Enterpret

Enterpret is a customer intelligence platform that unifies feedback from 50+ sources — support tickets, sales and success calls, surveys, reviews, app stores, and social — into a single source of truth built on a proprietary Customer Knowledge Graph and Adaptive Taxonomy. Product, CX, and go-to-market teams use it to quantify what is driving churn, prioritize the roadmap, and surface win/loss reasons. Its Wisdom AI and hosted MCP server let teams query customer feedback in natural language from Claude, Cursor, Notion, Slack, ChatGPT, and other agents, with citations back to source records.

Enterpret is profiled on the APIs.io network. Tagged areas include Company, Customer Intelligence, Customer Feedback, Voice of Customer, and Customer Experience.

Enterpret’s developer surface includes documentation, support, getting-started guide, engineering blog, signup flow, authentication, changelog, and 13 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

34.0/100 thin ▬ flat Agent 27/100 agent aware Front door AI 6/6 dominant Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

Company Customer Intelligence Customer Feedback Voice of Customer Customer Experience Analytics Artificial Intelligence MCP Software-as-a-Service

Kin Score

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

Composite quality — 34.0/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 8.5 / 17

Access Clarity 8.5 / 17

Operational Transparency 3.5 / 11

Contract Governance 1.9 / 10

Discoverability 5.0 / 9

Regulatory Posture 4.1 / 15

Agent readiness — 27/100 · 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 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 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
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

8 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 50.0 — up to +10.0 composite points
Access Clarity scores 50.0 — up to +10.0 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/enterpret/apis.yml: open an issue on github.com/api-evangelist/enterpret 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Surveys, Market Research and Experience Management	builds-on	45.1	-	-
Zoom App Marketplace and Partner Ecosystem (builders and partners on Zoom)	builds-on	45.1	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 3

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 (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

MCP Servers 1

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

Enterpret MCP Server

Remote MCP server at wisdom-api.enterpret.com over HTTP; 7 tools listed.

MCP SERVER

Security Posture 3

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

Enterpret Authentication

oauth2/http · 2 schemes

SECURITY

Enterpret Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Enterpret Trust Center

SOC 2, ISO 27001, GDPR

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Conformance

Conformance

Access & Security 4

Authentication, authorization, and security posture

Compliance

Authentication

TrustCenter

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

ChangeLog

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: enterpret
name: Enterpret
description: Enterpret is a customer intelligence platform that unifies feedback from 50+ sources — support tickets, sales
  and success calls, surveys, reviews, app stores, and social — into a single source of truth built on a proprietary Customer
  Knowledge Graph and Adaptive Taxonomy. Product, CX, and go-to-market teams use it to quantify what is driving churn, prioritize
  the roadmap, and surface win/loss reasons. Its Wisdom AI and hosted MCP server let teams query customer feedback in natural
  language from Claude, Cursor, Notion, Slack, ChatGPT, and other agents, with citations back to source records.
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: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://cdn.prod.website-files.com/69e6b779dbc68d6b76294ae1/69e6b779dbc68d6b76294e12_1200x630%20Open%20Graph.png
url: https://raw.githubusercontent.com/api-evangelist/enterpret/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- canaan-partners
- kleiner-perkins
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Customer Intelligence
- Customer Feedback
- Voice of Customer
- Customer Experience
- Analytics
- Artificial Intelligence
- MCP
- Software-as-a-Service
tags_raw:
- Company
- Customer Intelligence
- Customer Feedback
- Voice of Customer
- Customer Experience
- Analytics
- Artificial Intelligence
- MCP
- SaaS
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.enterpret.com
- type: DeveloperPortal
  url: https://helpcenter.enterpret.com/en/collections/9060203-enterpret-mcp
- type: Documentation
  url: https://helpcenter.enterpret.com/en/
- type: Support
  url: https://helpcenter.enterpret.com/en/
- type: GettingStarted
  url: https://www.enterpret.com/guides
- type: Blog
  url: https://www.enterpret.com/blog
- type: SignUp
  url: https://www.enterpret.com/try-enterpret
- type: Login
  url: https://dashboard.enterpret.com/login
- type: TermsOfService
  url: https://www.enterpret.com/terms
- type: PrivacyPolicy
  url: https://www.enterpret.com/privacy-and-policy
- type: StatusPage
  url: https://status.enterpret.com/
- type: Compliance
  url: https://www.enterpret.com/security
- type: MCPServer
  name: Enterpret MCP Server
  url: mcp/enterpret-mcp.yml
- type: LLMsTxt
  url: llms/enterpret-llms.txt
- type: Authentication
  url: authentication/enterpret-authentication.yml
- type: ChangeLog
  url: changelog/enterpret-changelog.yml
- type: Lifecycle
  url: lifecycle/enterpret-lifecycle.yml
- type: Conformance
  url: conformance/enterpret-conformance.yml
- type: TrustCenter
  url: security/enterpret-trust-center.yml
- type: DomainSecurity
  url: security/enterpret-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Enterpret API — frequently asked questions

How do I authenticate with the Enterpret API?

Enterpret documents its authentication (oauth2/http · 2 schemes). The details are profiled on APIs.io as Enterpret Authentication.

Does Enterpret have an MCP server?

Yes. APIs.io lists 1 MCP server for Enterpret: Remote MCP server at wisdom-api.enterpret.com over HTTP; 7 tools listed.

Is the Enterpret API ready for AI agents?

Enterpret has a Kin Score of 34.0 out of 100 (thin) and an Agent Readiness score of 27.3 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

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Every operation they expose

curl "https://apis.io/api/v1/providers/enterpret/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/enterpret/evidence"

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