# Seeq

**Canonical:** https://apis.io/providers/seeq/  
**Website:** https://www.seeq.com/  
**APIs profiled:** 0

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.

## Kin Score — 24.5 / 100 (emerging)

Scored 2026-08-19 under rubric 0.12.0. Trend: flat (+1.3 from 23.2).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 18.2 |
| Contract Governance | 18.2 |
| Operational Transparency | 15.8 |
| Developer Ergonomics | 35.7 |
| Commercial Clarity | 36.8 |
| Access Clarity | 36.8 |

## Agent readiness — 8.5 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | yes |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Self-serve signup — onboarding: self-serve, pricing: unknown, trial: no (confidence: medium).

## Security (3)

- **Seeq Authentication** — apiKey/http/oauth2 · 3 schemes
- **Seeq Domain Security** — TLSv1.3 · DMARC
- **Seeq Trust Center** — SOC 2, ISO 27001, CSA STAR

## Tags

Company, Manufacturing, Industrial Analytics, Time Series, Machine Learning, Artificial Intelligence, Process Manufacturing, Data Analytics

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/seeq/). Scores are computed from the provider's own public artifacts under a published rubric.