Cold Call Coach

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.

Cold Call Coach is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Sales, Coaching, Roleplay, and Training.

Cold Call Coach’s developer surface includes changelog, engineering blog, getting-started guide, pricing, and 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

23.4/100 emerging Agent 0/100 human only Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API

Artificial Intelligence Sales Coaching Roleplay Training Company

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 23.4/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 2.4 / 17

Access Clarity 11.2 / 17

Operational Transparency 1.7 / 11

Contract Governance 0.0 / 10

Discoverability 4.9 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 14.3 — up to +17.1 composite points
Contract Governance scores 0.0 — up to +12.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/coldcall-coach/apis.yml: open an issue on github.com/api-evangelist/coldcall-coach to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Cold Call Coach API

Try Cold Call Coach for free. 30 minutes of free practice calls with AI prospects.

Cold Call Coach API pricing

Prices published by Cold Call Coach.

Plan	Price
Pay As You Go	Pay As You Go

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Coldcall Coach Plans Pricing

1 plans

PLANS

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Coldcall Coach Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Login

GettingStarted

GettingStarted

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

ChangeLog

ChangeLog

Contact

Contact

Commercial 4

Pricing, plans, and the legal terms of use

Plans

TermsOfService

PrivacyPolicy

Pricing

Company 2

The organization behind the API

Blog

Blog

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: coldcall-coach
name: Cold Call Coach
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://coldcall.coach/images/og-image.png
description: 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.
url: https://artifacts.apis.io/coldcall-coach/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-04 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-04'
modified: '2026-11-04'
tags:
- Artificial Intelligence
- Sales
- Coaching
- Roleplay
- Training
- Company
tags_raw:
- AI
- Sales
- Coaching
- Roleplay
- Training
- Company
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/coldcall-coach-plans-pricing.yml
- type: ChangeLog
  url: changelog/coldcall-coach-changelog.yml
- type: LLMsTxt
  url: llms/coldcall-coach-llms.txt
- type: Hosts
  url: hosts/coldcall-coach-hosts.yml
- type: Vendors
  url: vendors/coldcall-coach-vendors.yml
- type: TermsOfService
  url: https://coldcall.coach/terms
- type: PrivacyPolicy
  url: https://coldcall.coach/privacy
- type: Login
  url: https://coldcall.coach/login
- type: ChangeLog
  url: https://coldcall.coach/changelog
- type: Blog
  url: https://coldcall.coach/blog
- type: GettingStarted
  url: https://coldcall.coach/use-cases/onboarding
- type: DomainSecurity
  url: security/coldcall-coach-domain-security.yml
- type: Website
  url: https://coldcall.coach/
- type: Pricing
  url: https://coldcall.coach/pricing
- type: Contact
  url: https://coldcall.coach/contact
apis:
- name: Cold Call Coach API
  description: Try Cold Call Coach for free. 30 minutes of free practice calls with AI prospects.
  humanURL: https://coldcall.coach/demo
  baseURL: null
  aid: coldcall-coach:cold-call-coach-api
x-enrichment:
  date: '2026-11-04'
  status: enriched
  artifacts_added: 11
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Cold Call Coach API — frequently asked questions

Does Cold Call Coach have an API?

Yes. APIs.io lists 1 API from Cold Call Coach, including Cold Call Coach API.

How much does the Cold Call Coach API cost?

Cold Call Coach publishes its prices; its Pay As You Go plan is Pay As You Go as of 2026-11-04. APIs.io lists 1 pricing plan for Cold Call Coach, with each plan's price, limits and inclusions under Pricing on this page.

Is the Cold Call Coach API ready for AI agents?

Cold Call Coach has a Kin Score of 23.4 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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