# CrowdHum

**Canonical:** https://apis.io/providers/crowdhum-com/  
**Website:** https://crowdhum.com/  
**APIs profiled:** 0

CrowdHum provides a live audience polling platform that enables facilitators to quickly set up interactive polls using QR codes. Participants vote via their phones, with results displayed in real-time visualizations. The service requires no app installation, offers AI‑drafted questions, and delivers polished recap reports after each session. It targets meetings, workshops, conferences, and classrooms, emphasizing ease of use, instant setup, and engaging visual feedback.

## Kin Score — 9.3 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| Access Clarity | 21.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 12.7 (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 |
| MCP Tool Quality | na |

## Access

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

## Security (1)

- **Crowdhum Com Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

AudiencePolling, Live Polling, QR Codes, Artificial Intelligence, FacilitatorTools

---

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