Drip OpenClaw Billing

Instrument OpenClaw agents with Drip for run timelines, tool-call usage metering, and customer-level billing attribution.

Install (copy/paste)

clawhub install drip-openclaw-billing

> Use slug only in CLI (drip-openclaw-billing), not owner/slug.

What this gives you

• Per-run billing traceability (start_run → events → usage → end_run)
• Metered usage by unit (tokens, tool calls, API calls, compute time)
• Customer/project-level cost and usage visibility in Drip
• Idempotent writes for retry-safe telemetry

Integration paths

1. Recommended: DRIP_API_KEY with /v1/* endpoints for full billing + telemetry control.
2. Lightweight: OPENCLAW_IDENTITY_TOKEN with /openclaw/* endpoints.

Security rules

• Use least-privilege runtime keys (prefer scoped telemetry key).
• Never send raw prompts, raw model outputs, credentials, or PII.
• Send sanitized metadata only (hash content fields like queryHash when needed).
• Emit stable idempotency keys for all writes.
• Validate payload schemas in staging before production rollout.

Quickstart (Node.js)

import { OpenClawBilling } from '@drip-sdk/node/openclaw';

const billing = new OpenClawBilling({
  apiKey: process.env.DRIP_API_KEY,
  customerId: 'cus_123',
  workflowId: process.env.DRIP_WORKFLOW_ID ?? 'wf_openclaw',
});

await billing.withRun({ externalRunId: 'openclaw_req_456' }, async ({ runId }) => {
  await billing.withToolCall({ runId, provider: 'brave', endpoint: '/res/v1/web/search' }, async () => {
    // tool execution
  });
});

Quickstart (Python)

from drip import Drip
import os

client = Drip(api_key=os.environ['DRIP_API_KEY'])
run = client.start_run(customer_id='cus_123', workflow_id='wf_openclaw', external_run_id='openclaw_req_456')
client.emit_event(run_id=run.id, event_type='tool.call', quantity=1, metadata={'provider': 'brave'})
client.track_usage(customer_id='cus_123', meter='brave_api_calls', quantity=1, metadata={'runId': run.id})
client.end_run(run.id, status='COMPLETED')

Load detailed API docs

See references/API.md for:

• endpoint shapes
• run/event/usage lifecycle
• pricing units and rate-limit notes
• error handling patterns