Pascal AI

Pascal AI (Pascal AI Labs) is an institutional-finance AI company building context-driven, MCP-native research agents that turn enterprise and market data into investment insights for hedge funds, asset managers, investment banks, and private-markets firms. Pascal sits inside Excel, PowerPoint, Word, email, and the browser through an Agent Control Center, ships 25+ pre-built research agents, maintains a persistent knowledge graph and memory across every document a team has touched, and returns fully cited outputs with RBAC enforcement. It deploys inside the customer VPC or on-premises and exposes an enterprise API & SDK (Python, TypeScript, REST) plus finance-ready MCP connectors. Founded in 2024 in Bangalore, Pascal AI raised a $3.1M seed round in 2025 led by Kalaari Capital with Norwest Venture Partners, Antler, and Info Edge Ventures. It publishes SOC 2 Type II, ISO 27001, and GDPR compliance. No public API specification or developer portal is published; developer surfaces are gated to enterprise customers.

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

Pascal AI’s developer surface includes engineering blog, signup flow, and 9 more developer resources.

🌐 Visit website 📡 Source on GitHub

18.2/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0

0 APIs

CompanyArtificial IntelligenceFinancial-ServicesInvestment ResearchAI AgentsMCPFintechEnterprise

Kin Score

Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0

Composite quality — 18.2/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 0.5 / 20

Access Clarity 8.4 / 20

Operational Transparency 1.4 / 13

Contract Governance 2.2 / 12

Discoverability 5.7 / 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

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/pascalailabs: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 3

Authentication, authorization, and security posture

Security

Security

Compliance

Compliance

DomainSecurity

DomainSecurity

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

Other 1

Properties that don't map to a standard resource type

Product

Product

Source (apis.yml)

aid: pascalailabs
name: Pascal AI
description: Pascal AI (Pascal AI Labs) is an institutional-finance AI company building context-driven, MCP-native research
  agents that turn enterprise and market data into investment insights for hedge funds, asset managers, investment banks,
  and private-markets firms. Pascal sits inside Excel, PowerPoint, Word, email, and the browser through an Agent Control Center,
  ships 25+ pre-built research agents, maintains a persistent knowledge graph and memory across every document a team has
  touched, and returns fully cited outputs with RBAC enforcement. It deploys inside the customer VPC or on-premises and exposes
  an enterprise API & SDK (Python, TypeScript, REST) plus finance-ready MCP connectors. Founded in 2024 in Bangalore, Pascal
  AI raised a $3.1M seed round in 2025 led by Kalaari Capital with Norwest Venture Partners, Antler, and Info Edge Ventures.
  It publishes SOC 2 Type II, ISO 27001, and GDPR compliance. No public API specification or developer portal is published;
  developer surfaces are gated to enterprise customers.
url: https://raw.githubusercontent.com/api-evangelist/pascalailabs/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- norwest-venture-partners
- kalaari-capital
- antler
- info-edge-ventures
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
image: https://pascalailabs.com/favicon.ico
tags:
- Company
- Artificial Intelligence
- Financial-Services
- Investment Research
- AI Agents
- MCP
- Fintech
- Enterprise
tags_raw:
- Company
- Artificial Intelligence
- Financial Services
- Investment Research
- AI Agents
- MCP
- Fintech
- Enterprise
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://pascalailabs.com
- type: Product
  url: https://pascalailabs.com/product
- type: Security
  url: https://pascalailabs.com/security
- type: Compliance
  url: https://pascalailabs.com/security
- type: TermsOfService
  url: https://pascalailabs.com/terms-of-use
- type: PrivacyPolicy
  url: https://pascalailabs.com/privacy-policy
- type: Blog
  url: https://pascalailabs.com/news
- type: SignUp
  url: https://alpha.pascalailabs.com
- type: DomainSecurity
  url: security/pascalailabs-domain-security.yml
- type: Conformance
  url: conformance/pascalailabs-conformance.yml
- type: LLMsTxt
  url: llms/pascalailabs-llms.txt
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 3
  pass: local-v1