Amazon Nova
Amazon Nova is a new generation of state-of-the-art foundation models from Amazon that deliver a compelling combination of accuracy, speed, and cost efficiency. Amazon Nova models are accessible through Amazon Bedrock and support text, image, video, speech understanding and generation across a range of model types: Nova Premier (1M context), Nova Pro, Nova Lite, Nova Micro (text-only), Nova Canvas (image generation), Nova Reel (video generation), and Nova Sonic (speech).
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 Nova the way a machine reads it — 36 machine-readable artifacts across 3 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 Nova scores 51.7/100 (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 Amazon Nova
Each block below is one kind of artifact we hold for Amazon Nova. 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 3
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 Nova API
The Amazon Nova API provides programmatic access to Amazon Nova foundation models through Amazon Bedrock for text, image, and video generation, understanding, and reasoning task...
Amazon Nova Async API
Asynchronous invocation for long-running generation jobs.
Amazon Nova Inference API
Synchronous and streaming inference operations.
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 Nova on Amazon Bedrock Runtime 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.
Amazon Nova 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 Nova 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.
Multiple Model Types
Seven specialized models: Nova Premier (1M context), Nova Pro, Nova Lite, Nova Micro (text), Nova Canvas (image), Nova Reel (video), Nova Sonic (speech).
Multimodal Input
Supports text, images, video, documents (PDF, CSV, DOCX, XLS, HTML), and speech as input modalities.
Long Context Windows
Up to 1 million token context window in Nova Premier; 300k tokens in Nova Pro and Lite; 128k in Nova Micro.
Streaming Responses
All understanding models support streaming for real-time interactive applications.
Batch Inference
All understanding models support batch processing for high-volume offline workloads.
Fine-Tuning
Nova Pro, Lite, and Micro support fine-tuning for domain-specific customization.
Model Distillation
Nova Premier can serve as a teacher model for distillation into Pro, Lite, and Micro.
Bedrock Integration
Natively integrated with Amazon Bedrock Knowledge Bases, Agents, Guardrails, Evaluations, and Prompt Flows.
Scroll within the panel for all 8 ·
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 8
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.
Interactive Chat Interfaces
Build conversational AI applications with long context awareness using Nova Pro, Lite, or Micro.
Retrieval-Augmented Generation
Enhance knowledge retrieval accuracy by combining Nova models with Bedrock Knowledge Bases.
Agentic Applications
Build autonomous AI agents that reason and act using Nova models with Bedrock Agents.
Video and Document Analysis
Analyze video content and complex documents (PDF, DOCX, XLS) with Nova Pro and Premier.
Image Generation and Editing
Generate and edit high-quality images programmatically with Amazon Nova Canvas.
Video Generation
Create short video clips from text or image prompts using Amazon Nova Reel.
Voice Assistants
Build voice-enabled customer service and assistant applications with Nova Sonic speech model.
UI Workflow Automation
Automate UI interactions and screen navigation workflows using Nova vision capabilities.
Scroll within the panel for all 8 ·
Integrations 8
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Amazon Bedrock
Primary access method; all Nova models are served through the Bedrock InvokeModel and InvokeModelWithResponseStream APIs.
Bedrock Knowledge Bases
Connect Nova models to structured and unstructured data sources for RAG applications.
Bedrock Agents
Orchestrate multi-step agentic workflows with tool use and memory using Nova as the reasoning engine.
Bedrock Guardrails
Apply safety guardrails to Nova Premier, Pro, and Lite model outputs for content filtering.
Bedrock Prompt Flows
Build visual prompt chaining workflows connecting Nova models with other services.
Bedrock Evaluations
Evaluate Nova model performance on custom benchmarks and safety criteria.
Amazon S3
Store and access training data, batch inference inputs/outputs, and generated media artifacts.
AWS IAM
Control access to Nova model invocations through fine-grained IAM policies and Bedrock model access settings.
Scroll within the panel for all 8 ·
Resources
Every other property we hold for Amazon Nova — 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
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
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