Amazon DynamoDB
A fully managed NoSQL database service that provides fast and predictable performance with seamless scalability.
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 Amazon DynamoDB the way a machine reads it — 247 machine-readable artifacts across 14 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 58.9/100 (developing), with a separate agent-readiness read of 54/100 (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 14
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 Streams API
API for capturing and processing change data from DynamoDB tables in near real-time, providing time-ordered sequences of item-level modifications.
Amazon DynamoDB Backups API
Operations for creating, describing, listing, and deleting on-demand backups
Amazon DynamoDB Batch Operations API
Operations for reading and writing multiple items in batch
Amazon DynamoDB Exports API
Operations for exporting table data to Amazon S3
Amazon DynamoDB Imports API
Operations for importing data from Amazon S3 into DynamoDB tables
Amazon DynamoDB Items API
Operations for reading and writing individual items in DynamoDB tables
Amazon DynamoDB #ListTagsOfResource API
The #ListTagsOfResource API from Amazon DynamoDB — 1 operation(s) for #listtagsofresource.
Amazon DynamoDB PartiQL API
Execute SQL-compatible PartiQL statements against DynamoDB tables
Amazon DynamoDB Queries API
Operations for querying and scanning items in DynamoDB tables
Amazon DynamoDB Tables API
Operations for creating, describing, updating, listing, and deleting DynamoDB tables
Amazon DynamoDB #TagResource API
The #TagResource API from Amazon DynamoDB — 1 operation(s) for #tagresource.
Amazon DynamoDB Transactions API
Transactional read and write operations across multiple items and tables
Amazon DynamoDB TTL API
Time to Live configuration for automatic item expiration
Amazon DynamoDB #UntagResource API
The #UntagResource API from Amazon DynamoDB — 1 operation(s) for #untagresource.
Scroll within the panel for all 14 ·
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 DynamoDB API
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.
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.
Dynamodb Finops
FINOPSFeatures 7
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.
Single-Digit Millisecond Performance
Consistent low-latency reads and writes at any scale with SSD-backed storage.
Global Tables
Multi-region, multi-active replication for globally distributed applications.
On-Demand Capacity
Automatically scale throughput capacity based on workload without capacity planning.
DynamoDB Streams
Capture item-level changes for real-time processing, replication, and event-driven architectures.
Point-in-Time Recovery
Continuous backups with restore to any second within the last 35 days.
Transactions
ACID transactions across multiple items and tables for complex business logic.
PartiQL Support
Execute SQL-compatible queries against DynamoDB tables using PartiQL language.
Scroll within the panel for all 7 ·
Event Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Amazon DynamoDB Streams
Amazon DynamoDB Streams captures a time-ordered sequence of item-level modifications in any DynamoDB table and stores this information in a log for up to 24 hours. Applications ...
ASYNCAPISemantic 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.
Dynamodb Context
JSON-LDSpectral Rules 3
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
SPECTRALAmazon DynamoDB API Rules
SPECTRALJSON Schema 70
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.
