Drip Billing Integration for Openclaw

A robust integration for tracking AI agent execution costs and metered usage via the Drip SDK.

lucas-309
v1.0.3
Mar 4, 2026
0
777
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install drip-billing

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 drip-billing 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 Drip Billing Integration?

The drip-billing skill allows developers to implement metered billing and usage tracking for AI-driven applications. By integrating the Drip SDK, users can monitor LLM token consumption, tool invocation costs, and full agent execution traces in real-time. It provides a secure way to attribute costs to specific customers or workflows without exposing sensitive data like raw prompts or credentials. Incorporating this into your Openclaw Skills library ensures seamless financial management of autonomous agents and LLM-powered services while maintaining a strict security posture.

Drip Billing Integration Use Cases

  • Recording total tokens consumed per LLM API call for precise billing.
  • Tracking the operational costs associated with specific tool or function invocations.
  • Logging comprehensive execution traces for autonomous agent runs.
  • Attributing multi-step workflow costs to individual customer accounts.
  • Monitoring API request volume for metered subscription models.

How Drip Billing Integration Works

  1. Initialize the Drip SDK using a public API key for secure telemetry emission.
  2. Identify the customer or workflow context for each tracking session.
  3. Record discrete usage events like token counts or tool execution durations using simple track calls.
  4. Utilize the run lifecycle API to track long-running agent processes from start to finish with streaming events.
  5. Review aggregated usage data and costs within the Drip dashboard for billing and analytics.

Drip Billing Integration Setup

Install the Drip Node.js SDK via npm:

npm install @drip-sdk/node

Configure the environment with your public API key and base URL:

export DRIP_API_KEY=pk_live_your_key_here
export DRIP_BASE_URL=https://api.drip.com

Drip Billing Integration Data Schema & Taxonomy

The skill organizes usage data based on customer identifiers and event types. Metadata is sanitized to exclude PII.

Field Description Type
customerId Unique identifier for the billed user String
meter The name of the usage metric (e.g., llm_tokens) String
quantity Numerical value of the usage Number
eventType Category of event (llm.call, tool.call, agent.plan) String
status Success or failure state of the event String
duration Time taken for tool or run execution Number (ms)

Drip Billing Integration Advanced Features

  • Real-time streaming execution support for monitoring long-running agent tasks.
  • Automated LangChain integration via the DripCallbackHandler for zero-config tracking.
  • Helper patterns to wrap tool call logic, automatically logging success, failure, and latency metrics.
  • Flexible metadata allowlisting to ensure security and privacy compliance.
  • Support for both public (pk_) and secret (sk_) keys depending on the required privilege level for admin operations.

SKILL.md


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