Test Cases
Structured scenarios that verify software functionality by defining inputs, execution conditions, and expected results to ensure quality and correctness. Test cases are the fundamental units of software testing that document what needs to be tested, the conditions under which the test runs, and the expected outcomes. They are widely used across manual testing, automated testing, and API testing workflows.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Test Cases the way a machine reads it — 47 machine-readable artifacts across 9 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 — Test Cases scores 52.5/100 (developing), with a separate agent-readiness read of 48/100 (agent ready). 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.
How we profile Test Cases
Each block below is one kind of artifact we hold for Test Cases. 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 9
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.
Postman API
API for managing Postman collections, environments, monitors, mock servers, and test runs programmatically. Supports creating and executing test cases via Newman and Postman scr...
TestRail API
REST API for TestRail test case management system, enabling programmatic creation, update, and retrieval of test cases, test runs, test plans, and results.
Zephyr Scale API
REST API for Zephyr Scale test management in Jira Cloud, supporting test case creation, test cycles, test execution, and reporting within Jira.
Xray Test Management API
REST API for Xray test management in Jira, supporting test case management, test execution, test coverage, and CI/CD integration for structured test case workflows.
PractiTest API
REST API for PractiTest test management platform supporting test case libraries, test runs, requirements, defects, and full quality management workflows.
Katalon TestOps API
API for Katalon TestOps test automation platform, providing endpoints for test case management, test execution, reports, and integration with CI/CD pipelines.
Test Cases Collections API
The Collections API from Test Cases — 2 operation(s) for collections.
Test Cases Environments API
The Environments API from Test Cases — 2 operation(s) for environments.
Test Cases Mocks API
The Mocks API from Test Cases — 1 operation(s) for mocks.
Scroll within the panel for all 9 ·
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Postman API (Test Cases)
OPEN COLLECTIONPricing 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.
Test Cases Rate Limits
RATE LIMITSFinOps 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.
Test Cases Finops
FINOPSFeatures 6
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Test Case Design
Define structured test scenarios with preconditions, inputs, execution steps, and expected results.
Test Case Management
Organize, version, and prioritize test cases within test suites and test plans.
Parameterized Testing
Run test cases with multiple input datasets using data-driven testing approaches.
Reusability
Share and reuse test cases across different test suites and projects.
Traceability
Link test cases to requirements, user stories, and defects for full traceability.
Automated Execution
Execute test cases programmatically via APIs or CI/CD integrations.
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.
Test Cases Context
JSON-LDSpectral 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.
Test Cases API Rules
SPECTRALJSON Schema 4
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.
JSON Structure 4
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.
Test Cases Test Case Structure
JSON STRUCTURETest Cases Test Result Structure
JSON STRUCTURETest Cases Test Step Structure
JSON STRUCTURETest Cases Test Suite Structure
JSON STRUCTUREExamples 4
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.
Test Cases Test Case Example
EXAMPLETest Cases Test Step Example
EXAMPLESecurity Posture 4
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.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 5
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Regression Testing
Verify that existing functionality has not been broken by recent code changes.
Acceptance Testing
Confirm that software meets business requirements and user expectations.
API Contract Testing
Validate API request and response payloads against defined contracts and schemas.
Smoke Testing
Quickly verify that the most critical application functions work after a new build.
Integration Testing
Validate that different modules and services interact correctly with each other.
Integrations 4
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Jira
Link test cases to Jira issues and track test coverage for requirements.
Jenkins
Trigger test case execution as part of Jenkins CI/CD pipelines.
GitHub Actions
Run test cases automatically on pull requests and push events.
Slack
Receive test run notifications and results in Slack channels.
Resources
Every other property we hold for Test Cases — 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 5
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Access & Security 4
Authentication, authorization, and security posture
← All providers · Data indexed from github.com/api-evangelist/test-cases · machine-readable index on apis.io