AttributeDefinition
JSON SCHEMAAttributeValue
JSON SCHEMABatchExecuteStatementInput
JSON SCHEMABatchExecuteStatementOutput
JSON SCHEMABatchGetItemInput
JSON SCHEMABatchGetItemOutput
JSON SCHEMABatchWriteItemInput
JSON SCHEMABatchWriteItemOutput
JSON SCHEMAConsumedCapacity
JSON SCHEMACreateBackupInput
JSON SCHEMACreateBackupOutput
JSON SCHEMACreateTableInput
JSON SCHEMACreateTableOutput
JSON SCHEMADeleteItemInput
JSON SCHEMADeleteItemOutput
JSON SCHEMADeleteTableInput
JSON SCHEMADeleteTableOutput
JSON SCHEMADescribeContinuousBackupsInput
JSON SCHEMADescribeContinuousBackupsOutput
JSON SCHEMADescribeTableInput
JSON SCHEMADescribeTableOutput
JSON SCHEMADescribeTimeToLiveInput
JSON SCHEMADescribeTimeToLiveOutput
JSON SCHEMAErrorResponse
JSON SCHEMAExecuteStatementInput
JSON SCHEMAExecuteStatementOutput
JSON SCHEMAExecuteTransactionInput
JSON SCHEMAExecuteTransactionOutput
JSON SCHEMAExportTableToPointInTimeInput
JSON SCHEMAExportTableToPointInTimeOutput
JSON SCHEMAGetItemInput
JSON SCHEMAGetItemOutput
JSON SCHEMAGlobalSecondaryIndex
JSON SCHEMAImportTableInput
JSON SCHEMAImportTableOutput
JSON SCHEMAItemCollectionMetrics
JSON SCHEMAAmazon DynamoDB Item Schema
JSON SCHEMAKeySchemaElement
JSON SCHEMAListBackupsInput
JSON SCHEMAListBackupsOutput
JSON SCHEMAListTablesInput
JSON SCHEMAListTablesOutput
JSON SCHEMAListTagsOfResourceInput
JSON SCHEMAListTagsOfResourceOutput
JSON SCHEMALocalSecondaryIndex
JSON SCHEMAProjection
JSON SCHEMAProvisionedThroughputDescription
JSON SCHEMAProvisionedThroughput
JSON SCHEMAPutItemInput
JSON SCHEMAPutItemOutput
JSON SCHEMAQueryInput
JSON SCHEMAQueryOutput
JSON SCHEMAScanInput
JSON SCHEMAScanOutput
JSON SCHEMASSESpecification
JSON SCHEMAStreamSpecification
JSON SCHEMATableDescription
JSON SCHEMATagResourceInput
JSON SCHEMATag
JSON SCHEMATransactGetItemsInput
JSON SCHEMATransactGetItemsOutput
JSON SCHEMATransactWriteItemsInput
JSON SCHEMATransactWriteItemsOutput
JSON SCHEMAUntagResourceInput
JSON SCHEMAUpdateItemInput
JSON SCHEMAUpdateItemOutput
JSON SCHEMAUpdateTableInput
JSON SCHEMAUpdateTableOutput
JSON SCHEMAUpdateTimeToLiveInput
JSON SCHEMAUpdateTimeToLiveOutput
JSON SCHEMAScroll within the panel for all 70 ·
JSON Structure 69
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.
Dynamodb Attribute Definition Structure
JSON STRUCTUREDynamodb Attribute Value Structure
JSON STRUCTUREDynamodb Batch Execute Statement Input Structure
JSON STRUCTUREDynamodb Batch Execute Statement Output Structure
JSON STRUCTUREDynamodb Batch Get Item Input Structure
JSON STRUCTUREDynamodb Batch Get Item Output Structure
JSON STRUCTUREDynamodb Batch Write Item Input Structure
JSON STRUCTUREDynamodb Batch Write Item Output Structure
JSON STRUCTUREDynamodb Consumed Capacity Structure
JSON STRUCTUREDynamodb Create Backup Input Structure
JSON STRUCTUREDynamodb Create Backup Output Structure
JSON STRUCTUREDynamodb Create Table Input Structure
JSON STRUCTUREDynamodb Create Table Output Structure
JSON STRUCTUREDynamodb Delete Item Input Structure
JSON STRUCTUREDynamodb Delete Item Output Structure
JSON STRUCTUREDynamodb Delete Table Input Structure
JSON STRUCTUREDynamodb Delete Table Output Structure
JSON STRUCTUREDynamodb Describe Continuous Backups Input Structure
JSON STRUCTUREDynamodb Describe Continuous Backups Output Structure
JSON STRUCTUREDynamodb Describe Table Input Structure
JSON STRUCTUREDynamodb Describe Table Output Structure
JSON STRUCTUREDynamodb Describe Time To Live Input Structure
JSON STRUCTUREDynamodb Describe Time To Live Output Structure
