# HELLO PEOPLE

**Canonical:** https://apis.io/providers/hellopeople/  
**Website:** https://hellopeople.com.au/  
**APIs profiled:** 1

HELLO PEOPLE provides AI integration and automation services across Australia, offering custom software development, web and mobile app creation, low‑code solutions, and comprehensive system integration. Their portfolio includes AI development, workflow automation, and industry‑specific platforms for project controls, compliance, and online learning, serving clients in Perth, Melbourne, Sydney, and Brisbane.

## Kin Score — 13.7 / 100 (emerging)

Scored 2026-10-23 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 9.5 |
| Access Clarity | 21.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 18.2 (matched via fallback).

## 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## APIs (1)

- **Hello People API** — API documentation and integration guides for Hello People services.

## Security (2)

- **Hellopeople Domain Security** — TLSv1.3 · HSTS · DMARC
- **Hellopeople Vulnerability Disclosure** — security.txt · contact published

## Tags

Company, Artificial Intelligence, Integration, Automation, Software

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