Quasar
Quasar (QuasarDB, by Bureau 14) is a distributed, high-performance time-series database built for the hardest data problems, where precision, speed, scale, and accuracy must hold at the same time. It combines live ingestion, lossless-compressed historical retention, and heavy analytics on a single distributed system, deployed in cloud, edge, and appliance form across aerospace and defense, finance, industrial operations, and scientific research. QuasarDB exposes a JWT-authenticated REST API plus native client libraries in Python, Java, Go, .NET, C, PHP, R, and Ruby, and integrates with Grafana, Kafka, Spark, NATS, Prometheus, and Dask.
Quasar publishes 10 APIs on the APIs.io network, including cluster API, Login API, max-in-buffer-size API, and 7 more. Tagged areas include Company, Time Series Database, Database, Analytics, and Infrastructure.
Quasar’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, support, CLI, and 18 more developer resources.
Kin Score
APIs 10
Individual APIs this provider publishes, each with its own machine-readable definition.
Quasar cluster API
Operational statistics about the QuasarDB cluster
Quasar Login API
The Login API from Quasar — 1 operation(s) for login.
Quasar max-in-buffer-size API
The max-in-buffer-size API from Quasar — 1 operation(s) for max-in-buffer-size.
Quasar option API
The option API from Quasar — 2 operation(s) for option.
Quasar parallelism API
The parallelism API from Quasar — 1 operation(s) for parallelism.
Quasar Prometheus API
The Prometheus API from Quasar — 2 operation(s) for prometheus.
Quasar query API
The query API from Quasar — 1 operation(s) for query.
Quasar Status API
The Status API from Quasar — 2 operation(s) for status.
Quasar Tables API
The Tables API from Quasar — 1 operation(s) for tables.
Quasar tags API
The tags API from Quasar — 1 operation(s) for tags.
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MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
quasar-mcp.yml
MCP SERVERSecurity Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API