JSON STRUCTUREDynamodb Error Response Structure
JSON STRUCTUREDynamodb Execute Statement Input Structure
JSON STRUCTUREDynamodb Execute Statement Output Structure
JSON STRUCTUREDynamodb Execute Transaction Input Structure
JSON STRUCTUREDynamodb Execute Transaction Output Structure
JSON STRUCTUREDynamodb Export Table To Point In Time Input Structure
JSON STRUCTUREDynamodb Export Table To Point In Time Output Structure
JSON STRUCTUREDynamodb Get Item Input Structure
JSON STRUCTUREDynamodb Get Item Output Structure
JSON STRUCTUREDynamodb Global Secondary Index Structure
JSON STRUCTUREDynamodb Import Table Input Structure
JSON STRUCTUREDynamodb Import Table Output Structure
JSON STRUCTUREDynamodb Item Collection Metrics Structure
JSON STRUCTUREDynamodb Key Schema Element Structure
JSON STRUCTUREDynamodb List Backups Input Structure
JSON STRUCTUREDynamodb List Backups Output Structure
JSON STRUCTUREDynamodb List Tables Input Structure
JSON STRUCTUREDynamodb List Tables Output Structure
JSON STRUCTUREDynamodb List Tags Of Resource Input Structure
JSON STRUCTUREDynamodb List Tags Of Resource Output Structure
JSON STRUCTUREDynamodb Local Secondary Index Structure
JSON STRUCTUREDynamodb Projection Structure
JSON STRUCTUREDynamodb Provisioned Throughput Description Structure
JSON STRUCTUREDynamodb Provisioned Throughput Structure
JSON STRUCTUREDynamodb Put Item Input Structure
JSON STRUCTUREDynamodb Put Item Output Structure
JSON STRUCTUREDynamodb Query Input Structure
JSON STRUCTUREDynamodb Query Output Structure
JSON STRUCTUREDynamodb Scan Input Structure
JSON STRUCTUREDynamodb Scan Output Structure
JSON STRUCTUREDynamodb Sse Specification Structure
JSON STRUCTUREDynamodb Stream Specification Structure
JSON STRUCTUREDynamodb Table Description Structure
JSON STRUCTUREDynamodb Tag Resource Input Structure
JSON STRUCTUREDynamodb Tag Structure
JSON STRUCTUREDynamodb Transact Get Items Input Structure
JSON STRUCTUREDynamodb Transact Get Items Output Structure
JSON STRUCTUREDynamodb Transact Write Items Input Structure
JSON STRUCTUREDynamodb Transact Write Items Output Structure
JSON STRUCTUREDynamodb Untag Resource Input Structure
JSON STRUCTUREDynamodb Update Item Input Structure
JSON STRUCTUREDynamodb Update Item Output Structure
JSON STRUCTUREDynamodb Update Table Input Structure
JSON STRUCTUREDynamodb Update Table Output Structure
JSON STRUCTUREDynamodb Update Time To Live Input Structure
JSON STRUCTUREDynamodb Update Time To Live Output Structure
JSON STRUCTUREScroll within the panel for all 69 ·
Examples 69
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 Projection Example
EXAMPLEDynamodb Query Input Example
EXAMPLEDynamodb Scan Input Example
EXAMPLEDynamodb Scan Output Example
EXAMPLEDynamodb Tag Example
EXAMPLEScroll within the panel for all 69 ·
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 4
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.
Serverless Application Backend
Use as the data layer for serverless architectures with Lambda and API Gateway.
Gaming Leaderboards
Store and query player data, session state, and leaderboards with consistent low latency.
IoT Data Storage
Ingest and query high-volume time-series data from IoT devices at scale.
E-Commerce Shopping Cart
Store shopping cart and session data with high availability and automatic scaling.
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.
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
Operate 1
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
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