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Tetra Tech

Tetra Tech is an American consulting and engineering services firm headquartered in Pasadena, California. Founded in 1966, it provides consulting, engineering, program management, and construction management services across water, environment, infrastructure, resource management, energy, and international development. With 30,000 employees across 550 offices worldwide, Tetra Tech delivers data-driven digital solutions under the Tetra Tech Delta brand, encompassing advanced data analytics, artificial intelligence, process automation, and cloud integration. Key digital offerings include the Cosmos mobile data collection platform, WaterNet SaaS for water network management, and environmental data management tools. The company's GitHub organization (tetratech) hosts open-source environmental and water quality analysis tools.

human only

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Tetra Tech the way a machine reads it — 17 machine-readable artifacts across 5 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Tetra Tech scores 38.0/100 (thin), with a separate agent-readiness read of 7/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 38.0/100 · thin
Contract Quality 5.2 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 7.9 / 20
Operational Transparency 4.8 / 13
Governance 10.4 / 12
Discoverability 9.3 / 10
Agent readiness — 7/100 · 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 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Tetra Tech

Each block below is one kind of artifact we hold for Tetra Tech. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 5

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

Cosmos Mobile Data Platform API

Cosmos is Tetra Tech's mobile data collection platform designed for field data capture, project management, and reporting. The Cosmos API and webhook system enables integration ...

Tetra Tech Data Discovery Tool API

The Data Discovery Tool (DDT) is an open-source environmental data analysis platform developed by Tetra Tech in partnership with USEPA. It provides data query, analysis, and vis...

baytrends Water Quality Trend API

baytrends is an open-source R package developed by Tetra Tech for evaluating long-term trends in Chesapeake Bay and similar water bodies using Generalized Additive Modeling (GAM...

Tetra Tech Delta Data Management Services

The Tetra Tech Delta digital solutions portfolio delivers enterprise data management and analytics capabilities for industrial clients. Services include historian development, a...

WaterNet Water Network Management API

WaterNet is Tetra Tech's SaaS water network management solution for utilities. It provides data-driven insights for water infrastructure management, enabling utilities to monito...

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Tetra Tech Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

Cost, billing, and metering signals for API financial operations.

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Tetra Tech Context

19 classes · 11 properties

JSON-LD

Spectral Rules 1

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

Tetra Tech API Rules

5 rules · 3 warnings

SPECTRAL

JSON Schema 2

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

Tetra Tech Project

12 properties

JSON SCHEMA

Water Quality Sample

11 properties

JSON SCHEMA

JSON Structure 2

JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.

JSON Structure definitions describing this provider's data shapes.

Tetra Tech Project Structure

0 properties

JSON STRUCTURE

Tetra Tech Water Quality Structure

0 properties

JSON STRUCTURE

Examples 2

Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.

Example request and response payloads for these APIs.

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

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

Tetra Tech Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Every other property we hold for Tetra Tech — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Documentation 2

Reference material describing how the API behaves

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Company 3

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/tetra-tech · machine-readable index on apis.io