
  on analytics, AI, and the myriad sub‑specialties of data pipelines, offering tutorials, curated content, and community support
  for building robust data platforms.
url: https://artifacts.apis.io/dataengineerprofessional-com/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-05 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-04'
modified: '2026-11-04'
tags:
- Data Engineering
- Guides
- Books
- Community
- Analytics
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/dataengineerprofessional-com-rules.yml
- type: JSONLD
  url: json-ld/dataengineerprofessional-com-context.jsonld
- type: Vocabulary
  url: vocabulary/dataengineerprofessional-com-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/dataengineerprofessional-com-data-model.yml
- type: Conformance
  url: conformance/dataengineerprofessional-com-conformance.yml
- type: LLMsTxt
  url: llms/dataengineerprofessional-com-llms.txt
- type: MCPServer
  url: mcp/dataengineerprofessional-com-mcp.yml
- type: Hosts
  url: hosts/dataengineerprofessional-com-hosts.yml
- type: Vendors
  url: vendors/dataengineerprofessional-com-vendors.yml
- type: DomainSecurity
  url: security/dataengineerprofessional-com-domain-security.yml
- type: Website
  url: https://dataengineerprofessional.com/
- type: Documentation
  url: https://dataengineerprofessional.com/guides
- type: APIReference
  url: https://dataengineerprofessional.com/openapi.json
- type: Login
  url: https://dataengineerprofessional.com/account?next=%2F
- type: PrivacyPolicy
  url: https://dataengineerprofessional.com/privacy
- type: TermsOfService
  url: https://dataengineerprofessional.com/terms
- type: Support
  url: https://dataengineerprofessional.com/help
apis:
- name: Guide Registry API
  description: Read‑only guide registry providing metadata about guides, books and knowledge‑skill‑area objects. Documentation
    at https://dataengineerprofessional.com/guides.
  humanURL: https://dataengineerprofessional.com/guides
  baseURL: null
  properties: []
  aid: dataengineerprofessional-com:guide-registry-api
- aid: dataengineerprofessional-com:dataengineerprofessional-com-api
  name: Data Engineer Professional API
  description: 'Data Engineer Professional API as documented publicly: 1 operations. Contract generated from the documentation
    by API Evangelist

    (2026-11-05); not the provider''s own document.'
  humanURL: https://dataengineerprofessional.com/openapi.json
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/dataengineerprofessional-com-openapi-generated.yml
    x-provenance: generated
  - type: JSONSchema
    url: json-schema/dataengineerprofessional-com-get-api-v1-guides-response-schema.json
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: OpenAPI spec at https://dataengineerprofessional.com/openapi.json describes a different service (bicycle.guide)
    and thus is not owned.
  evidence:
  - url: https://dataengineerprofessional.com/openapi.json
    status: 200
  checked: '2026-11-05'
x-enrichment:
  date: '2026-11-05'
  status: enriched
  artifacts_added: 19
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Data Engineer Professional API — frequently asked questions

Does Data Engineer Professional have an API?

Yes. APIs.io lists 2 APIs from Data Engineer Professional, including Guide Registry API and Data Engineer Professional API.

Is there an OpenAPI specification for the Data Engineer Professional API?

Yes. APIs.io indexes 1 OpenAPI specification for Data Engineer Professional, each linked for download from this page.

Does Data Engineer Professional have an MCP server?

Yes. APIs.io lists 1 MCP server for Data Engineer Professional: Remote MCP server at dataengineerprofessional.com.

Is the Data Engineer Professional API ready for AI agents?

Data Engineer Professional has a Kin Score of 25.6 out of 100 (emerging) and an Agent Readiness score of 19.6 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

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Tools for providers

9 MCP tools reach this

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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