Proper

Proper (proper.ai) is an AI-powered, full-service property-management accounting and bookkeeping provider serving property managers, asset managers, and real estate developers. Rather than shipping software, Proper delivers a trained accounting team supported by automation to handle accounts payable, accounts receivable, bank reconciliations, month-end close, and financial reporting, integrating with existing property-management systems such as AppFolio, Buildium, and RentManager. Founded in the property-management space in 2017, the company is backed by QED Investors, Redpoint Ventures, MetaProp, Expa, and Bling Capital. As of this enrichment pass Proper exposes no public API, developer portal, SDK, or machine-readable developer surface; this profile is maintained as a company record.

Proper is profiled on the APIs.io network. Tagged areas include Company, PropTech, Property Management, Accounting, and Bookkeeping.

Proper’s developer surface includes engineering blog and 7 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

10.4/100 minimal ▬ flat Agent 12/100 agent aware Front door AI 3/6 light saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

0 APIs 1 MCP Servers

Company PropTech Property Management Accounting Bookkeeping Real Estate Artificial Intelligence

Kin Score

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

Composite quality — 10.4/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 5.1 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.4 / 9

Regulatory Posture 1.1 / 15

Agent readiness — 12/100 · 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 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 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 2.4 — up to +19.5 composite points Ask about this →
Access Clarity scores 29.8 — up to +14.0 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/proper/apis.yml: open an issue on github.com/api-evangelist/proper 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.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

MCP Servers 1

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

Proper MCP Server

Remote MCP server at docs.proper.ai over HTTP.

MCP SERVER

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

Proper

3 quoted statements, read from Proper's own page on 2026-11-10.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

Proper

10 quoted statements, read from Proper's own page on 2026-11-10.

PRIVACY

Eligibility 1

Who may sign up and where, quoted from its own terms.

Proper

1 quoted statement, read from Proper's own page on 2026-11-10.

ELIGIBILITY

Data License 1

How its data and outputs may be reused, quoted from its own terms.

Proper

1 quoted statement, read from Proper's own page on 2026-11-10.

LICENSE

Resources

Commercial 4

Pricing, plans, and the legal terms of use

TermsOfService

PrivacyPolicy

UsageTerms

DataLicense

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

DataProcessing

DataProcessing

Eligibility

Eligibility

Source (apis.yml)

aid: proper
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/proper.png
name: Proper
description: Proper (proper.ai) is an AI-powered, full-service property-management accounting and bookkeeping provider serving
  property managers, asset managers, and real estate developers. Rather than shipping software, Proper delivers a trained
  accounting team supported by automation to handle accounts payable, accounts receivable, bank reconciliations, month-end
  close, and financial reporting, integrating with existing property-management systems such as AppFolio, Buildium, and RentManager.
  Founded in the property-management space in 2017, the company is backed by QED Investors, Redpoint Ventures, MetaProp, Expa,
  and Bling Capital. As of this enrichment pass Proper exposes no public API, developer portal, SDK, or machine-readable developer
  surface; this profile is maintained as a company record.
url: https://raw.githubusercontent.com/api-evangelist/proper/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- qed-investors
- redpoint-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- PropTech
- Property Management
- Accounting
- Bookkeeping
- Real Estate
- Artificial Intelligence
tags_raw:
- Company
- Proptech
- Property Management
- Accounting
- Bookkeeping
- Real Estate
- Artificial Intelligence
- Real-Estate
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.proper.ai/
- type: Blog
  url: https://www.proper.ai/articles
- type: TermsOfService
  url: https://www.proper.ai/terms-of-services
- type: PrivacyPolicy
  url: https://www.proper.ai/privacy-policy
- type: UsageTerms
  url: terms/proper-terms-of-service.yml
- type: DataProcessing
  url: privacy/proper-privacy-policy.yml
- type: Eligibility
  url: eligibility/proper-eligibility.yml
- type: DataLicense
  url: data-license/proper-data-license.yml
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 0
  pass: local-v1

Proper API — frequently asked questions

Does Proper have an MCP server?

Yes. APIs.io lists 1 MCP server for Proper: Remote MCP server at docs.proper.ai over HTTP.

Is the Proper API ready for AI agents?

Proper has a Kin Score of 10.4 out of 100 (minimal) and an Agent Readiness score of 12.2 (agent-aware), scored by API Evangelist on 2026-11-13.

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

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
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.

All 92 tools →

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Every operation they expose

curl "https://apis.io/api/v1/providers/proper/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/proper/evidence"

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