AgentRender

AgentRender provides a read‑only remote MCP (Multi‑Channel Platform) that captures, screenshots, PDFs and extracts structured data from public webpages. Integrated with ChatGPT, it lets users embed visual QA, competitive analysis, and research briefs directly in AI workflows. The service offers free tier limits, paid plans via Stripe, and open‑source client libraries for Python and other environments. It emphasizes privacy, with no logging of user data, and includes public API documentation and SDKs.

AgentRender publishes 3 API contracts indexed on the APIs.io network, including Corpus API, Deployment API, and 1 more. Tagged areas include Artificial Intelligence, Automation, Screenshots, PDF, and Data Extraction.

The AgentRender catalog on APIs.io includes 1 Spectral governance ruleset.

AgentRender’s developer surface includes documentation, pricing, and 14 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

25.7/100 emerging ▼ -5.0 Agent 23/100 agent aware Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 published contract

Artificial Intelligence Automation Screenshots PDF Data Extraction ChatGPT

Kin Score

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

Composite quality — 25.7/100 · emerging

Contract Quality 9.5 / 21

Developer Ergonomics 1.9 / 17

Access Clarity 2.7 / 17

Operational Transparency 0.3 / 11

Contract Governance 2.0 / 10

Discoverability 5.6 / 9

Regulatory Posture 2.0 / 15

Agent readiness — 23/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 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 5 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 0 / 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):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
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)
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)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

9 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Developer Ergonomics scores 11.2 — up to +17.8 composite points
Access Clarity scores 15.8 — up to +16.8 composite points
Contract Quality scores 44.7 — up to +13.8 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/agentrenderapi-com/apis.yml: open an issue on github.com/api-evangelist/agentrenderapi-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 3

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.

PDF

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

OpenAPI

measured — observed by APIs.io (published)

APIs 3

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

AgentRender API

Agent-native URL rendering API for screenshots, PDFs, and data extraction.

AgentRender Corpus API

The knowledge itself: objects, their index and the evidence behind them.

AgentRender Deployment API

What this deployment is and what it serves: manifests, versions, this document.

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

AgentRender API Rules

12 rules · 11 errors 1 info

SPECTRAL

Security Posture 1

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

Agentrenderapi Com Domain Security

TLSv1.3

SECURITY

Agentic Access 1

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

Agentrenderapi Com Agentic Access

10 operations

10 operations · 0 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

AgentSkill

AgentSkill

WellKnown

WellKnown

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Spectral

Vocabulary

ErrorCatalog

Conformance

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

Pricing

Pricing

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: agentrenderapi-com
name: AgentRender
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://agentrenderapi.com/og-image.png
description: AgentRender provides a read‑only remote MCP (Multi‑Channel Platform) that captures, screenshots, PDFs and extracts
  structured data from public webpages. Integrated with ChatGPT, it lets users embed visual QA, competitive analysis, and
  research briefs directly in AI workflows. The service offers free tier limits, paid plans via Stripe, and open‑source client
  libraries for Python and other environments. It emphasizes privacy, with no logging of user data, and includes public API
  documentation and SDKs.
url: https://artifacts.apis.io/agentrenderapi-com/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-01 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-01'
modified: '2026-11-01'
tags:
- Artificial Intelligence
- Automation
- Screenshots
- PDF
- Data Extraction
- ChatGPT
tags_raw:
- AI
- Automation
- Screenshot
- PDF
- Data Extraction
- ChatGPT
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: AgenticAccess
  url: agentic-access/agentrenderapi-com-agentic-access.yml
- type: Spectral
  url: rules/agentrenderapi-com-rules.yml
- type: Vocabulary
  url: vocabulary/agentrenderapi-com-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: ErrorCatalog
  url: errors/agentrenderapi-com-problem-types.yml
- type: Conformance
  url: conformance/agentrenderapi-com-conformance.yml
- type: WellKnown
  url: well-known/agentrenderapi-com-well-known.yml
- type: Hosts
  url: hosts/agentrenderapi-com-hosts.yml
- type: Vendors
  url: vendors/agentrenderapi-com-vendors.yml
- type: DomainSecurity
  url: security/agentrenderapi-com-domain-security.yml
- type: Website
  url: https://agentrenderapi.com/
- type: Documentation
  url: https://api.agentrenderapi.com/docs
- type: Pricing
  url: https://agentrenderapi.com/pricing
- type: PrivacyPolicy
  url: https://agentrenderapi.com/privacy
- type: TermsOfService
  url: https://agentrenderapi.com/terms
- type: GitHubOrganization
  url: https://github.com/corbinvachal48/agentrender-mcp
apis:
- name: AgentRender API
  description: Agent-native URL rendering API for screenshots, PDFs, and data extraction.
  humanURL: https://api.agentrenderapi.com/docs
  baseURL: https://api.agentrenderapi.com
  aid: agentrenderapi-com:agentrender-api
- aid: agentrenderapi-com:agentrenderapi-com-corpus-api
  name: AgentRender Corpus API
  description: 'The knowledge itself: objects, their index and the evidence behind them.'
  humanURL: https://api.agentrenderapi.com/docs
  baseURL: https://agentreliability.dev
  tags:
  - Corpus
  properties:
  - type: OpenAPI
    url: openapi/agentrenderapi-com-corpus-api-openapi.yml
- aid: agentrenderapi-com:agentrenderapi-com-deployment-api
  name: AgentRender Deployment API
  description: 'What this deployment is and what it serves: manifests, versions, this document.'
  humanURL: https://api.agentrenderapi.com/docs
  baseURL: https://agentreliability.dev
  tags:
  - Deployment
  properties:
  - type: OpenAPI
    url: openapi/agentrenderapi-com-deployment-api-openapi.yml
x-enrichment:
  date: '2026-11-01'
  status: enriched
  artifacts_added: 16
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

AgentRender API — frequently asked questions

Does AgentRender have an API?

Yes. APIs.io lists 3 APIs from AgentRender, including AgentRender API, AgentRender Corpus API and AgentRender Deployment API.

Is there an OpenAPI specification for the AgentRender API?

Yes. APIs.io indexes 2 OpenAPI specifications for AgentRender, each linked for download from this page.

Is the AgentRender API ready for AI agents?

AgentRender has a Kin Score of 25.7 out of 100 (emerging) and an Agent Readiness score of 23.1 (agent-aware), scored by API Evangelist on 2026-11-06.

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