Anlora

Anlora (meetanlora.com) sells an autonomous AI chatter for OnlyFans talent agencies: a managed service that runs day-to-day fan messaging on an agency's existing management platform, with optional human oversight, priced as a flat 20% revenue share on AI-generated payouts with a 7-day card-free trial and no technical integration. It publishes no REST API, SDK or developer program - its customer dashboard API under /api/ is private and session-gated - but it does publish an unusually complete agent-discovery surface on its apex host: an A2A agent card at /.well-known/agent-card.json (four public-data benchmark skills; graded flavored - no protocolVersion and the card url answers 405 to POST), an MCP manifest at /.well-known/mcp.json for a local stdio server (npx -y github:Stanglovicc/anlora-mcp, four read-only OnlyFans-agency cost-benchmark tools, MIT), an Agent Skills index with three CC-BY-4.0 SKILL.md files, an llms.txt, an RFC 9116 security.txt with a detached signature, a did:web document, a Web Bot Auth key directory and a signed claims ledger. The company describes itself as a brand operating pre-incorporation with EU (Hetzner, Nuremberg) hosting, a Better Stack status page, and public pricing, terms and privacy pages.

Anlora is profiled on the APIs.io network. Tagged areas include Creator Economy, OnlyFans, Agency Tooling, Autonomous AI, and Conversational AI.

Anlora’s developer surface includes documentation, pricing, signup flow, support, engineering blog, GitHub presence, authentication, and 30 more developer resources.

🌐 Visit website 📡 Source on GitHub
36.8/100 thin ▬ flat Agent 16/100 agent aware Front door AI 5/6 prominent Full breakdown ↓
scored 2026-10-09 · rubric v0.23.0
0 APIs 1 MCP Servers
Creator EconomyOnlyFansAgency ToolingAutonomous AIConversational AISoftware-as-a-ServiceBenchmarksCost ModelingAgentsMCPA2AAgent Skills

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-09 · rubric v0.23.0
Composite quality — 36.8/100 · thin
Contract Quality 0.0 / 21
Developer Ergonomics 6.1 / 17
Access Clarity 11.2 / 17
Operational Transparency 3.5 / 11
Contract Governance 1.9 / 10
Discoverability 4.8 / 9
Regulatory Posture 6.9 / 15
Agent readiness — 16/100 · 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 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 3 / 3
A2A Agent Card 8 / 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
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/.
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 github.com/api-evangelist/meetanlora-com: open an issue to ask a question, or submit a pull request to add artifacts. 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.

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

MCP Servers 1

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

Anlora MCP Server

Anlora publishes ONE MCP server, "anlora-agency-benchmarks", as a LOCAL stdio package: the manifest at /.well-known/mcp.json (HTTP 200, application/json, lastModified 2026-05-15...

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Meetanlora Com Plans Pricing

2 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Meetanlora Com Rate Limits

0 limits

RATE LIMITS

Security Posture 3

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

Meetanlora Com Authentication

none · 2 schemes

SECURITY

Meetanlora Com Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Meetanlora Com Vulnerability Disclosure

security.txt · contact published

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

SignUp
SignUp
 Login
Login

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 6

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt
 LLMsTxt
LLMsTxt
 MCPServer
MCPServer
 MCPServer
MCPServer
 AgentSkill
AgentSkill
 WellKnown
WellKnown

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Conformance
Conformance
 Lifecycle
Lifecycle
 Conventions
Conventions

Build 2

SDKs, sample code, and the tooling you integrate with

GitHub
GitHub
 Packages
Packages

Access & Security 6

Authentication, authorization, and security posture

SecurityTxt
SecurityTxt
 WebBotAuth
WebBotAuth
 Security
Security
 VulnerabilityDisclosure
VulnerabilityDisclosure
 DomainSecurity
DomainSecurity
 Authentication
Authentication

Operate 3

Status, limits, changes, and where to get help

Support
Support
 StatusPage
StatusPage
 RateLimits
RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

Pricing
Pricing
 TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy
 Plans
Plans

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Other 8

Properties that don't map to a standard resource type

Leadership
Leadership
 AgentCard
AgentCard
 AgentCard
AgentCard
 RegulatoryPosture
RegulatoryPosture
 Subprocessors
Subprocessors
 DataSubjectRequest
DataSubjectRequest
 DataResidency
DataResidency
 ExitAssistance
ExitAssistance

