Your subscription model is
leaking revenue.
Drip plugs the holes.

Some customers blow through tiers and get forced into expensive upgrades. Others barely touch their subscription and feel guilty enough to cancel. Drip bridges the gap — let heavy users pay-as-they-go while keeping everyone else on predictable subscriptions.

Agent-native billing infrastructure where autonomous agents decide how software runs, spends, and scales

Drip Agent — Live Demo
Agent Active | Monitoring 247 users
Drip v0.8.2

Watch the agent catch a customer before the pricing cliff forces them to churn.

The Difference

Same user. Two different billing models.

See how Drip transforms the economics for users who don't fit neatly into subscription boxes.

Traditional Subscription
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Monthly subscription

$29.00

Days actually used

2 days

93% wasted. User feels guilty. Likely to churn.

With Drip

Credits consumed

$2.10

From deposit

$5.00

Usage breakdown

47 API calls $0.33
12 data exports $0.04
3 heavy computations $0.36
42 min compute time $1.37

Paid exactly what they used. No guilt. No churn.

The Problem

The subscription model was built for predictable usage.

Your customers aren't predictable. One might generate 50 reports today, 500 tomorrow, zero next week. Fixed tiers punish both the power user hitting limits and the occasional visitor paying for silence.

Revenue Leakage

The Pricing Cliff

User A uses 2,900 units this month. They're on the $50 tier that includes 3,000.

User B uses 3,100. They're forced onto the $100 tier — 70% more expensive for just 200 extra units.

Every month, users like User B churn at the cliff instead of paying a fair price for their actual usage.

User A Happy customer
2,900 / 3,000

Pays $50 — uses 97% of tier. Content.

User B Churn risk
3,100 / 3,000

Forced to $100 tier for 200 extra units. Feels ripped off.

User sits idle 23 days
Subscription paid $49.00
Value received $3.20
The Waste Problem

Subscription Guilt

Light users sit on $50/mo subscriptions they barely touch. They feel guilty. They rationalize canceling. "I'll resubscribe when I need it."

They rarely do. The churn isn't because your product is bad — it's because the billing model doesn't fit their usage.

The Core Innovation

Per-user containers that scale to zero

You deploy once. Drip automatically creates isolated containers for each user. They spin up on activity. Hibernate when idle. Resume instantly.

1. You Deploy

Deploy your app once via BuildWithLocus. Drip handles the rest.

2. User Deposits

Customer adds credits. Their personal container spins up instantly.

3. Usage Tracked

Every API call, every compute unit. Metered in real-time.

4. Auto-Lifecycle

Credits hit zero? Container hibernates. Top up? Resumes instantly. State preserved.

Users pay only for compute they actually consume. No monthly subscription waste. No idle infrastructure costs. No churn from users who forgot to cancel.

The Solution

Drip sits between your tiers and their usage

An autonomous agent that monitors every customer's actual consumption. When someone approaches a tier boundary, Drip intervenes — catching them before the cliff.

Real-time metering

Track every API call, every operation, every compute unit with one decorator. @drip.meter(cost=0.007)

Autonomous intervention

The agent detects tier-cliff risk. Offers pay-as-you-go top-ups. Suggests plan switches. Catches customers before they churn.

Smart billing recovery

Low balance warnings via email. Consumption receipts. Plan optimization suggestions. "Switch to monthly — you'd save $12 this period."

How It Works

A safety net for subscription billing

Drip layers onto your existing Stripe/Paddle/Chargebee setup. It doesn't replace your billing — it makes it smarter.

1

Plug into your API

Add the Drip SDK to your Python app. Use the @meter decorator on any function that costs compute.

# One decorator. Every call tracked.
@drip.meter(cost=0.007, event="api_call")
async def process_data(data: dict, user_id: str):
return await heavy_computation(data)
2

The agent watches

Drip polls user balances every 60 seconds. It tracks who is approaching tier limits. It knows projected monthly usage from patterns.

[09:14:32] Agent: user_7a3f hitting Pro tier limit (2,847/3,000)
[09:14:33] Agent: Projected: 3,200 units this month → $23 overage
[09:14:34] Action: Sending tier-cliff intervention email
3

Customers save. You retain.

User gets a helpful email: "You're tracking to exceed your plan. Switch to consumption billing for this month? You'll pay ~$17 instead of $50 for the next tier up."

+34%
Tier-cliff churn reduction
$12-40
Avg. save per caught user
Technical Integration

Works with your stack

Drip is middleware. It doesn't replace Stripe. It doesn't force you off your existing auth. It layers onto what you have.

Python SDK

Async-first. Decorator-based. 5-minute integration.

Any container platform

AWS, GCP, Fly, Railway, or BuildWithLocus.

Flexible persistence

SQLite for dev. Postgres for prod.

Self-hosted or managed

Run the agent yourself or let us host it.

integration.py
from drip import DripClient, DripConfig
client = DripClient(DripConfig(
api_key="drip_...",
))
# Meter any function
@client.meter(cost=0.007)
async def process(user_id: str, data: dict):
return await expensive_operation(data)
# Start the agent
client.start_polling()
Get Started

Stop losing customers at the cliff

Set up Drip in minutes. Connect your BWL account, drop in our SDK, and start catching tier-cliff churn today.

Free for up to 100 users. No credit card required.