Amazon DynamoDB
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability, allowing you to store and retrieve any amount of data and serve any level of request traffic using key-value and document data models.
Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.
API Evangelist profiles Amazon DynamoDB the way a machine reads it — 145 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 — Amazon DynamoDB scores 75.4/100 (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
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Amazon DynamoDB
Each block below is one kind of artifact we hold for Amazon DynamoDB. 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.
Amazon DynamoDB Batch API
Operations for batch reading and writing multiple items
Amazon DynamoDB Items API
Operations for putting, getting, updating, and deleting individual items
Amazon DynamoDB Queries API
Operations for querying and scanning table data
Amazon DynamoDB Tables API
Operations for creating, describing, updating, listing, and deleting DynamoDB tables
Amazon DynamoDB Transactions API
Operations for transactional reads and writes across multiple items
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.
Amazon DynamoDB API
POSTMANOpen 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 DynamoDB API
OPEN COLLECTIONArazzo Workflows 9
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 DynamoDB Batch Write Then Batch Get
Bulk-write a set of items and read them back in a single batch.
ARAZZOAmazon DynamoDB Conditional Update of an Existing Item
Read an item, then update it only when it already exists.
ARAZZOAmazon DynamoDB Add a Global Secondary Index and Wait
Add a global secondary index to a table and poll until ACTIVE.
ARAZZOAmazon DynamoDB Drain and Delete a Table
Scan a table, batch-delete its items, then drop the table.
ARAZZOAmazon DynamoDB Provision Table and Seed First Item
Create a table, wait until ACTIVE, write a seed item, then read it back.
ARAZZOAmazon DynamoDB Put Item Then Query
Write an item and immediately query the partition it belongs to.
ARAZZOAmazon DynamoDB Scan With Pagination
Scan a table and page through results until the table is exhausted.
ARAZZOAmazon DynamoDB Transactional Write Then Transactional Read
Atomically write a group of items, then atomically read them back.
ARAZZOScroll within the panel for all 9 ·
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.
Amazon Dynamodb 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.
Amazon Dynamodb Finops
FINOPSFeatures 8
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.
Serverless Architecture
Fully managed, no server provisioning, patching, or capacity management required.
Single-Digit Millisecond Performance
Consistent performance at any scale with single-digit millisecond response times.
Global Tables
Multi-Region, active-active replication with up to 99.999% availability and zero RPO.
Automatic Scaling
On-demand mode automatically adapts to application throughput without capacity planning.
Transactions
ACID transactions across multiple items and tables with conditional operations.
Streams
DynamoDB Streams captures a time-ordered sequence of changes to items for event-driven architectures.
Point-in-Time Recovery
Enables continuous backups with point-in-time recovery to any second over the last 35 days.
TTL
Time to Live automatically deletes expired items to reduce storage costs.
Scroll within the panel for all 8 ·
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 Dynamodb Context
JSON-LDSpectral 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 DynamoDB API Rules
SPECTRALAmazon DynamoDB API Rules
SPECTRALJSON Schema 35
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.
