# Chaparral Software

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

Chaparral Software provides independent AI consulting and technical due diligence, leveraging 40 years of experience building production systems. They offer AI project audits, vendor assessments, and diagnostics to help leaders navigate AI decisions effectively.

## Kin Score — 6.4 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 65.0 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 5.3 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 7.3 (matched via fallback).

## Agent readiness — 3.5 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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).

## APIs (1)

- **Chaparral Software MCP** — Chaparral Software MCP server — independent AI consulting, dispatches, and technical notes.

## MCP servers (1)

- **Chaparral Software MCP Server** — Remote MCP server at chapsoft.com.

## Security (1)

- **Chapsoft Com Domain Security** — TLSv1.3

## Tags

Artificial Intelligence, Consulting, Diagnostics, Technology, Independent, Company

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