Eunice

Eunice is a London-based AI fintech building institutional-grade due diligence and monitoring infrastructure for digital assets and private markets. Its platform automates token due diligence, classification, risk analysis, and disclosure requirements — including an AI-powered MiCA whitepaper library for streamlining compliance with the EU's Markets in Crypto-Assets Regulation — and delivers insights through a dashboard and API to exchanges, funds, custodians, issuers, and regulators. Founded in 2021 by Yi Luo, a second-time fintech entrepreneur and former VC, Eunice raised $8M in combined Seed and Pre-Seed funding led by Moonfire Ventures and Speedinvest with participation from Openspace Ventures in 2026, and counts Coinbase, Crypto.com, Copper, and Zodia Custody among its clients.

Eunice is profiled on the APIs.io network. Tagged areas include Company, Compliance, Due Diligence, Digital Assets, and Cryptocurrency.

Eunice’s developer surface includes engineering blog, support, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

12.7/100 emerging ▬ flat Agent 12/100 agent aware Front door AI 4/6 moderate Heartbeat 90/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

Company Compliance Due Diligence Digital Assets Cryptocurrency RegTech Fintech Artificial IntelligenceRisk MonitoringMiCA

Kin Score

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

Composite quality — 12.7/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 4.9 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 5.0 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 12/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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 5 / 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
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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

11 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 7.1 — up to +18.6 composite points
Access Clarity scores 28.9 — up to +14.2 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/eunice/apis.yml: open an issue on github.com/api-evangelist/eunice 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 2

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)

MCP Servers 1

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

Eunice MCP Server

Remote MCP server at mcp.eunice.ai over HTTP.

MCP SERVER

Security Posture 2

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

Eunice Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Eunice Trust Center

SOC 2 Type II, GDPR

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

TrustCenter

TrustCenter

Compliance

Compliance

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

Website

Website

Blog

Blog

Careers

Careers

LinkedIn

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

aid: eunice
name: Eunice
description: Eunice is a London-based AI fintech building institutional-grade due diligence and monitoring infrastructure
  for digital assets and private markets. Its platform automates token due diligence, classification, risk analysis, and disclosure
  requirements — including an AI-powered MiCA whitepaper library for streamlining compliance with the EU's Markets in Crypto-Assets
  Regulation — and delivers insights through a dashboard and API to exchanges, funds, custodians, issuers, and regulators.
  Founded in 2021 by Yi Luo, a second-time fintech entrepreneur and former VC, Eunice raised $8M in combined Seed and Pre-Seed
  funding led by Moonfire Ventures and Speedinvest with participation from Openspace Ventures in 2026, and counts Coinbase,
  Crypto.com, Copper, and Zodia Custody among its clients.
url: https://raw.githubusercontent.com/api-evangelist/eunice/refs/heads/main/apis.yml
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:
  - security
  generated: '2026-11-06'
  method: derived
image: https://framerusercontent.com/assets/Ep1Xh8MWpsASZ3okbXOWDZjNc.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- speedinvest
- moonfire-ventures
- openspace-ventures
x-tier: profiled
x-tier-reason: portfolio-lead-enriched
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Compliance
- Due Diligence
- Digital Assets
- Cryptocurrency
- RegTech
- Fintech
- Artificial Intelligence
- Risk Monitoring
- MiCA
apis: []
common:
- type: DomainSecurity
  url: security/eunice-domain-security.yml
- type: LLMsTxt
  url: llms/eunice-llms.txt
- type: Website
  url: https://eunice.ai/
- type: Blog
  url: https://eunice.ai/blog
- type: TrustCenter
  url: https://app.eu.vanta.com/eunice.ai/trust/siy0j28scq653o6k5baea
- type: Compliance
  url: security/eunice-trust-center.yml
- type: TermsOfService
  url: https://eunice.ai/terms-and-conditions
- type: PrivacyPolicy
  url: https://eunice.ai/privacy-policy
- type: Support
  url: mailto:support@eunice.ai
- type: Careers
  url: https://eunice.ai/careers
- type: LinkedIn
  url: https://www.linkedin.com/company/euniceai/
- type: X
  url: https://x.com/eunice_ai1
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Eunice API — frequently asked questions

Does Eunice have an MCP server?

Yes. APIs.io lists 1 MCP server for Eunice: Remote MCP server at mcp.eunice.ai over HTTP.

Is the Eunice API ready for AI agents?

Eunice has a Kin Score of 12.7 out of 100 (emerging) and an Agent Readiness score of 12.2 (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.

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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.
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find_cohortsEvery scored population of providers in the catalog.

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