Rendezvous

Rendezvous is an AI‑powered private matchmaking service that helps users find meaningful connections without public profiles or swiping. Users join a waitlist, answer introductory questions, and let AI matchmakers propose introductions. The platform emphasizes privacy, consent, and curated introductions, offering a waitlist‑based rollout across regions. It aims to reduce the friction of online dating by focusing on conversation quality and mutual agreement before contact details are exchanged.

Rendezvous is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Matchmaking, Privacy, Waitlist, and Dating.

Rendezvous’ developer surface includes pricing, documentation, getting-started guide, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

22.1/100 emerging ▬ flat Agent 9/100 agent aware Full breakdown ↓
scored 2026-11-02 · rubric v0.26.0 · Show this score on your site →

AccessPaidApproval

1 API

Artificial Intelligence Matchmaking Privacy Waitlist Dating

Kin Score

Kin Score How this is scored →
scored 2026-11-02 · rubric v0.26.0

Composite quality — 22.1/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 3.6 / 17

Access Clarity 10.3 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.6 / 9

Regulatory Posture 2.6 / 15

Agent readiness — 9/100 · 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 0 / 4

Consent & Bot Identity 0 / 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

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
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

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
Developer Ergonomics scores 21.4 — up to +15.7 composite points
Operational Transparency scores 0.0 — up to +13.0 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/agentrendezvous-app/apis.yml: open an issue on github.com/api-evangelist/agentrendezvous-app 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 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.

Agent2Agent

measured — observed by APIs.io (conformant)

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

APIs 1

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

Agent Rendezvous API

API for Rendezvous platform, documented at /for-agents

Pricing Plans 1

Published pricing tiers and plan structures.

Agentrendezvous App Plans Pricing

2 plans

PLANS

Security Posture 1

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

Agentrendezvous App Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

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 2

Authentication, authorization, and security posture

TrustCenter

TrustCenter

DomainSecurity

DomainSecurity

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Source (apis.yml)

aid: agentrendezvous-app
name: Rendezvous
description: Rendezvous is an AI‑powered private matchmaking service that helps users find meaningful connections without
  public profiles or swiping. Users join a waitlist, answer introductory questions, and let AI matchmakers propose introductions.
  The platform emphasizes privacy, consent, and curated introductions, offering a waitlist‑based rollout across regions. It
  aims to reduce the friction of online dating by focusing on conversation quality and mutual agreement before contact details
  are exchanged.
url: https://artifacts.apis.io/agentrendezvous-app/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)
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: Documentation is public but no machine‑readable OpenAPI, AsyncAPI, GraphQL, or gRPC spec was found.
  evidence:
  - url: https://agentrendezvous.app/for-agents
    status: 200
  checked: '2026-11-01'
accessModel:
  pricing: paid
  onboarding: approval
  trial: false
  try_now: false
  public: false
  label: Paid · Requires approval
  confidence: low
  probe_state: unreadable
  source:
  - plans
  - security
  generated: '2026-11-02'
  method: derived
specificationVersion: '0.20'
created: '2026-11-01'
modified: '2026-11-01'
tags:
- Artificial Intelligence
- Matchmaking
- Privacy
- Waitlist
- Dating
tags_raw:
- AI
- Matchmaking
- Privacy
- Waitlist
- Dating
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/agentrendezvous-app-plans-pricing.yml
- type: LLMsTxt
  url: llms/agentrendezvous-app-llms.txt
- type: AgentCard
  url: a2a/agentrendezvous-app-a2a.yml
- type: WellKnown
  url: well-known/agentrendezvous-app-well-known.yml
- type: Hosts
  url: hosts/agentrendezvous-app-hosts.yml
- type: TrustCenter
  url: https://agentrendezvous.app/trust
- type: DomainSecurity
  url: security/agentrendezvous-app-domain-security.yml
- type: Website
  url: https://agentrendezvous.app/
- type: Pricing
  url: https://agentrendezvous.app/pricing
- type: TermsOfService
  url: https://agentrendezvous.app/terms
- type: PrivacyPolicy
  url: https://agentrendezvous.app/privacy
- type: Documentation
  url: https://agentrendezvous.app/for-agents
- type: GettingStarted
  url: https://agentrendezvous.app/be-found
apis:
- name: Agent Rendezvous API
  description: API for Rendezvous platform, documented at /for-agents
  humanURL: https://agentrendezvous.app/for-agents
  aid: agentrendezvous-app:agent-rendezvous-api
x-enrichment:
  date: '2026-11-01'
  status: enriched
  artifacts_added: 13
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Rendezvous API — frequently asked questions

Does Rendezvous have an API?

Yes. APIs.io lists 1 API from Rendezvous, including Agent Rendezvous API.

How much does the Rendezvous API cost?

APIs.io lists 2 pricing plans for Rendezvous, with each plan's price, limits and inclusions under Pricing Plans on this page.

Is the Rendezvous API ready for AI agents?

Rendezvous has a Kin Score of 22.1 out of 100 (emerging) and an Agent Readiness score of 8.9 (agent-aware), scored by API Evangelist on 2026-11-02.

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