# kariops

**Canonical:** https://apis.io/providers/kariops-com/  
**Website:** https://kariops.com/  
**APIs profiled:** 1

Kariops is a Portland‑based AI Operations Architect offering fractional AI consulting and implementation services for small businesses. Founder Kari Doherty provides strategic guidance, tool selection, and end‑to‑end AI build sprints, helping clients scope projects from $5K and deliver solutions ranging $30K‑$100K. The company focuses on practical AI integration, automation, and operational efficiency for local enterprises.

## Kin Score — 7.7 / 100 (minimal)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 46.4 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 17.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 12.7 (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

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

## APIs (1)

- **Kariops API** — API reference for Kariops services

## Security (1)

- **kariops Domain Security** — TLSv1.3 · HSTS

## Tags

Artificial Intelligence, Consulting, Portland, Small Business

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