# CrowdOS

**Canonical:** https://apis.io/providers/crowdos-ai/  
**Website:** https://crowdos.ai/  
**APIs profiled:** 0

CrowdOS provides a population‑intelligence platform that runs synthetic focus groups of 20–1,000 census‑grounded respondents in minutes. It offers free plans, paid tiers, and enterprise options, delivering AI‑driven market research validated against Pew Research benchmarks. The service includes a developer MCP API for integration, detailed documentation, and a privacy‑focused data handling policy.

## Kin Score — 24.3 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 19.0 |
| Access Clarity | 76.3 |

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

## Agent readiness — 21.8 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | served |
| 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 | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | yes |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

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

## Security (1)

- **Crowdos Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Crowdos Ai Plans Pricing**

## Tags

Artificial Intelligence, Market Research, Synthetic Data, Focus Groups, Platform

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