Scroll for all 8

Source (apis.yml)

apis.yml Raw ↑ 
aid: meetanlora-com
name: Anlora
description: 'Anlora (meetanlora.com) sells an autonomous AI chatter for OnlyFans talent agencies: a managed service that
  runs day-to-day fan messaging on an agency''s existing management platform, with optional human oversight, priced as a flat
  20% revenue share on AI-generated payouts with a 7-day card-free trial and no technical integration. It publishes no REST
  API, SDK or developer program - its customer dashboard API under /api/ is private and session-gated - but it does publish
  an unusually complete agent-discovery surface on its apex host: an A2A agent card at /.well-known/agent-card.json (four
  public-data benchmark skills; graded flavored - no protocolVersion and the card url answers 405 to POST), an MCP manifest
  at /.well-known/mcp.json for a local stdio server (npx -y github:Stanglovicc/anlora-mcp, four read-only OnlyFans-agency
  cost-benchmark tools, MIT), an Agent Skills index with three CC-BY-4.0 SKILL.md files, an llms.txt, an RFC 9116 security.txt
  with a detached signature, a did:web document, a Web Bot Auth key directory and a signed claims ledger. The company describes
  itself as a brand operating pre-incorporation with EU (Hetzner, Nuremberg) hosting, a Better Stack status page, and public
  pricing, terms and privacy pages.'
url: https://raw.githubusercontent.com/api-evangelist/meetanlora-com/refs/heads/main/apis.yml
image: https://meetanlora.com/images/logo.png
x-type: company
x-source: harvest:a2a-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-09-20 (local-v3; was a2a-registry harvest stub)
specificationVersion: '0.20'
created: '2026-09-19'
modified: '2026-09-20'
tags:
- Creator Economy
- OnlyFans
- Agency Tooling
- Autonomous AI
- Conversational AI
- Software-as-a-Service
- Benchmarks
- Cost Modeling
- Agents
- MCP
- A2A
- Agent Skills
tags_raw:
- Creator Economy
- OnlyFans
- Agency Tooling
- Autonomous AI
- Conversational AI
- SaaS
- Benchmarks
- Cost Modeling
- Agents
- MCP
- A2A
- Agent Skills
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://meetanlora.com/
- type: Documentation
  url: https://meetanlora.com/docs/overview
- type: Pricing
  url: https://meetanlora.com/pricing
- type: SignUp
  url: https://meetanlora.com/register
- type: Login
  url: https://meetanlora.com/login
- type: TermsOfService
  url: https://meetanlora.com/terms
- type: PrivacyPolicy
  url: https://meetanlora.com/privacy
- type: Support
  url: https://meetanlora.com/contact
- type: Blog
  url: https://meetanlora.com/blog
- type: Leadership
  url: https://meetanlora.com/docs/about
- type: StatusPage
  url: https://status.meetanlora.com/
- type: GitHub
  name: Provider repositories (Stanglovicc - the personal account the provider's own mcp.json and skills index name; there
    is no Anlora GitHub organization)
  url: https://github.com/Stanglovicc
- type: LLMsTxt
  url: llms/meetanlora-com-llms.txt
- type: LLMsTxt
  name: llms.txt (provider-hosted)
  url: https://meetanlora.com/llms.txt
- type: AgentCard
  url: a2a/meetanlora-com-a2a.yml
- type: AgentCard
  name: A2A Agent Card (provider-hosted; graded flavored)
  url: https://meetanlora.com/.well-known/agent-card.json
- type: MCPServer
  url: mcp/meetanlora-com-mcp.yml
- type: MCPServer
  name: MCP manifest (provider-hosted; local stdio server, no remote endpoint)
  url: https://meetanlora.com/.well-known/mcp.json
- type: AgentSkill
  url: skills/_index.yml
- type: WellKnown
  url: well-known/meetanlora-com-well-known.yml
- type: SecurityTxt
  url: well-known/meetanlora-com-security.txt
- type: WebBotAuth
  url: well-known/meetanlora-com-http-message-signatures-directory.json
- type: Security
  url: security/meetanlora-com-vulnerability-disclosure.yml
- type: VulnerabilityDisclosure
  url: security/meetanlora-com-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/meetanlora-com-domain-security.yml
- type: Packages
  url: packages/meetanlora-com-packages.yml
- type: Conformance
  url: conformance/meetanlora-com-conformance.yml
- type: Lifecycle
  url: lifecycle/meetanlora-com-lifecycle.yml
- type: Authentication
  url: authentication/meetanlora-com-authentication.yml
- type: Conventions
  url: conventions/meetanlora-com-conventions.yml
- type: Plans
  url: plans/meetanlora-com-plans-pricing.yml
- type: RateLimits
  url: rate-limits/meetanlora-com-rate-limits.yml
- type: RegulatoryPosture
  url: regulatory/meetanlora-com-regulatory-posture.yml
- type: Subprocessors
  url: https://meetanlora.com/privacy
- type: DataSubjectRequest
  url: https://meetanlora.com/privacy
- type: DataResidency
  url: https://meetanlora.com/privacy
- type: ExitAssistance
  url: https://meetanlora.com/terms
x-enrichment:
  date: '2026-09-20'
  status: enriched
  artifacts_added: 30
  pass: local-v3

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