GET4AGENT

GET4AGENT MARKET provides a trust layer for AI agent commerce, offering verified sellers, tools, APIs and services. Every paid call is governed by Regent decisions, ensuring budget caps, logging, and receipt generation. The platform enables agents to discover and purchase resources securely, with transparent pricing and compliance. It serves as a marketplace where sellers list AI-ready offerings, and agents can browse, integrate, and transact with confidence across a regulated ecosystem.

GET4AGENT is profiled on the APIs.io network. Tagged areas include Artificial Intelligence, Marketplace, Trust, Agents, and Commerce.

GET4AGENT’s developer surface includes support, pricing, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

16.6/100 emerging Agent 6/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

0 APIs 1 MCP Servers

Artificial Intelligence Marketplace Trust Agents Commerce Company

Kin Score

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

Composite quality — 16.6/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.8 / 17

Access Clarity 10.5 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 3.8 / 9

Regulatory Posture 1.1 / 15

Agent readiness — 6/100 · agent aware

Machine-Readable Contract 0 / 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 0 / 5

Well-Known Catalog 4 / 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):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
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) 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 →

11 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 4.8 — up to +19.0 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/get4agent-com/apis.yml: open an issue on github.com/api-evangelist/get4agent-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)

MCP Servers 1

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

GET4AGENT MCP Server

Remote MCP server at get4agent.com.

MCP SERVER

GET4AGENT API pricing

Prices published by GET4AGENT, read 2026-11-09 from get4agent.com/pricing.

Plan	Price
Seller listing	Listing is free — no subscription, no hidden charges
Seller commission after pilot	1.5% per transaction
Agent owner registration	Agent owners pay nothing

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

GET4AGENT Plans Pricing

3 plans

PLANS

Security Posture 1

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

GET4AGENT Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

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 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

Hosts

Hosts

Source (apis.yml)

aid: get4agent-com
name: GET4AGENT
description: GET4AGENT MARKET provides a trust layer for AI agent commerce, offering verified sellers, tools, APIs and services.
  Every paid call is governed by Regent decisions, ensuring budget caps, logging, and receipt generation. The platform enables
  agents to discover and purchase resources securely, with transparent pricing and compliance. It serves as a marketplace
  where sellers list AI-ready offerings, and agents can browse, integrate, and transact with confidence across a regulated
  ecosystem.
url: https://artifacts.apis.io/get4agent-com/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-09 (modular-v1; was harvest)
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: none
  source:
  - plans
  - security
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-11-09'
modified: '2026-11-09'
tags:
- Artificial Intelligence
- Marketplace
- Trust
- Agents
- Commerce
- Company
tags_raw:
- AI
- Marketplace
- Trust
- Agents
- Commerce
- Company
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/get4agent-com-plans-pricing.yml
- type: LLMsTxt
  url: llms/get4agent-com-llms.txt
- type: MCPServer
  url: mcp/get4agent-com-mcp.yml
- type: WellKnown
  url: well-known/get4agent-com-well-known.yml
- type: Hosts
  url: hosts/get4agent-com-hosts.yml
- type: TermsOfService
  url: https://get4agent.com/terms
- type: Support
  url: https://get4agent.com/support
- type: PrivacyPolicy
  url: https://get4agent.com/privacy
- type: Pricing
  url: https://get4agent.com/pricing
- type: Login
  url: https://get4agent.com/sign-in
- type: DomainSecurity
  url: security/get4agent-com-domain-security.yml
- type: Website
  url: https://get4agent.com/
apis: []
x-coverage:
  state: none
  reason: no-developer-program
  detail: No public API documentation or machine‑readable contract was found on the provider's hosts.
  evidence:
  - url: https://api.get4agent.com/openapi.json
    status: 0
  checked: '2026-11-09'
x-enrichment:
  date: '2026-11-09'
  status: enriched
  artifacts_added: 13
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

GET4AGENT API — frequently asked questions

How much does the GET4AGENT API cost?

GET4AGENT publishes its prices; its Seller listing plan is Listing is free — no subscription, no hidden charges as of 2026-11-09. APIs.io lists 3 pricing plans for GET4AGENT, with each plan's price, limits and inclusions under Pricing on this page.

Does GET4AGENT have an MCP server?

Yes. APIs.io lists 1 MCP server for GET4AGENT: Remote MCP server at get4agent.com.

Is the GET4AGENT API ready for AI agents?

GET4AGENT has a Kin Score of 16.6 out of 100 (emerging) and an Agent Readiness score of 6.3 (agent-aware), scored by API Evangelist on 2026-11-13.

Work with this as data

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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.
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