Adentro

Adentro (formerly Zenreach) is a WiFi marketing and customer-intelligence platform that connects online marketing spend to real-world, in-store visits for brick-and-mortar businesses. Branded guest-WiFi portals capture and enrich first-party customer profiles, measure foot traffic and a "Walk-Through Rate" attribution metric, and power automated email and audience-targeting campaigns across roughly 100 million verified US consumer profiles. Adentro serves retail, food and beverage, venues and arenas, and entertainment and hospitality brands. It exposes a partner/customer-gated Contacts API and a Location & Scanning API (V2/V3) for syncing captured contacts, visits, and location data into CRMs and loyalty platforms such as Fishbowl and Alpine IQ; access is granted via an Adentro-issued token passed in the Authorization header rather than through a public self-serve developer portal.

Adentro is profiled on the APIs.io network. Tagged areas include Company, Ai Apps, WiFi Marketing, Customer Intelligence, and Location Analytics.

Adentro’s developer surface includes support, documentation, pricing, authentication, and 5 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

12.1/100 emerging ▬ flat Agent 3/100 human only Front door AI 1/6 silent saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Ai Apps WiFi Marketing Customer Intelligence Location Analytics Retail Marketing Attribution Guest WiFi

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 12.1/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 3.2 / 17

Access Clarity 2.9 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 2.4 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 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 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
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

12 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
Access Clarity scores 17.1 — up to +16.6 composite points
Developer Ergonomics scores 19.0 — up to +16.2 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/adentro/apis.yml: open an issue on github.com/api-evangelist/adentro 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Data Marketplaces (data providers on cloud data platforms)	builds-on	44.1	-	-
Cisco DevNet Ecosystem (builders on Meraki, Catalyst, ISE, ThousandEyes, Splunk)	builds-on	44.1	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Security Posture 2

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

Adentro Authentication

http · 1 scheme

SECURITY

Adentro Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: adentro
name: Adentro
description: Adentro (formerly Zenreach) is a WiFi marketing and customer-intelligence platform that connects online marketing
  spend to real-world, in-store visits for brick-and-mortar businesses. Branded guest-WiFi portals capture and enrich first-party
  customer profiles, measure foot traffic and a "Walk-Through Rate" attribution metric, and power automated email and audience-targeting
  campaigns across roughly 100 million verified US consumer profiles. Adentro serves retail, food and beverage, venues and
  arenas, and entertainment and hospitality brands. It exposes a partner/customer-gated Contacts API and a Location & Scanning
  API (V2/V3) for syncing captured contacts, visits, and location data into CRMs and loyalty platforms such as Fishbowl and
  Alpine IQ; access is granted via an Adentro-issued token passed in the Authorization header rather than through a public
  self-serve developer portal.
url: https://raw.githubusercontent.com/api-evangelist/adentro/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bain-capital-ventures
- uncork-capital
x-tier: stub
x-tier-reason: portfolio-lead
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:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
image: https://adentro.com/wp-content/uploads/2024/06/adentro-logo.png
tags:
- Company
- Ai Apps
- WiFi Marketing
- Customer Intelligence
- Location Analytics
- Retail
- Marketing Attribution
- Guest WiFi
apis: []
common:
- type: DomainSecurity
  url: security/adentro-domain-security.yml
- type: Website
  url: https://adentro.com/
- type: Support
  url: https://support.adentro.com/s/
- type: Documentation
  url: https://support.adentro.com/s/
- type: Pricing
  url: https://adentro.com/pricing/
- type: Login
  url: https://my.zenreach.com/
- type: PrivacyPolicy
  url: https://adentro.com/privacy/
- type: TermsOfService
  url: https://adentro.com/terms/
- type: Authentication
  url: authentication/adentro-authentication.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Adentro API — frequently asked questions

How do I authenticate with the Adentro API?

Adentro uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Adentro Authentication.

Is the Adentro API ready for AI agents?

Adentro has a Kin Score of 12.1 out of 100 (emerging) and an Agent Readiness score of 2.5 (human-only), scored by API Evangelist on 2026-11-06.

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Tools for providers

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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.

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