MetricHub Multi-Tenant Metrics Platform for Openclaw

MetricHub is a multi-tenant SaaS metrics platform featuring query building, ECharts visualization, and dashboard orchestration optimized for Openclaw Skills.

bettermen
v1.0.0
Jun 11, 2026
0
463
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install metric-platform

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install metric-platform using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is MetricHub Multi-Tenant Metrics Platform?

MetricHub is a robust, multi-tenant SaaS metrics platform built directly on top of the Aloudata CAN Gateway semantic layer API. It bridges the gap between raw database schemas and analytical user exploration by serving as a unified metrics hub. Developers can use the platform's standardized metric registry to discover, organize, and execute reliable queries against complex business metrics such as nested ratios, spatial comparisons, and dynamic timelines.

By integrating MetricHub with Openclaw Skills, engineering teams can deploy self-service data discovery pipelines effortlessly. Instead of writing custom metrics processing code for each business unit, users get semantic routing, automated chart recommendation engine, and drag-and-drop workspace layouts out-of-the-box. Security is natively integrated, allowing individual workspaces to securely configure unique gateway credentials and access controls under a unified software deployment.

MetricHub Multi-Tenant Metrics Platform Use Cases

  • Self-Service Metric Discovery: Business analysts can explore, search, and bookmark business metrics across isolated catalogs without engineering support.
  • SaaS Client Metadata Partitioning: Distribute dynamic metrics dashboard views to distinct customer accounts or internal units under strict database/workspace separation.
  • Automated Data Presentation: Transform query results directly into optimized visual components like line charts, pie charts, scatter plots, and KPI cards with zero manually coded configuration.
  • Custom Interactive Dashboard Assemblies: Seamlessly organize multiple KPI widgets into a visual canvas that features dynamic resizing and customized automatic refresh periods.

How MetricHub Multi-Tenant Metrics Platform Works

  1. Navigate Workspace Catalogs: Users explore metrics and dimensions natively via the UI explorer, which queries separated workspace structures.
  2. Formulate Query Logic: Queries are parsed as JSON configurations using highly optimized structural indicators (like relative timestamps calculated dynamically via database calls rather than hard-coded text).
  3. Secure Workspace Resolution: Queries are transmitted via MetricHub's secure backend proxy, which appends specific workspace credentials dynamically before routing requests to the Aloudata CAN Gateway API.
  4. Dynamic Visual Formatting: Executed metric values are processed through a recommendation system to automatically select the most effective ECharts representation.
  5. Grid Layout Deployment: Selected charts are mounted into customizable interactive dashboards built with custom layouts, auto-refresh configurations, and fullscreen display modes.

MetricHub Multi-Tenant Metrics Platform Setup

Workspace Configuration API

Configure workspace credentials for Aloudata CAN Gateway integration:

curl -X POST https://your-metrichub-domain.com/api/v1/workspaces/{workspace_id}/gateway/config -H "Authorization: Bearer YOUR_JWT_TOKEN" -H "Content-Type: application/json" -d '{"api_key": "YOUR_GATEWAY_API_KEY", "api_base_url": "https://gateway.aloudata.com"}'

MetricHub UI Routes

Ensure standard routes are mapped inside your frontend application layout:

  • Metrics Catalog: /:workspaceSlug/catalog
  • Query Workbench: /:workspaceSlug/query
  • Dashboards: /:workspaceSlug/dashboards
  • Workspace settings: /:workspaceSlug/settings/gateway
  • Query History: /:workspaceSlug/query/history

MetricHub Multi-Tenant Metrics Platform Data Schema & Taxonomy

Fast Calculation Syntax Schema

Feature Template Syntax Supported Options
Temporal Comparison {metric}__sameperiod__{offset}__{method} Offset: dod, wow, mom, qoq, yoy
Method: value, growthvalue, growth
Proportion (Ratio) {metric}__proportion__{dimension} Dimension: Leave blank for global, or specify a dimension for group levels.
Ordinal Ranking {metric}__{type}__{order}__{dimension} Type: rank, rankDense, rowNumber
Order: desc, asc
Temporal Bounds {metric}__period__{duration} Duration: 7d, 3w, 6m, ytd, qtd, mtd

Chart Recommendations Rules

Data Signature Chart Format ECharts Standard Type
Time series (Single dimension) Line Chart line
Time series (Multi-metric arrays) Area Chart area
Few comparative dimensions Bar Chart bar
Proportional metric ratios Pie Chart pie
Double-variable correlation metrics Scatter Plot scatter
Rank grids and analytical indices List Ranking Table table
Singular scalar consolidations Metric Card metric_card

MetricHub Multi-Tenant Metrics Platform Advanced Features

  • 9 Strict Query Rules Validation: Implements a zero-error compiler that flags common logic issues (such as proportion errors, timestamp hardcoding, and ranking layout issues) before network execution, resolving to fallback queries if rules are violated.
  • 9 Conversational Semantic Disambiguations: Reconciles complex conceptual user queries like 'daily averages' versus 'monthly calculations', ensuring calculations match analytical expectations.
  • Comprehensive Multi-Tenant Roles: Integrates secure authorization contexts (admin, editor, viewer) utilizing JWT bearer tokens mapped uniquely across segmented workspace configurations.
  • 25 Anti-Pattern Audit Checks: Programmatically intercepts standard querying mistakes (including casing errors, double temporal offsets, and dimensional mismatches) to optimize data performance.

SKILL.md


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