Amazon DynamoDB Table
JSON SCHEMAAttributeDefinition
JSON SCHEMAAttributeValue
JSON SCHEMABatchGetItemInput
JSON SCHEMABatchGetItemOutput
JSON SCHEMABatchWriteItemInput
JSON SCHEMABatchWriteItemOutput
JSON SCHEMACreateTableInput
JSON SCHEMACreateTableOutput
JSON SCHEMADeleteItemInput
JSON SCHEMADeleteItemOutput
JSON SCHEMADescribeTableOutput
JSON SCHEMAGetItemInput
JSON SCHEMAGetItemOutput
JSON SCHEMAGlobalSecondaryIndex
JSON SCHEMAKeySchemaElement
JSON SCHEMALocalSecondaryIndex
JSON SCHEMAProjection
JSON SCHEMAProvisionedThroughputDescription
JSON SCHEMAProvisionedThroughput
JSON SCHEMAPutItemInput
JSON SCHEMAPutItemOutput
JSON SCHEMAQueryInput
JSON SCHEMAQueryOutput
JSON SCHEMAScanInput
JSON SCHEMAScanOutput
JSON SCHEMATableDescription
JSON SCHEMATag
JSON SCHEMATransactGetItemsInput
JSON SCHEMATransactGetItemsOutput
JSON SCHEMATransactWriteItemsInput
JSON SCHEMATransactWriteItemsOutput
JSON SCHEMAUpdateItemInput
JSON SCHEMAUpdateItemOutput
JSON SCHEMAUpdateTableInput
JSON SCHEMAScroll within the panel for all 35 ·
JSON Structure 35
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 Dynamodb Table Structure
JSON STRUCTUREDynamodb Openapi Attribute Definition Structure
JSON STRUCTUREDynamodb Openapi Attribute Value Structure
JSON STRUCTUREDynamodb Openapi Batch Get Item Input Structure
JSON STRUCTUREDynamodb Openapi Batch Get Item Output Structure
JSON STRUCTUREDynamodb Openapi Batch Write Item Input Structure
JSON STRUCTUREDynamodb Openapi Batch Write Item Output Structure
JSON STRUCTUREDynamodb Openapi Create Table Input Structure
JSON STRUCTUREDynamodb Openapi Create Table Output Structure
JSON STRUCTUREDynamodb Openapi Delete Item Input Structure
JSON STRUCTUREDynamodb Openapi Delete Item Output Structure
JSON STRUCTUREDynamodb Openapi Describe Table Output Structure
JSON STRUCTUREDynamodb Openapi Get Item Input Structure
JSON STRUCTUREDynamodb Openapi Get Item Output Structure
JSON STRUCTUREDynamodb Openapi Global Secondary Index Structure
JSON STRUCTUREDynamodb Openapi Key Schema Element Structure
JSON STRUCTUREDynamodb Openapi Local Secondary Index Structure
JSON STRUCTUREDynamodb Openapi Projection Structure
JSON STRUCTUREDynamodb Openapi Provisioned Throughput Structure
JSON STRUCTUREDynamodb Openapi Put Item Input Structure
JSON STRUCTUREDynamodb Openapi Put Item Output Structure
JSON STRUCTUREDynamodb Openapi Query Input Structure
JSON STRUCTUREDynamodb Openapi Query Output Structure
JSON STRUCTUREDynamodb Openapi Scan Input Structure
JSON STRUCTUREDynamodb Openapi Scan Output Structure
JSON STRUCTUREDynamodb Openapi Table Description Structure
JSON STRUCTUREDynamodb Openapi Tag Structure
JSON STRUCTUREDynamodb Openapi Transact Get Items Input Structure
JSON STRUCTUREDynamodb Openapi Transact Get Items Output Structure
JSON STRUCTUREDynamodb Openapi Transact Write Items Input Structure
JSON STRUCTUREDynamodb Openapi Transact Write Items Output Structure
JSON STRUCTUREDynamodb Openapi Update Item Input Structure
JSON STRUCTUREDynamodb Openapi Update Item Output Structure
JSON STRUCTUREDynamodb Openapi Update Table Input Structure
JSON STRUCTUREScroll within the panel for all 35 ·
Examples 35
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.
Dynamodb Openapi Tag Example
EXAMPLEScroll within the panel for all 35 ·
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.
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.
Financial Services
Fraud detection, digital onboarding, and regulatory compliance workloads requiring consistent low latency.
Gaming Applications
Player profiles, leaderboards, session state, and game data with high-throughput requirements.
E-Commerce
Shopping carts, inventory tracking, order management, and customer data platforms.
IoT Data Storage
High-volume telemetry data ingestion and time-series storage from IoT devices.
Content Management
Metadata storage and content indexing for media streaming and publishing platforms.
Resources
Every other property we hold for Amazon DynamoDB — 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 5
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 11
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 11 ·
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 4
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/amazon-dynamodb · machine-readable index on apis.io