Amazon FinSpace
Amazon FinSpace is a data management and analytics service built specifically for the financial services industry. It reduces the time you spend on time-consuming data preparation tasks and makes it easy for analysts to access and analyze petabytes of financial data with a few clicks.
Amazon FinSpace publishes 6 APIs on the APIs.io network, including Environments API, Kdb Clusters API, Kdb Databases API, and 3 more. Tagged areas include Capital Markets, Data Analytics, Data Management, and Financial Services.
The Amazon FinSpace catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.
Amazon FinSpace’s developer surface includes authentication, developer portal, documentation, support, engineering blog, developer console, signup flow, and 15 more developer resources.
Kin Score
APIs 6
Individual APIs this provider publishes, each with its own machine-readable definition.
Amazon FinSpace Environments API
Manage FinSpace environments
Amazon FinSpace Kdb Clusters API
Manage kdb compute clusters
Amazon FinSpace Kdb Databases API
Manage kdb databases
Amazon FinSpace Kdb Environments API
Manage Managed kdb Insights environments
Amazon FinSpace Kdb Users API
Manage kdb users
Amazon FinSpace Tagging API
Tag FinSpace resources
Postman Collections 6
Ready-to-run Postman collections for exercising this provider's APIs.
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Amazon FinSpace API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Amazon Finspace Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Amazon Finspace Finops
FINOPSFeatures 7
Notable capabilities this provider offers.
Managed kdb Environment
Fully managed kdb+ (kdb+/q) compute infrastructure with HDB, RDB, Gateway, and Tickerplant cluster types.
Financial Analytics Workspace
Isolated FinSpace environments with preconfigured tools for financial data ingestion, preparation, and analysis.
Petabyte-Scale Data
Store and query petabytes of financial time-series data including tick, OHLCV, and alternative datasets.
kdb+ Cluster Autoscaling
Configure auto-scaling policies for kdb clusters to match intraday compute demand.
Multi-AZ Clusters
Deploy kdb clusters across multiple availability zones for high availability.
IAM-Integrated Users
Map FinSpace kdb users to IAM roles for fine-grained permission control.
SageMaker Integration
Access financial data from FinSpace environments directly within Amazon SageMaker Studio.
Scroll for all 7
Semantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Amazon Finspace Context
JSON-LDSpectral Rules 2
Spectral governance rulesets for linting and validating these APIs.
Amazon FinSpace API Rules
SPECTRALAmazon FinSpace API Rules
SPECTRALJSON Schema 5
Standalone JSON Schema definitions for this provider's data models.
Environment
JSON SCHEMAKxCluster
JSON SCHEMAKxDatabase
JSON SCHEMAKxEnvironment
JSON SCHEMAKxUser
JSON SCHEMAJSON Structure 5
JSON Structure definitions describing this provider's data shapes.
Amazon Finspace Environment Structure
JSON STRUCTUREAmazon Finspace Kx Cluster Structure
JSON STRUCTUREAmazon Finspace Kx Database Structure
JSON STRUCTUREAmazon Finspace Kx Environment Structure
JSON STRUCTUREAmazon Finspace Kx User Structure
JSON STRUCTUREExamples 5
Example request and response payloads for these APIs.
Security Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 5
What developers build with this provider.
Tick Data Management
Ingest, store, and query high-frequency market tick data (trades, quotes, order books) using kdb+ clusters.
Risk Analytics
Run intraday risk calculations and post-trade analytics on financial time-series data at low latency.
Quantitative Research
Provide quants and data scientists with managed kdb environments for backtesting and strategy development.
Regulatory Reporting
Aggregate and transform trade and order data for regulatory submissions and compliance.
Alternative Data Processing
Ingest and correlate alternative datasets (news, satellite, ESG) with market data for signal generation.
Resources
Get Started 3
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 3
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
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