Haus website screenshot

Haus

Haus is an AI-powered causal marketing measurement platform that helps enterprise brands quantify the true incrementality of their advertising spend. The platform runs on-demand geo-based incrementality experiments (treatment vs. holdout groups), causal media mix modeling (MMM) grounded in experimental data, and daily causal attribution reporting, so marketers can see which channels actually drive revenue. Haus reports running thousands of experiments annually across tens of billions of dollars in optimized ad spend for customers such as FanDuel, Intuit, Wayfair, and Coursera. Founded by former Google economists, Haus is backed by Insight Partners.

Haus is profiled on the APIs.io network. Tagged areas include Company, Marketing, Analytics, Incrementality, and Measurement.

Haus’ developer surface includes engineering blog, pricing, support, signup flow, and 10 more developer resources.

🌐 Visit website 📡 Source on GitHub
22.2/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyMarketingAnalyticsIncrementalityMeasurementAttributionMedia Mix ModelingCausal InferenceAdvertisingMarTech

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 22.2/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 1.3 / 20
Commercial Clarity 12.1 / 20
Operational Transparency 2.1 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 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
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/haus: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 2

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

Haus Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Haus Trust Center

SOC 2, ISO 27001

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Login
Login
 SignUp
SignUp

Access & Security 4

Authentication, authorization, and security posture

TrustCenter
TrustCenter
 DomainSecurity
DomainSecurity
 Compliance
Compliance
 SecurityContact
SecurityContact

Operate 2

Status, limits, changes, and where to get help

Support
Support
 StatusPage
StatusPage

Commercial 3

Pricing, plans, and the legal terms of use

Pricing
Pricing
 TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 3

The organization behind the API

Website
Website
 About
About
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: haus
name: Haus
description: Haus is an AI-powered causal marketing measurement platform that helps enterprise brands quantify the true incrementality
  of their advertising spend. The platform runs on-demand geo-based incrementality experiments (treatment vs. holdout groups),
  causal media mix modeling (MMM) grounded in experimental data, and daily causal attribution reporting, so marketers can
  see which channels actually drive revenue. Haus reports running thousands of experiments annually across tens of billions
  of dollars in optimized ad spend for customers such as FanDuel, Intuit, Wayfair, and Coursera. Founded by former Google
  economists, Haus is backed by Insight Partners.
url: https://raw.githubusercontent.com/api-evangelist/haus/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
image: https://cdn.prod.website-files.com/636c27cea6bf2a38e9eea317/698cc912d640157690a26208_og%20image%20-%20home%20-%201600.jpg
tags:
- Company
- Marketing
- Analytics
- Incrementality
- Measurement
- Attribution
- Media Mix Modeling
- Causal Inference
- Advertising
- MarTech
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: TrustCenter
  url: security/haus-trust-center.yml
- type: DomainSecurity
  url: security/haus-domain-security.yml
- type: Compliance
  url: security/haus-trust-center.yml
- type: Website
  url: https://www.haus.io/
- type: About
  url: https://www.haus.io/about
- type: Blog
  url: https://www.haus.io/blog
- type: Pricing
  url: https://www.haus.io/pricing
- type: Support
  url: https://www.haus.io/support
- type: StatusPage
  url: https://status.haus.io/
- type: Login
  url: https://app.haus.io/login
- type: SignUp
  url: https://www.haus.io/demo
- type: TermsOfService
  url: https://haus.io/legal/terms
- type: PrivacyPolicy
  url: https://haus.io/legal/privacy-policy
- type: SecurityContact
  url: mailto:security@haus.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence