Evermuse

Evermuse is an AI advisor for product teams that turns every customer signal — sales and success calls, support conversations, meeting notes, emails, surveys, and reviews — into code-ready, well-researched feature specifications. Its Ingestion API accepts records wrapped in a canonical Integration Envelope (JSON or NDJSON), validates, normalizes, deduplicates, and stores them in the Evermuse Data Lake for AI analysis into user needs, feature requests, and prioritized opportunities. Evermuse also publishes a hosted, OAuth 2.1-protected Model Context Protocol (MCP) server that plugs Claude, ChatGPT, Cursor, and other agents directly into a workspace's real customer evidence and live roadmap.

Evermuse publishes 1 API contract indexed on the APIs.io network: Ingestion API. Tagged areas include Company, Product Management, Customer Feedback, Voice of Customer, and Artificial Intelligence.

The Evermuse catalog on APIs.io includes 1 Spectral governance ruleset.

Evermuse’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, pricing, signup flow, and 23 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

63.6/100 strong ▬ flat Agent 54/100 agent ready Front door AI 6/6 dominant Heartbeat 92/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 published contract 1 MCP Servers 2 Agent Skills

Company Product Management Customer Feedback Voice of Customer Artificial Intelligence Data Ingestion Product Analytics MCP Developer Tools

Kin Score

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

Composite quality — 63.6/100 · strong

Contract Quality 10.8 / 19

Developer Ergonomics 8.8 / 15

Access Clarity 13.0 / 15

Operational Transparency 4.1 / 10

Contract Governance 2.9 / 9

Discoverability 5.6 / 8

Regulatory Posture 6.3 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 54/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% 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):

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)
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too
Agentic Commerce Well-Known Document +5 pts — a parsing /.well-known/ucp.json or acp.json declaring a version and at least one service, OR (0.27) a live x402 payment challenge from _data/x402-adoption.json — `self` when its endpoints are on the provider's own domain, `platform` when they are on a vendor's
Dry-Run / Simulate Mode +4 pts — OpenAPI: destructive operations expose a dry_run / simulate / preview / validate_only parameter

2 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 57.4 — up to +10.7 composite points
Developer Ergonomics scores 58.9 — up to +8.2 composite points
Contract Governance scores 31.8 — up to +8.2 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/evermuse/apis.yml: open an issue on github.com/api-evangelist/evermuse 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	17.2 (thin)	1	1
Zoom App Marketplace and Partner Ecosystem (builders and partners on Zoom)	builds-on	17.2 (thin)	1	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 5

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)

OpenAPI

measured — observed by APIs.io (published)

OAuth 2.0

measured — observed by APIs.io (declared)

APIs 1

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

Evermuse Ingestion API

Send data to Evermuse

Open Collections 1

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Evermuse ingestion API

OPEN COLLECTION

MCP Servers 1

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

Evermuse MCP Server

Remote MCP server at api.evermuse.com.

MCP SERVER

Agent Skills 2

Packaged agent skills for driving this provider's APIs from an AI assistant.

Ingest records and track the batch

AGENT SKILL

Audit recent ingestion batches

AGENT SKILL

Evermuse API pricing

Prices published by Evermuse, read 2026-10-07 from www.evermuse.com/pricing.

Plan	Price
Starter	$35 per month, billed annually Includes: Includes 250 credits, enough for ~8 customer calls; Single user account; Full functionality; 14-day
Early Stage	$70 per month, billed annually Includes: Includes 1,200 credits, enough for ~40 customer calls; Up to 3 users; Up to 50 employees
Growth Stage	$350 per month, billed annually Includes: Includes 6,000 credits, enough for ~200 customer calls; Up to 15 users; Up to 500 employees
Enterprise	Let's Talk! Includes: For companies with more than 500 employees. Unlimited Seats, Unlimited Integrations, Sophisticated t

Plan details, limits and sources →

Billed by: month, billed annually · FinOps profile →

Pricing Plans 2

Published pricing tiers and plan structures.

Evermuse Plans Pricing

4 plans

PLANS

Evermuse Price Estimates

0 plans

PLANS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Evermuse

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Evermuse Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Evermuse API Rules

60 rules · 55 errors 3 warnings 2 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Evermuse Ingest V1 Overlay

4 actions · update · evermuse-ingest-v1-openapi-original.yml

DERIVED

Security Posture 4

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

Evermuse Authentication

apiKey/oauth2 · 2 schemes

SECURITY

Evermuse Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Evermuse Vulnerability Disclosure

