Zeroclick

ZeroClick is the agent-first storefront and transaction layer that lets businesses sell directly to AI agents. It turns any existing API or offering into an agent-purchasable service, publishing a machine-readable storefront so agents can discover it and adding agent identity, agent-native payment rails (x402 and MPP, the Machine Payments Protocol), signed proxying, and per-transaction analytics in front of the seller's unchanged upstream API. Sellers keep their product, pricing, and customer experience, add a small guard to billed endpoints via the @zeroclickai/sellers SDK, and settle revenue to their own connected Stripe account. ZeroClick launched in July 2026, raised $55M, is backed by Forerunner Ventures, and is a product of the People's Internet Experiment.

Zeroclick is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Agentic Commerce, Agentic Payments, and API Monetization.

Zeroclick’s developer surface includes engineering blog, documentation, API reference, authentication, and 16 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

20.4/100 emerging ▬ flat Agent 17/100 agent aware Front door AI 6/6 dominant Heartbeat 100/100 alive Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

Company Artificial Intelligence Agentic Commerce Agentic Payments API Monetization x402Machine Payments ProtocolAgent Identity Stripe

Kin Score

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

Composite quality — 20.4/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 6.5 / 17

Access Clarity 3.6 / 17

Operational Transparency 0.3 / 11

Contract Governance 1.9 / 10

Discoverability 5.0 / 9

Regulatory Posture 3.1 / 15

Agent readiness — 17/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 9

Stable Error Semantics 8 / 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 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 Payments 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
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

9 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
Access Clarity scores 21.1 — up to +15.8 composite points
Operational Transparency scores 2.6 — up to +12.7 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/zeroclick/apis.yml: open an issue on github.com/api-evangelist/zeroclick 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
x402 Micropayments & Agentic Pay-per-Call	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 2

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.

x402

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

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

MCP Servers 1

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

Zeroclick MCP Server

Remote MCP server at mcp.zeroclick.ai over HTTP.

MCP SERVER

Security Posture 2

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

Zeroclick Authentication

2 schemes

SECURITY

Zeroclick Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Conventions

Idempotency

ErrorCatalog

Conformance

DataModel

Lifecycle

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

SourceCode

Packages

SDKs

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Blog

Blog

Website

Website

Source (apis.yml)

aid: zeroclick
deliveryModel:
  model: unknown
  open_source: unknown
  commercial: true
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - pricing
  - repository-unlicensed
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/zeroclick.png
name: Zeroclick
description: ZeroClick is the agent-first storefront and transaction layer that lets businesses sell directly to AI agents.
  It turns any existing API or offering into an agent-purchasable service, publishing a machine-readable storefront so agents
  can discover it and adding agent identity, agent-native payment rails (x402 and MPP, the Machine Payments Protocol), signed
  proxying, and per-transaction analytics in front of the seller's unchanged upstream API. Sellers keep their product, pricing,
  and customer experience, add a small guard to billed endpoints via the @zeroclickai/sellers SDK, and settle revenue to their
  own connected Stripe account. ZeroClick launched in July 2026, raised $55M, is backed by Forerunner Ventures, and is a product
  of the People's Internet Experiment.
url: https://raw.githubusercontent.com/api-evangelist/zeroclick/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- forerunner-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Artificial Intelligence
- Agentic Commerce
- Agentic Payments
- API Monetization
- x402
- Machine Payments Protocol
- Agent Identity
- Stripe
tags_raw:
- Company
- Ai
- Agent Commerce
- Agentic Payments
- API Monetization
- x402
- Machine Payments Protocol
- Agent Identity
- Stripe
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- url: https://zeroclick.ai/blog
  type: Blog
- type: Website
  url: https://zeroclick.ai
- type: Documentation
  url: https://zeroclick.ai/docs
- type: APIReference
  url: https://zeroclick.ai/docs
- type: TermsOfService
  url: https://zeroclick.ai/terms-of-service
- type: PrivacyPolicy
  url: https://zeroclick.ai/privacy-policy
- type: GitHubOrganization
  url: https://github.com/piedotorg
- type: SourceCode
  url: https://github.com/piedotorg/zeroclick
- type: Packages
  url: packages/zeroclick-packages.yml
- type: SDKs
  url: packages/zeroclick-packages.yml
- type: Authentication
  url: authentication/zeroclick-authentication.yml
- type: Conventions
  url: conventions/zeroclick-conventions.yml
- type: Idempotency
  url: conventions/zeroclick-conventions.yml
- type: ErrorCatalog
  url: errors/zeroclick-problem-types.yml
- type: Conformance
  url: conformance/zeroclick-conformance.yml
- type: DataModel
  url: data-model/zeroclick-data-model.yml
- type: Lifecycle
  url: lifecycle/zeroclick-lifecycle.yml
- type: DomainSecurity
  url: security/zeroclick-domain-security.yml
- type: WellKnown
  url: well-known/zeroclick-well-known.yml
- type: LLMsTxt
  url: llms/zeroclick-llms.txt
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 10
  pass: local-v1

Zeroclick API — frequently asked questions

How do I authenticate with the Zeroclick API?

Zeroclick uses bearer-token authentication (2 schemes). The details are profiled on APIs.io as Zeroclick Authentication.

Does Zeroclick have an MCP server?

Yes. APIs.io lists 1 MCP server for Zeroclick: Remote MCP server at mcp.zeroclick.ai over HTTP.

Is the Zeroclick API ready for AI agents?

Zeroclick has a Kin Score of 20.4 out of 100 (emerging) and an Agent Readiness score of 17.3 (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

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

https://apis.io/mcp

Tools for providers

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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.
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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