Regie.ai

Regie.ai is an AI-powered sales engagement platform that helps B2B sales teams scale outbound without adding headcount. Its flagship product, RegieOne, unifies AI agents with human reps to automate prospecting: lead research and enrichment, personalized multichannel messaging (email, phone, LinkedIn), AI dialing (power and parallel), dynamic lead prioritization from intent signals, sequence orchestration, and CRM integration (Salesforce, Outreach). It serves SDRs, account executives, sales leaders, and RevOps teams. Regie.ai is backed by Scale Venture Partners.

Regie.ai is profiled on the APIs.io network. Tagged areas include Company, Ai Apps, Sales Engagement, Sales AI, and Outbound.

Regie.ai’s developer surface includes documentation, support, pricing, engineering blog, signup flow, changelog, getting-started guide, and 16 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

32.8/100 thin ▬ flat Agent 9/100 agent aware Front door AI 4/6 moderate Heartbeat 46/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaidApproval

0 APIs 1 MCP Servers

Company Ai Apps Sales EngagementSales AIOutbound Prospecting Revenue Operations AI Agents

Kin Score

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

Composite quality — 32.8/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 5.7 / 17

Access Clarity 12.1 / 17

Operational Transparency 2.0 / 11

Contract Governance 1.9 / 10

Discoverability 4.4 / 9

Regulatory Posture 4.4 / 15

Agent readiness — 9/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 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
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

10 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 33.3 — up to +13.3 composite points
Operational Transparency scores 18.4 — up to +10.6 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/regieai/apis.yml: open an issue on github.com/api-evangelist/regieai 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 →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Regie.ai MCP server (probed, API-key gated)

Remote MCP server at mcp.regie.ai requiring an API key.

MCP SERVER

Regie.ai API pricing

Prices published by Regie.ai.

Plan	Price
AI SEP	$180 per user
Force Multiplier Rep	$499 per user
Enterprise	— Includes: custom AI + data credit packages

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Regieai Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Regieai Rate Limits

0 limits

RATE LIMITS

Security Posture 2

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

Regieai Authentication

4 schemes

SECURITY

Regieai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

SignUp

SignUp

Login

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Lifecycle

Lifecycle

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 3

Authentication, authorization, and security posture

Compliance

Compliance

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 4

Status, limits, changes, and where to get help

Support

ChangeLog

ChangeLog

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

Plans

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: regieai
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: approval
  trial: false
  try_now: false
  public: false
  label: Talk to sales
  confidence: high
  source:
  - https://www.regie.ai/pricing
  generated: '2026-08-14'
  method: searched
  note: List prices are published ($180 and $499 per user per month on annual contracts with seat minimums) but every tier
    routes to a "Talk to sales" form. No free tier, no trial, no self-serve signup, and no API or MCP access is offered on
    any published plan.
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/regieai.png
name: Regie.ai
description: 'Regie.ai is an AI-powered sales engagement platform that helps B2B sales teams scale outbound without adding
  headcount. Its flagship product, RegieOne, unifies AI agents with human reps to automate prospecting: lead research and
  enrichment, personalized multichannel messaging (email, phone, LinkedIn), AI dialing (power and parallel), dynamic lead
  prioritization from intent signals, sequence orchestration, and CRM integration (Salesforce, Outreach). It serves SDRs,
  account executives, sales leaders, and RevOps teams. Regie.ai is backed by Scale Venture Partners.'
url: https://raw.githubusercontent.com/api-evangelist/regieai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- scale-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-14'
tags:
- Company
- Ai Apps
- Sales Engagement
- Sales AI
- Outbound
- Prospecting
- Revenue Operations
- AI Agents
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.regie.ai/
- type: Documentation
  url: https://help.regie.ai/
- type: Support
  url: https://help.regie.ai/
- type: Pricing
  url: https://www.regie.ai/pricing
- type: Blog
  url: https://www.regie.ai/blog
- type: SignUp
  url: https://app.regie.ai/signin
- type: Login
  url: https://app.regie.ai/signin
- type: TermsOfService
  url: https://www.regie.ai/terms-and-conditions
- type: PrivacyPolicy
  url: https://www.regie.ai/privacy-policy
- type: ChangeLog
  url: https://www.regie.ai/changelog
- type: ChangeLog
  url: changelog/regieai-changelog.yml
  name: Regie.ai product changelog (structured)
- type: Compliance
  url: https://www.regie.ai/gdpr
- type: Conformance
  url: conformance/regieai-conformance.yml
  name: Regie.ai standards conformance
- type: DomainSecurity
  url: security/regieai-domain-security.yml
  name: Regie.ai domain security posture
- type: GettingStarted
  url: https://www.regie.ai/getting-started
- type: GitHubOrganization
  url: https://github.com/REGIE-io
- type: MCPServer
  url: mcp/regieai-mcp.yml
  name: Regie.ai MCP server (probed, API-key gated)
- type: WellKnown
  url: well-known/regieai-well-known.yml
  name: Regie.ai .well-known probe (OIDC discovery served on two identity hosts)
- type: Authentication
  url: authentication/regieai-authentication.yml
  name: Regie.ai authentication profile
- type: Plans
  url: plans/regieai-plans-pricing.yml
  name: Regie.ai published plans and pricing
- type: RateLimits
  url: rate-limits/regieai-rate-limits.yml
  name: Regie.ai rate limits (none published)
- type: Lifecycle
  url: lifecycle/regieai-lifecycle.yml
  name: Regie.ai lifecycle, release cadence and status-page posture
- type: LLMsTxt
  url: llms/regieai-llms.txt
  name: Regie.ai llms.txt (generated by API Evangelist)
x-enrichment:
  date: '2026-08-14'
  status: enriched
  artifacts_added: 10
  pass: local-v1

Regie.ai API — frequently asked questions

How do I authenticate with the Regie.ai API?

Regie.ai uses bearer-token authentication (4 schemes). The details are profiled on APIs.io as Regieai Authentication.

How much does the Regie.ai API cost?

Regie.ai publishes its prices; its AI SEP plan is $180 per user as of 2026-08-14. APIs.io lists 3 pricing plans for Regie.ai, with each plan's price, limits and inclusions under Pricing on this page.

Does Regie.ai have an MCP server?

Yes. APIs.io lists 1 MCP server for Regie.ai: Remote MCP server at mcp.regie.ai requiring an API key.

Is the Regie.ai API ready for AI agents?

Regie.ai has a Kin Score of 32.8 out of 100 (thin) and an Agent Readiness score of 8.5 (agent-aware), scored by API Evangelist on 2026-11-06.

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