# Digital Mortar

**Canonical:** https://apis.io/providers/digital-mortar/  
**Website:** https://digitalmortar.com  
**APIs profiled:** 0

Digital Mortar is an in-store and physical-location people-journey analytics company. Its DM1 platform measures shopper and visitor journeys - path, queue, occupancy, throughput, dwell and space utilization - using LiDAR and stereoscopic-camera sensors, delivering heat mapping, funnel analysis, real-time queue and occupancy tracking, display and merchandising measurement, and door/people counting as a SaaS analytics tool. It serves retail, airports, malls, stadiums and events. Digital Mortar is now part of PMY Group; its digitalmortar.com domain is dormant (mail-only, no live website) and it exposes no public developer or API program.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Digital Mortar Domain Security** — DMARC

## Tags

Company, Retail Analytics, Location Analytics, People Counting, Queue Management, Occupancy Analytics, Computer-Vision, Shopper Journey, Physical Retail, Software-as-a-Service

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/digital-mortar/). Scores are computed from the provider's own public artifacts under a published rubric.