Immostage AI

ImmoStage AI provides an AI‑powered virtual home staging platform for real‑estate professionals. The service automatically generates furnished room images, video fly‑throughs, and PDF listings from empty‑room photos, eliminating the need for human designers. It supports UK and European markets, complies with GDPR, and hosts its servers in Germany. Pricing starts at €29 per listing or a subscription model, with integrations for Rightmove, Zoopla, and OnTheMarket. The company, Alpine Digital Solutions Ltd, is based in London and offers tools for agents, floor‑plan creation, and virtual staging via a web portal.

Immostage AI is listed with 1 API on the APIs.io network. Tagged areas include Virtual Staging, Real Estate, AI Software, Listing Tools, and Photo Staging.

Immostage AI’s developer surface includes pricing and 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

13.3/100 emerging Agent 22/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessPaid

1 API

Virtual Staging Real EstateAI SoftwareListing ToolsPhoto Staging

Kin Score

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

Composite quality — 13.3/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 7.6 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.9 / 9

Regulatory Posture 0.9 / 15

Agent readiness — 22/100 · 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 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 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 →
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 →
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented) Ask about this →

8 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 0.0 — up to +20.0 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.

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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/immostage-ai/apis.yml: open an issue on github.com/api-evangelist/immostage-ai 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 3

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)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 1

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

ImmoStage API

API for ImmoStage AI virtual home staging platform

Immostage AI API pricing

Prices published by Immostage AI, read 2026-11-12 from www.immostage.ai/en/pricing/.

Plan	Price
Solo	€29 one-off
Starter	49 €/month
Pro	199 €/month
Agency	Contact us

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Immostage AI Plans Pricing

4 plans

PLANS

Security Posture 1

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

Immostage AI Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

Pricing

Pricing

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: immostage-ai
name: Immostage AI
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  probe_state: unreadable
  source:
  - plans
  - security
  generated: '2026-11-13'
  method: derived
image: https://www.immostage.ai/opengraph-image?bb296e1c40f6fe8d
description: ImmoStage AI provides an AI‑powered virtual home staging platform for real‑estate professionals. The service
  automatically generates furnished room images, video fly‑throughs, and PDF listings from empty‑room photos, eliminating
  the need for human designers. It supports UK and European markets, complies with GDPR, and hosts its servers in Germany.
  Pricing starts at €29 per listing or a subscription model, with integrations for Rightmove, Zoopla, and OnTheMarket. The
  company, Alpine Digital Solutions Ltd, is based in London and offers tools for agents, floor‑plan creation, and virtual
  staging via a web portal.
url: https://artifacts.apis.io/immostage-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-12 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-12'
modified: '2026-11-12'
tags:
- Virtual Staging
- Real Estate
- AI Software
- Listing Tools
- Photo Staging
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/immostage-ai-plans-pricing.yml
- type: LLMsTxt
  url: llms/immostage-ai-llms.txt
- type: WellKnown
  url: well-known/immostage-ai-well-known.yml
- type: Hosts
  url: hosts/immostage-ai-hosts.yml
- type: Vendors
  url: vendors/immostage-ai-vendors.yml
- type: Pricing
  url: https://www.immostage.ai/en/pricing/
- type: Login
  url: https://www.immostage.ai/login/
- type: DomainSecurity
  url: security/immostage-ai-domain-security.yml
- type: Website
  url: https://immostage.ai/
apis:
- name: ImmoStage API
  description: API for ImmoStage AI virtual home staging platform
  humanURL: https://www.immostage.ai/en/pricing/
  aid: immostage-ai:immostage-api
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: MCP host mcp.immostage.ai returned HTML pages for openapi.json and related paths, providing no OpenAPI spec.
  evidence:
  - url: https://mcp.immostage.ai/openapi.json
    status: 200
  checked: '2026-11-12'
x-enrichment:
  date: '2026-11-12'
  status: nochange
  artifacts_added: 0
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Immostage AI API — frequently asked questions

Does Immostage AI have an API?

Yes. APIs.io lists 1 API from Immostage AI, including ImmoStage API.

How much does the Immostage AI API cost?

Immostage AI publishes its prices; its Solo plan is €29 one-off as of 2026-11-12. APIs.io lists 4 pricing plans for Immostage AI, with each plan's price, limits and inclusions under Pricing on this page.

Is the Immostage AI API ready for AI agents?

Immostage AI has a Kin Score of 13.3 out of 100 (emerging) and an Agent Readiness score of 21.8 (agent-aware), scored by API Evangelist on 2026-11-13.

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