Hydrolix
Hydrolix is a real-time log analytics and observability platform built as a streaming data lake: it decouples ingest, storage, and compute so teams can retain full-fidelity log and event data cost-effectively for 15+ months while still serving low-latency queries and dashboards. Data is ingested through an HTTP Streaming API, Amazon Kinesis / Data Firehose, S3 autoingest, and OpenTelemetry, then queried with the ClickHouse SQL dialect via a Query API, MCP server, and connectors for Grafana, Trino, Spark/Databricks, and Splunk. Hydrolix deploys in the customer's own cloud (BYOC on AWS/GCP/Kubernetes) and exposes a Config API, Stream API, and Query API, a hdxcli command-line tool, and an official Model Context Protocol server.
Hydrolix publishes 3 APIs on the APIs.io network. Tagged areas include Company, Observability, Log Analytics, Data Lake, and Streaming.
Hydrolix’s developer surface includes documentation, API reference, signup flow, CLI, authentication, and 12 more developer resources.
API Rating
APIs
Hydrolix Config API
Configure and manage a Hydrolix cluster — orgs, projects, tables, transforms, functions, jobs, and service accounts.
Hydrolix Stream API
Real-time HTTP streaming data ingestion into Hydrolix tables.
Hydrolix Query API
Execute ClickHouse SQL queries against Hydrolix and retrieve results.
MCP Servers
hydrolix-mcp.yml
MCP SERVERResources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Company 1
The organization behind the API