Pantomath

Pantomath is an AI-powered Data Operations Center that monitors, manages, and automatically resolves issues across an organization's entire data analytics ecosystem. The platform combines 24/7 automated data monitoring, cross-platform data lineage and impact analysis, AI-driven incident detection, and autonomous root-cause analysis and remediation to deliver full self-resolution of issues across the data stack. Pantomath integrates with 60+ platforms spanning data warehouses (Snowflake, Redshift, BigQuery, Databricks), orchestration (Airflow, dbt, Astronomer), integration (Fivetran, Informatica, Matillion), BI/reporting (Power BI, Tableau, Looker, Sigma), and notification channels (Slack, Teams, PagerDuty). It exposes a first-party API-key-authenticated ingestion API and a published JavaScript SDK for sending custom real-time job and dataset logs. Backed by General Catalyst (Series B, $30M) and Snowflake Ventures.

Pantomath is profiled on the APIs.io network. Tagged areas include Company, Data Observability, Data Operations, Data Pipeline Monitoring, and Data Lineage.

Pantomath’s developer surface includes engineering blog, signup flow, authentication, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub
19.8/100 emerging ▬ flat Agent 10/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
0 APIs
CompanyData ObservabilityData OperationsData Pipeline MonitoringData LineageData QualityData ReliabilityAnalytics

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 19.8/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 3.9 / 20
Commercial Clarity 8.4 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 10/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 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/pantomath: 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 2

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

Pantomath Authentication

apiKey · 1 scheme

SECURITY

Pantomath Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp
SignUp

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages
 SDKs
SDKs

Access & Security 3

Authentication, authorization, and security posture

TrustCenter
TrustCenter
 Authentication
Authentication
 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

Source (apis.yml)

apis.yml Raw ↑ 
aid: pantomath
name: Pantomath
description: Pantomath is an AI-powered Data Operations Center that monitors, manages, and automatically resolves issues across
  an organization's entire data analytics ecosystem. The platform combines 24/7 automated data monitoring, cross-platform
  data lineage and impact analysis, AI-driven incident detection, and autonomous root-cause analysis and remediation to deliver
  full self-resolution of issues across the data stack. Pantomath integrates with 60+ platforms spanning data warehouses (Snowflake,
  Redshift, BigQuery, Databricks), orchestration (Airflow, dbt, Astronomer), integration (Fivetran, Informatica, Matillion),
  BI/reporting (Power BI, Tableau, Looker, Sigma), and notification channels (Slack, Teams, PagerDuty). It exposes a first-party
  API-key-authenticated ingestion API and a published JavaScript SDK for sending custom real-time job and dataset logs. Backed
  by General Catalyst (Series B, $30M) and Snowflake Ventures.
url: https://raw.githubusercontent.com/api-evangelist/pantomath/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- general-catalyst
- sierra-ventures
- snowflake-ventures
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
image: https://cdn.prod.website-files.com/62eb9994831f69b55dba91c3/6696bce927aee1c5c91cffd8_Pantomath_Observability_Logo.png
tags:
- Company
- Data Observability
- Data Operations
- Data Pipeline Monitoring
- Data Lineage
- Data Quality
- Data Reliability
- Analytics
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.pantomath.com/
- type: Blog
  url: https://www.pantomath.com/blog
- type: TermsOfService
  url: https://www.pantomath.com/terms-of-use
- type: PrivacyPolicy
  url: https://www.pantomath.com/privacy-policy
- type: SignUp
  url: https://www.pantomath.com/get-a-demo
- type: GitHubOrganization
  url: https://github.com/Pantomath-Dev
- type: TrustCenter
  url: https://trust.pantomath.com/
- type: Packages
  url: packages/pantomath-packages.yml
- type: SDKs
  url: packages/pantomath-packages.yml
- type: Authentication
  url: authentication/pantomath-authentication.yml
- type: DomainSecurity
  url: security/pantomath-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 3
  pass: local-v1