InnerSpace website screenshot

InnerSpace

InnerSpace (InnerSpace Technologies Inc.) is a workplace analytics company that measures how physical space is used by leveraging a building's existing Wi-Fi infrastructure rather than dedicated occupancy sensors. Its patented Predictive Hyperbolic Location Fingerprinting (PHLF) technology locates and counts people to within roughly four feet to reveal occupancy, movement, and space-utilization patterns across sites, buildings, floors, and zones. The InnerSpace platform serves hybrid-workplace management, real-estate portfolio optimization, higher-education, and employee-experience use cases for enterprises including Microsoft, KPMG, Indeed, and LinkedIn. A GraphQL API (v2) at api.innerspace.io exposes building, zone, site, floor, group, and insights data to customers with active contracts, authenticated via an OAuth 2.0 client-credentials exchange that returns a session token.

InnerSpace publishes 1 API on the APIs.io network. Tagged areas include Company, Workplace Analytics, Occupancy, Space Utilization, and Real Estate.

InnerSpace’s developer surface includes documentation, API reference, getting-started guide, authentication, engineering blog, pricing, support, and 18 more developer resources.

33.3/100 thin ▬ flat Agent 29/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
1 APIs 1 MCP Servers
CompanyWorkplace AnalyticsOccupancySpace UtilizationReal EstateWi-Fi LocationBuilding InsightsGraphQLHybrid WorkplacePropTech

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 33.3/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 12.2 / 20
Commercial Clarity 9.5 / 20
Operational Transparency 2.4 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 29/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/innerspace: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

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

InnerSpace API v2

GraphQL API exposing occupancy and space-utilization insights across sites, buildings, floors, zones, and groups. Available to customers with an active contract; authenticated w...

MCP Servers 1

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

innerspace-mcp.yml

MCP SERVER

Security Posture 4

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

Innerspace Authentication

oauth2 · 2 schemes

SECURITY

Innerspace Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Innerspace Vulnerability Disclosure

contact published

SECURITY

Innerspace Trust Center

SOC 2, ISO 27001

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Access & Security 7

Authentication, authorization, and security posture

Scroll for all 7

Operate 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: innerspace
name: InnerSpace
description: InnerSpace (InnerSpace Technologies Inc.) is a workplace analytics company that measures how physical space is
  used by leveraging a building's existing Wi-Fi infrastructure rather than dedicated occupancy sensors. Its patented Predictive
  Hyperbolic Location Fingerprinting (PHLF) technology locates and counts people to within roughly four feet to reveal occupancy,
  movement, and space-utilization patterns across sites, buildings, floors, and zones. The InnerSpace platform serves hybrid-workplace
  management, real-estate portfolio optimization, higher-education, and employee-experience use cases for enterprises including
  Microsoft, KPMG, Indeed, and LinkedIn. A GraphQL API (v2) at api.innerspace.io exposes building, zone, site, floor, group,
  and insights data to customers with active contracts, authenticated via an OAuth 2.0 client-credentials exchange that returns
  a session token.
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://innerspace.io/hubfs/favicon.ico
url: https://raw.githubusercontent.com/api-evangelist/innerspace/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Workplace Analytics
- Occupancy
- Space Utilization
- Real Estate
- Wi-Fi Location
- Building Insights
- GraphQL
- Hybrid Workplace
- PropTech
apis:
- name: InnerSpace API v2
  description: GraphQL API exposing occupancy and space-utilization insights across sites, buildings, floors, zones, and groups.
    Available to customers with an active contract; authenticated with OAuth 2.0 client credentials that return a session
    token supplied as the X-Session-Id header.
  humanURL: https://developers.innerspace.io/
  baseURL: https://api.innerspace.io/v2/api
  tags:
  - GraphQL
  - Occupancy
  - Building Insights
  - Space Utilization
  properties:
  - type: Documentation
    url: https://developers.innerspace.io/
  - type: APIReference
    url: https://developers.innerspace.io/api-reference-v2
  - type: GettingStarted
    url: https://developers.innerspace.io/master
  - type: Authentication
    url: https://developers.innerspace.io/authentication-v2
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://innerspace.io
- type: DeveloperPortal
  url: https://developers.innerspace.io/
- type: Documentation
  url: https://developers.innerspace.io/
- type: APIReference
  url: https://developers.innerspace.io/api-reference-v2
- type: GettingStarted
  url: https://developers.innerspace.io/master
- type: Authentication
  url: authentication/innerspace-authentication.yml
- type: Blog
  url: https://blog.innerspace.io
- type: Pricing
  url: https://innerspace.io/pricing
- type: Support
  url: https://innerspace.io/contact
- type: TermsOfService
  url: https://www.innerspace.io/terms
- type: PrivacyPolicy
  url: https://innerspace.io/privacy
- type: TrustCenter
  url: https://innerspace.io/trust
- type: Compliance
  url: https://innerspace.io/trust
- type: Security
  url: https://www.innerspace.io/responsible-disclosure-policy
- type: VulnerabilityDisclosure
  url: security/innerspace-vulnerability-disclosure.yml
- type: LLMsTxt
  url: llms/innerspace-llms.txt
- type: Conventions
  url: conventions/innerspace-conventions.yml
- type: ErrorCatalog
  url: errors/innerspace-problem-types.yml
- type: Lifecycle
  url: lifecycle/innerspace-lifecycle.yml
- type: Deprecation
  url: lifecycle/innerspace-lifecycle.yml
- type: Conformance
  url: conformance/innerspace-conformance.yml
- type: DataModel
  url: data-model/innerspace-data-model.yml
- type: DomainSecurity
  url: security/innerspace-domain-security.yml
- type: TrustCenter
  url: security/innerspace-trust-center.yml
- type: MCPServer
  url: mcp/innerspace-mcp.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence