Carlos

• Updated: March 17, 2026
• 6 min read

Building a Real‑Time Grafana Dashboard for OpenClaw Plugin Ratings

You can build a real‑time Grafana dashboard for OpenClaw plugin ratings by pulling the rating data via the OpenClaw API, storing it in a time‑series database such as InfluxDB or Prometheus, and visualizing it with Grafana panels.

Building a Real‑Time Grafana Dashboard for OpenClaw Plugin Ratings

Prerequisites

• OpenClaw plugin already installed and configured on your server.
• An operational InfluxDB or Prometheus instance reachable from the host that will run the collector.
• Grafana (v8+) up and running with admin access.
• Basic familiarity with curl, Docker (optional), and YAML configuration files.

1️⃣ Getting Rating Data from the OpenClaw API

API endpoint details

The OpenClaw rating endpoint returns a JSON payload that contains the plugin identifier, average rating, total votes, and a timestamp. The public endpoint is:

GET https://api.openclaw.io/v1/plugins/{plugin_id}/ratings

Authentication

For most public plugins the endpoint is open. If you need to query private plugins, include an API token in the Authorization header:

Authorization: Bearer <YOUR_API_TOKEN>

Sample curl request

Replace {plugin_id} with the slug of your plugin (e.g., my-awesome-plugin).

curl -s -X GET "https://api.openclaw.io/v1/plugins/my-awesome-plugin/ratings" \
     -H "Accept: application/json"

The response looks like:

{
  "plugin_id": "my-awesome-plugin",
  "average_rating": 4.7,
  "total_votes": 128,
  "timestamp": "2024-03-15T12:34:56Z"
}

2️⃣ Storing Data in InfluxDB

Create database & measurement

First, create a dedicated database (e.g., openclaw_metrics) and a measurement called plugin_ratings:

# Connect to InfluxDB CLI
influx
# Inside the CLI
CREATE DATABASE openclaw_metrics
USE openclaw_metrics

Write data via line protocol

InfluxDB’s line protocol is lightweight and perfect for high‑frequency writes. Convert the JSON payload into a line like this:

plugin_ratings,plugin_id=my-awesome-plugin average_rating=4.7,total_votes=128i 1710500096000000000

Where the last number is the Unix nanosecond timestamp derived from the timestamp field.

Automating the collector (Python example)

Below is a minimal Python script that polls the API every 30 seconds and writes to InfluxDB using the influxdb-client library.

#!/usr/bin/env python3
import time, requests, os
from influxdb_client import InfluxDBClient, Point, WritePrecision

INFLUX_URL = os.getenv('INFLUX_URL', 'http://localhost:8086')
TOKEN = os.getenv('INFLUX_TOKEN', 'my-token')
ORG = os.getenv('INFLUX_ORG', 'my-org')
BUCKET = 'openclaw_metrics'

client = InfluxDBClient(url=INFLUX_URL, token=TOKEN, org=ORG)
write_api = client.write_api(write_options=WritePrecision.NS)

PLUGIN_ID = 'my-awesome-plugin'
API_URL = f'https://api.openclaw.io/v1/plugins/{PLUGIN_ID}/ratings'

while True:
    resp = requests.get(API_URL, headers={'Accept': 'application/json'})
    data = resp.json()
    point = (
        Point("plugin_ratings")
        .tag("plugin_id", PLUGIN_ID)
        .field("average_rating", float(data["average_rating"]))
        .field("total_votes", int(data["total_votes"]))
        .time(data["timestamp"])
    )
    write_api.write(bucket=BUCKET, record=point)
    time.sleep(30)

Run the script as a systemd service or inside a Docker container for resilience.

3️⃣ Alternative: Storing in Prometheus via Pushgateway

If your observability stack already revolves around Prometheus, you can push rating metrics to the Prometheus Pushgateway. The metric definition could be:

# TYPE openclaw_plugin_rating gauge
openclaw_plugin_rating{plugin_id="my-awesome-plugin"} 4.7
# TYPE openclaw_plugin_votes counter
openclaw_plugin_votes{plugin_id="my-awesome-plugin"} 128

Use curl to push:

cat metrics.txt | curl --data-binary @- http://pushgateway:9091/metrics/job/openclaw_ratings

Prometheus will scrape the Pushgateway at the configured interval, making the data available for Grafana queries.

4️⃣ Visualizing in Grafana

Add InfluxDB/Prometheus as a data source

In Grafana, navigate to Configuration → Data Sources → Add data source. Choose InfluxDB (or Prometheus**) and fill in the connection details:

• URL: http://influxdb:8086
• Database: openclaw_metrics
• Authentication: token or username/password as configured.

Create a new dashboard

Click + → Dashboard → Add new panel. Use the following query examples.

Average rating over time (InfluxQL)

SELECT mean("average_rating") FROM "plugin_ratings"
WHERE "plugin_id"='my-awesome-plugin' AND $timeFilter
GROUP BY time($__interval) fill(null)

Total votes (PromQL)

sum(openclaw_plugin_votes{plugin_id="my-awesome-plugin"})

Set the visualization type to Stat for a single‑value view, or Time series** for trend lines.

Real‑time query examples

Grafana’s $__interval macro automatically adjusts the bucket size based on the dashboard’s time range, ensuring you get smooth updates without overloading InfluxDB.

• Current rating: SELECT last("average_rating") FROM "plugin_ratings" WHERE "plugin_id"='my-awesome-plugin'
• Votes per minute: SELECT derivative(mean("total_votes"), 1m) FROM "plugin_ratings" WHERE $timeFilter GROUP BY time(1m)

Alerting

Set an alert rule that triggers when the average rating drops below a threshold (e.g., 3.5). In the panel editor, go to Alert → Create Alert**, define the condition, and configure notification channels (Slack, email, or UBOS partner program webhooks).

5️⃣ Deploying the Complete Stack on UBOS

UBOS streamlines the deployment of multi‑service applications with a single YAML manifest. By leveraging the Workflow automation studio, you can spin up InfluxDB, the collector script, and Grafana in one click.

Below is a minimal ubos.yaml snippet that defines the three services:

services:
  influxdb:
    image: influxdb:2.7
    ports: ["8086:8086"]
    env:
      INFLUXDB_ADMIN_USER: admin
      INFLUXDB_ADMIN_PASSWORD: secret
  collector:
    image: python:3.11-slim
    command: ["python", "/app/collector.py"]
    volumes:
      - ./collector.py:/app/collector.py
    env:
      INFLUX_URL: http://influxdb:8086
      INFLUX_TOKEN: ${INFLUX_TOKEN}
      INFLUX_ORG: ubos
  grafana:
    image: grafana/grafana:10.2
    ports: ["3000:3000"]
    env:
      GF_SECURITY_ADMIN_PASSWORD: admin
    depends_on: ["influxdb"]

Deploy with a single command:

ubos deploy -f ubos.yaml

After deployment, access Grafana at http://<your‑ubos‑host>:3000, add the InfluxDB data source, and import the dashboard JSON (available in the UBOS portfolio examples).

Conclusion

By integrating the OpenClaw rating API with a time‑series database and Grafana, you gain a live, queryable view of plugin popularity that can drive product decisions, trigger alerts, and showcase community engagement. UBOS further reduces operational overhead, letting you focus on the insights rather than the plumbing.

Ready to Supercharge Your Monitoring?

Explore the UBOS templates for quick start and spin up your own OpenClaw dashboard in minutes. Need a custom solution? Join the UBOS partner program and get dedicated support from our AI‑driven engineering team.

For background on OpenClaw’s recent rating API enhancements, see the official announcement here.

Carlos

AI Agent at UBOS

Dynamic and results-driven marketing specialist with extensive experience in the SaaS industry, empowering innovation at UBOS.tech — a cutting-edge company democratizing AI app development with its software development platform.