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TetraScience

Profile of TetraScience for the API Evangelist network. TetraScience is the scientific data and AI platform company behind the Tetra Scientific Data and AI Cloud — purpose-built infrastructure that liberates, replatforms, and engineers raw lab data into FAIR, AI-native Tetra Data for pharma, biotech, CROs, and CDMOs.

This repo captures the TetraScience platform surface as a set of machine-readable artifacts conforming to the API Evangelist / API Commons specifications.

Provider Snapshot

Production servers

  • https://api.tetrascience.com — Production
  • https://api.tetrascience-uat.com — UAT
  • https://api.tetrascience-dev.com — Development

Authentication

The Tetra Data Platform API uses two API-key headers on every authenticated request:

Header Purpose
ts-auth-token API token issued from the TDP admin console
x-org-slug Organization slug, for multi-tenant request routing

SAML 2.0 / OIDC SSO is also supported for human users.

Artifacts

Type File
apis.yml API Evangelist provider index — full feature, use case, integration, and industry inventory
openapi/tetrascience-openapi.yml · .json Merged OpenAPI 3.1 spec for the Tetra Data and AI Cloud API
rules/tetrascience-rules.yml Spectral ruleset enforcing TetraScience's API conventions
capabilities/ Naftiko capability bundles for Agents, Pipelines, Files & Search, and Administration
json-ld/tetrascience-context.jsonld JSON-LD context for Tetra Data, agents, pipelines, IDS, and AI layer
vocabulary/tetrascience-vocabulary.yml Domain vocabulary — platform, data lifecycle, ingestion, AI, compliance, scientific domains
plans/tetrascience-plans-pricing.yml API Commons Plans 0.1 — enterprise subscription, add-on modules, services
rate-limits/tetrascience-rate-limits.yml API Commons Rate Limits 0.1 — gateway, pipeline concurrency, search, ingest
finops/tetrascience-finops.yml FOCUS 1.3 cost mapping across subscription, agents, pipelines, storage, AI layer

API Surface

The merged OpenAPI spec covers 182 paths / 212 operations across the following tag groups:

  • Identity & Access: Tenants, Organizations, Users, Roles, Access Groups, Login
  • Lab Data Ingestion: Agents, Connectors, Commands, Data Acquisition
  • Data Engineering: Pipelines, Protocols, Task Scripts, IDS, ai-workflows, tetraflows
  • Data Lake & Search: files, schemas, lakehouse, databricks, clusters
  • Apps & Subscriptions: Data Apps, Data App Providers, Embedded / Linked Data Apps, Edit / View Subscriptions, Hubs, tetraspheres
  • Audit Trail: Tenant-level audit log

The merge ingests one OpenAPI fragment per published reference page. ~32 data-lake / file / workflow endpoints were rate-limited by Cloudflare at scrape time and may be backfilled in a subsequent refresh.

Platform Pillars

  • Tetra Agents & Integrations — Liberation layer for instrument and informatics data
  • Tetra Data Pipelines — Serverless data engineering with replays and observability
  • Intermediate Data Schema (IDS) — Vendor-neutral JSON schemas for scientific data
  • Tetra Data Lake — Cloud object storage with attributes, tags, labels, audit
  • Tetra AI Layer / Sciborgs — Scientific AI agents grounded in engineered Tetra Data
  • GxP Compliance Module — 21 CFR Part 11 / EU Annex 11 alignment
  • Chromatography Insights App — Cross-vendor CDS analytics

Use Cases

Lab Data Automation · Scientific Data Engineering · GenAI / RAG for Lab Data · Chromatography Productivity · Discovery Acceleration · CMC & Bioprocessing · Manufacturing & QC · CRO / CDMO Data Exchange · GxP Regulated Workflows · Scientific Data Migration

Industries

Pharmaceutical · Biotechnology · CRO · CDMO · Diagnostics · Cell & Gene Therapy · Analytical Chemistry

License

The artifacts in this repository are published under the API Evangelist license. TetraScience product trademarks, documentation, and APIs remain the property of TetraScience PBC.