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
17.0/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyArtificial IntelligenceFinancial ServicesInvestment ResearchAI AgentsMCPFintechEnterprise

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 17.0/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 8.4 / 20
Operational Transparency 1.4 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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
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 →

Security Posture 1

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

Pascalailabs Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

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)

apis.yml Raw ↑ 
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: '0.20'
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
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