Seeq

Seeq is an industrial analytics, machine learning and AI software company (Seattle, WA; backed by Insight Partners) serving process manufacturing industries such as oil & gas, chemicals, pharmaceuticals & life sciences, mining & metals, power & utilities, food & beverage and semiconductors. The Seeq AI Platform combines operational time-series data with employee expertise and historical context to speed investigation, monitoring and decision-making. Programmatic access is through the Seeq Server REST API (served per instance at /api with an interactive Swagger surface) and the official Python modules `seeq` and `seeq-spy` (SPy), which offer Pandas/NumPy/Jupyter-optimized functions for searching, pulling, pushing and calculating on signals, conditions and asset models via Seeq Data Lab.

Seeq is profiled on the APIs.io network. Tagged areas include Company, Manufacturing, Industrial Analytics, Time Series, and Machine Learning.

Seeq’s developer surface includes documentation, support, engineering blog, authentication, changelog, and 11 more developer resources.

🌐 Visit website 📡 Source on GitHub

22.7/100 emerging ▬ flat Agent 10/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

AccessSelf serve

0 APIs

CompanyManufacturingIndustrial AnalyticsTime SeriesMachine LearningArtificial IntelligenceProcess ManufacturingData Analytics

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 22.7/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 6.5 / 20

Commercial Clarity 7.4 / 20

Operational Transparency 2.1 / 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/seeq: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Lifecycle

Lifecycle

Build 2

SDKs, sample code, and the tooling you integrate with

Packages

Packages

SDKs

SDKs

Access & Security 4

Authentication, authorization, and security posture

Compliance

TrustCenter

DomainSecurity

Authentication

Operate 2

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

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)

aid: seeq
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
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/seeq.png
name: Seeq
description: Seeq is an industrial analytics, machine learning and AI software company (Seattle, WA; backed by Insight Partners)
  serving process manufacturing industries such as oil & gas, chemicals, pharmaceuticals & life sciences, mining & metals,
  power & utilities, food & beverage and semiconductors. The Seeq AI Platform combines operational time-series data with employee
  expertise and historical context to speed investigation, monitoring and decision-making. Programmatic access is through
  the Seeq Server REST API (served per instance at /api with an interactive Swagger surface) and the official Python modules
  `seeq` and `seeq-spy` (SPy), which offer Pandas/NumPy/Jupyter-optimized functions for searching, pulling, pushing and calculating
  on signals, conditions and asset models via Seeq Data Lab.
url: https://raw.githubusercontent.com/api-evangelist/seeq/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Manufacturing
- Industrial Analytics
- Time Series
- Machine Learning
- Artificial Intelligence
- Process Manufacturing
- Data Analytics
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.seeq.com/
- type: Documentation
  url: https://python-docs.seeq.com/
- type: Support
  url: https://support.seeq.com/
- type: Blog
  url: https://www.seeq.com/resources/blog/
- type: TermsOfService
  url: https://www.seeq.com/terms-of-use/
- type: PrivacyPolicy
  url: https://www.seeq.com/privacy-policy/
- type: Compliance
  url: https://trust.seeq.com/
- type: TrustCenter
  url: security/seeq-trust-center.yml
- type: DomainSecurity
  url: security/seeq-domain-security.yml
- type: Packages
  url: packages/seeq-packages.yml
- type: SDKs
  url: packages/seeq-packages.yml
- type: Authentication
  url: authentication/seeq-authentication.yml
- type: Conformance
  url: conformance/seeq-conformance.yml
- type: ChangeLog
  url: changelog/seeq-changelog.yml
- type: Lifecycle
  url: lifecycle/seeq-lifecycle.yml
- type: LLMsTxt
  url: llms/seeq-llms.txt
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 9
  pass: local-v1

Seeq

Kin Score

Security Posture 3

Seeq Authentication

Seeq Domain Security

Seeq Trust Center

Resources