Model ML website screenshot

Model ML

Model ML is an AI-native platform for financial services that embeds an agentic "finance agent" into the tools professionals already use — Excel, PowerPoint, Outlook, its own app, and a firm's internal systems. It automates deliverables through Workflows, runs compound-intelligence analysis via Grids, performs document review and risk assessment, captures information with a Notetaker, and answers questions through Chat and agentic dashboards backed by real-time data connections. It targets investment banking, consulting, private equity and credit, and asset and wealth management. Model ML is a fintech company backed by QED Investors. The company publishes a trust center and a security program (ISO/IEC 27001, SOC 2 Type II, GDPR) but does not currently expose a public developer API, SDK, or API documentation surface.

Model ML is profiled on the APIs.io network. Tagged areas include Company, Fintech, Artificial Intelligence, Financial-Services, and AI Agents.

Model ML’s developer surface includes engineering blog, support, and 7 more developer resources.

🌐 Visit website 📡 Source on GitHub
14.1/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyFintechArtificial IntelligenceFinancial-ServicesAI AgentsInvestment BankingEnterpriseDocument Automation

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Composite quality — 14.1/100 · emerging
Contract Quality 0.0 / 21
Developer Ergonomics 1.2 / 17
Access Clarity 6.3 / 17
Operational Transparency 1.2 / 11
Contract Governance 0.0 / 10
Discoverability 4.3 / 9
Regulatory Posture 3.6 / 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
Regulatory Posture applies to this provider. Its tags matched the Banking & Open Finance 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/.
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 github.com/api-evangelist/model-ml: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 2

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

Model Ml Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Model Ml Trust Center

ISO/IEC 27001, SOC 2 Type II, GDPR

SECURITY

Resources

Access & Security 4

Authentication, authorization, and security posture

Security
Security
 TrustCenter
TrustCenter
 Compliance
Compliance
 DomainSecurity
DomainSecurity

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 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: model-ml
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: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/model-ml.png
name: Model ML
description: Model ML is an AI-native platform for financial services that embeds an agentic "finance agent" into the tools
  professionals already use — Excel, PowerPoint, Outlook, its own app, and a firm's internal systems. It automates deliverables
  through Workflows, runs compound-intelligence analysis via Grids, performs document review and risk assessment, captures
  information with a Notetaker, and answers questions through Chat and agentic dashboards backed by real-time data connections.
  It targets investment banking, consulting, private equity and credit, and asset and wealth management. Model ML is a fintech
  company backed by QED Investors. The company publishes a trust center and a security program (ISO/IEC 27001, SOC 2 Type
  II, GDPR) but does not currently expose a public developer API, SDK, or API documentation surface.
url: https://raw.githubusercontent.com/api-evangelist/model-ml/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- qed-investors
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Fintech
- Artificial Intelligence
- Financial-Services
- AI Agents
- Investment Banking
- Enterprise
- Document Automation
tags_raw:
- Company
- Fintech
- Artificial Intelligence
- Financial Services
- AI Agents
- Investment Banking
- Enterprise
- Document Automation
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.modelml.com/
- type: Blog
  url: https://www.modelml.com/blog
- type: Security
  url: https://www.modelml.com/security
- type: TrustCenter
  url: https://trust.modelml.com/
- type: Compliance
  url: https://www.modelml.com/security
- type: TermsOfService
  url: https://www.modelml.com/legal/terms-of-service
- type: PrivacyPolicy
  url: https://www.modelml.com/legal/privacy-policy
- type: Support
  url: https://www.modelml.com/contact-us
- type: DomainSecurity
  url: security/model-ml-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 2
  pass: local-v1

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 →

Call it yourself

curl for this page
This provider 
curl "https://apis.io/api/v1/providers/model-ml"
All providers 
curl "https://apis.io/api/v1/providers?limit=25"
Every operation they expose 
curl "https://apis.io/api/v1/providers/model-ml/operations?limit=25"
How their score was established 
curl "https://apis.io/api/v1/providers/model-ml/evidence"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.