Enrichr

Enrichr is a remote MCP server that lets AI assistants like Claude, ChatGPT, Cursor, VS Code, Windsurf or Cline see the fully rendered web page, including fonts, colors, animation timings, WebGL shaders and 3D scenes. By connecting once, the assistant can request any URL and receive detailed rendering measurements, design system data, source maps, and a rebuild brief, enabling accurate site reconstruction beyond static HTML or screenshots. The service offers a free plan and aims to bridge the gap between AI perception and actual browser behavior.

Enrichr is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Browser, Rendering, MCP, and Web.

Enrichr’s developer surface includes engineering blog, documentation, pricing, support, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

18.9/100 emerging Agent 14/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessFreemium

1 API

Artificial Intelligence Browser Rendering MCP Web

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 18.9/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 2.8 / 17

Access Clarity 8.7 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.9 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 14/100 · 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 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 5 / 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 Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →

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 0.0 — up to +25.0 composite points Ask about this →
Developer Ergonomics scores 16.7 — up to +16.7 composite points Ask about this →
Operational Transparency scores 0.0 — up to +13.0 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/enrichr-dev/apis.yml: open an issue on github.com/api-evangelist/enrichr-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 →

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.

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

APIs 1

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

Enrichr API

Enrichr provides a remote MCP server that renders web pages and returns design system data, assets, and analysis.

Enrichr API pricing

Prices published by Enrichr, read 2026-11-06 from enrichr.dev/pricing.html.

Plan	Price
Free	$0
Starter	$19/mo
Pro	$79/mo
Scale	$299/mo

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Enrichr Plans Pricing

4 plans

PLANS

Security Posture 1

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

Enrichr Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

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

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

TermsOfService

PrivacyPolicy

Pricing

Company 3

The organization behind the API

Website

Website

Blog

Blog

About

About

Other 1

Properties that don't map to a standard resource type

Hosts

Hosts

Source (apis.yml)

aid: enrichr-dev
name: Enrichr
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  probe_state: gated
  source:
  - plans
  - security
  generated: '2026-11-13'
  method: derived
image: https://enrichr.dev/video/enrichr-explainer-poster.jpg
description: Enrichr is a remote MCP server that lets AI assistants like Claude, ChatGPT, Cursor, VS Code, Windsurf or Cline
  see the fully rendered web page, including fonts, colors, animation timings, WebGL shaders and 3D scenes. By connecting
  once, the assistant can request any URL and receive detailed rendering measurements, design system data, source maps, and
  a rebuild brief, enabling accurate site reconstruction beyond static HTML or screenshots. The service offers a free plan
  and aims to bridge the gap between AI perception and actual browser behavior.
url: https://artifacts.apis.io/enrichr-dev/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-06 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-06'
modified: '2026-11-06'
tags:
- Artificial Intelligence
- Browser
- Rendering
- MCP
- Web
tags_raw:
- AI
- Browser
- Rendering
- MCP
- Web
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/enrichr-dev-plans-pricing.yml
- type: LLMsTxt
  url: llms/enrichr-dev-llms.txt
- type: WellKnown
  url: well-known/enrichr-dev-well-known.yml
- type: Hosts
  url: hosts/enrichr-dev-hosts.yml
- type: TermsOfService
  url: https://enrichr.dev/terms.html
- type: PrivacyPolicy
  url: https://enrichr.dev/privacy.html
- type: DomainSecurity
  url: security/enrichr-dev-domain-security.yml
- type: Website
  url: https://enrichr.dev/
- type: Blog
  url: https://enrichr.dev/blog/
- type: Documentation
  url: https://enrichr.dev/docs.html
- type: Pricing
  url: https://enrichr.dev/pricing.html
- type: About
  url: https://enrichr.dev/about/
- type: Support
  url: https://enrichr.dev/connect.html
apis:
- name: Enrichr API
  description: Enrichr provides a remote MCP server that renders web pages and returns design system data, assets, and analysis.
  humanURL: https://enrichr.dev/docs.html
  aid: enrichr-dev:enrichr-api
x-coverage:
  state: gated
  reason: auth-required
  detail: GraphQL endpoint requires authentication (401) and MCP endpoint is gated, no public spec found.
  evidence:
  - url: https://enrichr.dev/api/graphql
    status: 401
  checked: '2026-11-06'
x-enrichment:
  date: '2026-11-06'
  status: enriched
  artifacts_added: 12
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Enrichr API — frequently asked questions

Does Enrichr have an API?

Yes. APIs.io lists 1 API from Enrichr, including Enrichr API.

How much does the Enrichr API cost?

Enrichr publishes its prices; its Free plan is $0 as of 2026-11-06. APIs.io lists 4 pricing plans for Enrichr, with each plan's price, limits and inclusions under Pricing on this page.

Is the Enrichr API ready for AI agents?

Enrichr has a Kin Score of 18.9 out of 100 (emerging) and an Agent Readiness score of 14.4 (agent-aware), scored by API Evangelist on 2026-11-13.

Work with this as data

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

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

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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