contact published

SECURITY

Evermuse Trust Center

SOC 2, GDPR

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Evermuse Scopes

3 scopes · authorizationCode

3 scopes

SCOPES

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Evermuse Agentic Access

3 operations · 1 acting

AGENTIC

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

MCPServer

AgentSkill

WellKnown

AgenticAccess

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Lifecycle

Idempotency

Conventions

Conformance

Access & Security 7

Authentication, authorization, and security posture

Authentication

OAuthScopes

Compliance

TrustCenter

Security

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Scroll for all 7

Operate 3

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

ChangeLog

ChangeLog

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: evermuse
name: Evermuse
description: Evermuse is an AI advisor for product teams that turns every customer signal — sales and success calls, support
  conversations, meeting notes, emails, surveys, and reviews — into code-ready, well-researched feature specifications. Its
  Ingestion API accepts records wrapped in a canonical Integration Envelope (JSON or NDJSON), validates, normalizes, deduplicates,
  and stores them in the Evermuse Data Lake for AI analysis into user needs, feature requests, and prioritized opportunities.
  Evermuse also publishes a hosted, OAuth 2.1-protected Model Context Protocol (MCP) server that plugs Claude, ChatGPT, Cursor,
  and other agents directly into a workspace's real customer evidence and live roadmap.
url: https://raw.githubusercontent.com/api-evangelist/evermuse/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: high
  source:
  - plans
  - authentication
  - scopes
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
image: https://www.evermuse.com/og-image.png
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
tags:
- Company
- Product Management
- Customer Feedback
- Voice of Customer
- Artificial Intelligence
- Data Ingestion
- Product Analytics
- MCP
- Developer Tools
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- aid: evermuse:evermuse-ingestion-api
  name: Evermuse Ingestion API
  description: Send data to Evermuse
  humanURL: https://docs.evermuse.com/
  baseURL: https://api.evermuse.com
  tags:
  - Ingestion
  tags_raw:
  - ingestion
  properties:
  - type: OpenAPI
    url: openapi/evermuse-ingestion-api-openapi.yml
  - type: Documentation
    url: https://docs.evermuse.com/
  - type: APIReference
    url: https://docs.evermuse.com/api-reference/index
  - type: GettingStarted
    url: https://docs.evermuse.com/
  - type: Authentication
    url: authentication/evermuse-authentication.yml
  - type: OAuthScopes
    url: scopes/evermuse-scopes.yml
  - type: Idempotency
    url: conventions/evermuse-conventions.yml
  - type: Conventions
    url: conventions/evermuse-conventions.yml
  - type: ErrorCatalog
    url: errors/evermuse-problem-types.yml
  - type: DataModel
    url: data-model/evermuse-data-model.yml
  - type: AgenticAccess
    url: agentic-access/evermuse-agentic-access.yml
common:
- type: Plans
  url: plans/evermuse-plans-pricing.yml
- type: Overlay
  url: overlays/evermuse-ingest-v1-overlay.yaml
- type: Website
  url: https://evermuse.com
- type: DeveloperPortal
  url: https://docs.evermuse.com/
- type: Documentation
  url: https://docs.evermuse.com/
- type: APIReference
  url: https://docs.evermuse.com/api-reference/index
- type: GettingStarted
  url: https://docs.evermuse.com/
- type: Blog
  url: https://www.evermuse.com/blog
- type: Support
  url: https://www.evermuse.com/contact
- type: Pricing
  url: https://www.evermuse.com/pricing
- type: SignUp
  url: https://app.evermuse.com/
- type: TermsOfService
  url: https://www.evermuse.com/tos
- type: PrivacyPolicy
  url: https://www.evermuse.com/privacy-policy
- type: StatusPage
  url: https://evermuse.checkly-status-page.com/
- type: ChangeLog
  url: changelog/evermuse-changelog.yml
- type: Lifecycle
  url: lifecycle/evermuse-lifecycle.yml
- type: Authentication
  url: authentication/evermuse-authentication.yml
- type: OAuthScopes
  url: scopes/evermuse-scopes.yml
- type: Idempotency
  url: conventions/evermuse-conventions.yml
- type: Conventions
  url: conventions/evermuse-conventions.yml
- type: MCPServer
  url: mcp/evermuse-mcp.yml
- type: AgentSkill
  url: skills/_index.yml
- type: WellKnown
  url: well-known/evermuse-well-known.yml
- type: Conformance
  url: conformance/evermuse-conformance.yml
- type: Compliance
  url: https://www.evermuse.com/security
- type: TrustCenter
  url: security/evermuse-trust-center.yml
- type: Security
  url: https://www.evermuse.com/security
- type: VulnerabilityDisclosure
  url: security/evermuse-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/evermuse-domain-security.yml
- type: AgenticAccess
  url: agentic-access/evermuse-agentic-access.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Evermuse API — frequently asked questions

Does Evermuse have an API?

Yes. APIs.io lists 1 API from Evermuse, including Evermuse Ingestion API.

Is there an OpenAPI specification for the Evermuse API?

Yes. APIs.io indexes 1 OpenAPI specification for Evermuse, each linked for download from this page.

How do I authenticate with the Evermuse API?

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

How much does the Evermuse API cost?

Evermuse publishes its prices; its Starter plan is $35 per month, billed annually as of 2026-10-07. APIs.io lists 4 pricing plans for Evermuse, with each plan's price, limits and inclusions under Pricing on this page.

Does Evermuse have an MCP server?

Yes. APIs.io lists 1 MCP server for Evermuse: Remote MCP server at api.evermuse.com.

Is the Evermuse API ready for AI agents?

Evermuse has a Kin Score of 63.6 out of 100 (strong) and an Agent Readiness score of 53.7 (agent-ready), 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

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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.

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