Kimpton AI

Kimpton AI is an AI-native investment research platform for institutional portfolio managers at hedge funds, mutual funds, and sustainable equity funds. It ingests market data, SEC filings, 13F holdings, earnings, and a fund's own investment mandates and research documents, then generates daily trade proposals with citations grounded in the fund's actual holdings — keeping human managers in control of every final decision. The platform connects to custodians and OMS/portfolio systems (or accepts direct uploads) to sync positions and P&L, aggregates mandates and research in a document vault, and integrates market-data partners FactSet, Tiingo, Massive, and Plaid. It is a managed service for professional investors and does not currently expose a public developer API. Backed by Y Combinator.

Kimpton AI is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Investment Research, Fintech, and Financial-Services.

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

🌐 Visit website 📡 Source on GitHub

14.9/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Artificial Intelligence Investment Research Fintech Financial-Services Portfolio-Management Trade AnalyticsResearch AutomationHedge Funds

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 14.9/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 1.4 / 20

Access Clarity 7.1 / 20

Operational Transparency 1.4 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

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

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.

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Security Posture 2

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

Kimpton Ai Vulnerability Disclosure

contact published

SECURITY

Kimpton Ai Trust Center

trust center published

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Access & Security 3

Authentication, authorization, and security posture

Security

Security

VulnerabilityDisclosure

VulnerabilityDisclosure

TrustCenter

TrustCenter

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 5

The organization behind the API

Website

Website

About

About

Blog

Blog

LinkedIn

Twitter

Twitter

Source (apis.yml)

aid: kimpton-ai
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/kimpton-ai.png
name: Kimpton AI
description: Kimpton AI is an AI-native investment research platform for institutional portfolio managers at hedge funds,
  mutual funds, and sustainable equity funds. It ingests market data, SEC filings, 13F holdings, earnings, and a fund's own
  investment mandates and research documents, then generates daily trade proposals with citations grounded in the fund's actual
  holdings — keeping human managers in control of every final decision. The platform connects to custodians and OMS/portfolio
  systems (or accepts direct uploads) to sync positions and P&L, aggregates mandates and research in a document vault, and
  integrates market-data partners FactSet, Tiingo, Massive, and Plaid. It is a managed service for professional investors
  and does not currently expose a public developer API. Backed by Y Combinator.
url: https://raw.githubusercontent.com/api-evangelist/kimpton-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Investment Research
- Fintech
- Financial-Services
- Portfolio-Management
- Trade Analytics
- Research Automation
- Hedge Funds
tags_raw:
- Company
- Artificial Intelligence
- Investment Research
- FinTech
- Financial Services
- Portfolio Management
- Trade Analytics
- Research Automation
- Hedge Funds
apis: []
common:
- type: Website
  url: https://kimpton.ai
- type: About
  url: https://kimpton.ai/about
- type: Blog
  url: https://kimpton.ai/news
- type: Support
  url: https://kimpton.ai/support
- type: Login
  url: https://kimpton.ai/chat
- type: PrivacyPolicy
  url: https://kimpton.ai/privacy
- type: TermsOfService
  url: https://kimpton.ai/terms
- type: Security
  url: security/kimpton-ai-vulnerability-disclosure.yml
- type: VulnerabilityDisclosure
  url: security/kimpton-ai-vulnerability-disclosure.yml
- type: TrustCenter
  url: security/kimpton-ai-trust-center.yml
- type: LinkedIn
  url: https://www.linkedin.com/showcase/kimpton-ai/
- type: Twitter
  url: https://x.com/KimptonAI
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

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