# Cold Call Coach

**Canonical:** https://apis.io/providers/coldcall-coach/  
**Website:** https://coldcall.coach/  
**APIs profiled:** 1

Cold Call Coach provides AI-powered sales roleplay and coaching platform that helps salespeople build phone confidence through realistic practice calls, automatic grading, and measurable results. The service offers scalable training, custom scorecards, and tools to ramp new hires and protect pipelines.

## Kin Score — 23.4 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 15.8 |
| Developer Ergonomics | 14.3 |
| Access Clarity | 65.8 |

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).

## APIs (1)

- **Cold Call Coach API** — Try Cold Call Coach for free. 30 minutes of free practice calls with AI prospects.

## Security (1)

- **Coldcall Coach Domain Security** — TLSv1.3 · DMARC

## Plans (1)

- **Coldcall Coach Plans Pricing**

## Tags

Artificial Intelligence, Sales, Coaching, Roleplay, Training, Company

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