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Amazon Lake Formation website screenshot

Amazon Lake Formation

AWS Lake Formation is a service that makes it easy to set up a secure data lake in days, providing centralized governance and security for data stored in Amazon S3 and other AWS data stores with fine-grained access control.

agent ready

Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.

Kin Score

API Evangelist profiles Amazon Lake Formation the way a machine reads it — 34 machine-readable artifacts across 1 API, 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 — Amazon Lake Formation scores 76.2/100 (exemplar), 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.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 76.2/100 · exemplar
Contract Quality 18.4 / 25
Developer Ergonomics 13.9 / 20
Commercial Clarity 17.4 / 20
Operational Transparency 6.8 / 13
Governance 10.4 / 12
Discoverability 9.3 / 10
Agent readiness — 48/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 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 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Amazon Lake Formation

Each block below is one kind of artifact we hold for Amazon Lake Formation. 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 1

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.

Amazon Lake Formation Resources API

Data lake resource management

Postman Collections 1

A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.

Ready-to-run Postman collections for exercising this provider's APIs.

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).

Amazon Lake Formation API

OPEN COLLECTION

Arazzo Workflows 6

Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.

Multi-step API workflows described with the Arazzo specification.

Amazon Lake Formation Audit Resource Permissions

Enumerate registered data lake locations and list the permissions on a selected resource.

ARAZZO

Amazon Lake Formation Deregister Resource Lifecycle

Confirm a registered data lake location exists, deregister it, and verify removal.

ARAZZO

Amazon Lake Formation Migrate Principal Permissions

Grant a destination principal the same permissions and then revoke them from the source principal.

ARAZZO

Amazon Lake Formation Register Resource and Grant Permissions

Register an Amazon S3 location as a data lake resource and grant a principal access to it.

ARAZZO

Amazon Lake Formation Rotate Resource Data Access Role

Swap the IAM data access role on a registered data lake location by deregistering and re-registering it.

ARAZZO

Amazon Lake Formation Revoke Permissions and Verify

Revoke a principal's permissions on a resource and verify they were removed.

ARAZZO

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.

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.

Features 5

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.

Fine-Grained Access Control

Grant table, column, row, and cell-level permissions to data in your data lake.

Centralized Governance

Centrally define and manage security, governance, and auditing policies across the data lake.

Data Catalog Integration

Integrates with AWS Glue Data Catalog to discover, catalog, and share metadata.

Cross-Account Data Sharing

Securely share data across AWS accounts without copying it.

Governed Tables

ACID transactions and automatic compaction for governed tables stored in S3.

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.

Amazon Lake Formation Context

2 classes · 7 properties

JSON-LD

Spectral Rules 2

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.

Amazon Lake Formation API Rules

4 rules · 3 warnings

SPECTRAL

Amazon Lake Formation API Rules

22 rules · 9 errors · 13 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.

Permission

3 properties

JSON SCHEMA

DataLakeResource

3 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.

Amazon Lake Formation Permission Structure

3 properties

JSON STRUCTURE

Amazon Lake Formation Resource Structure

3 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 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.

Amazon Lake Formation Authentication

apiKey · 1 scheme

SECURITY

Amazon Lake Formation Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Amazon Lake Formation Vulnerability Disclosure

security.txt · contact published

SECURITY

Amazon Lake Formation Trust Center

PCI DSS, HIPAA, FedRAMP, GDPR, FIPS 140

SECURITY

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.

Amazon Lake Formation Agentic Access

7 operations · 4 acting · 1 human-in-the-loop

7 operations · 4 acting

AGENTIC

Use Cases 3

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.

Data Lake Security

Implement fine-grained access control for data stored in S3 with row and column-level security.

Self-Service Analytics

Enable business users to discover and access approved data without manual provisioning.

Cross-Account Data Sharing

Share data lake resources across AWS accounts and organizations.

Resources

Every other property we hold for Amazon Lake Formation — 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.

Get Started 4

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 8

Pagination, idempotency, versioning, errors, and events

Scroll within the panel for all 8 ·

Operate 3

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

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