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e-commerce-and-crypto-payments-future
Blog

The Future of Subscriptions: Truly Usage-Based and Fair

Tiered subscription plans are a lazy tax on user engagement. This analysis explores how blockchain's verifiable metering and micropayments enable a fairer, granular, and more profitable model.

introduction
THE BILLING

The Subscription Model is Broken

Fixed-rate subscriptions create misaligned incentives and waste, but on-chain micro-payments enable truly granular, fair, and composable billing.

Fixed-rate subscriptions are misaligned. Users pay for unused capacity, while providers face unpredictable demand spikes. This model subsidizes heavy users and penalizes light ones, creating economic inefficiency for services like API calls or cloud compute.

On-chain micro-payments solve this. Protocols like Superfluid enable real-time, streaming payments per second of usage. This shifts the paradigm from pre-purchased blocks of time to pay-as-you-go granularity, aligning cost directly with value.

Composability unlocks new models. A user's payment stream for a Livepeer video transcode can be automatically split and routed to underlying infrastructure providers. This creates a modular billing stack superior to Stripe's bundled approach.

Evidence: Superfluid processes over $30M in streaming value monthly, proving demand for granular financial logic. This is the infrastructure for the next wave of SaaS.

thesis-statement
THE INFRASTRUCTURE SHIFT

Thesis: Granular, Verifiable Metering is Inevitable

Blockchain-based resource accounting will replace opaque subscription models with transparent, on-chain usage proofs.

Flat-rate subscriptions are a broken abstraction. They misalign incentives, forcing providers to cap usage and users to overpay. The web2 model of 'unlimited' tiers is a pricing fiction that collapses under real demand.

On-chain state is the ultimate audit log. Every API call, compute cycle, and storage byte creates a verifiable transaction. Protocols like Arbitrum and zkSync prove that granular L2 state diffs are already the core accounting unit.

The counter-intuitive shift is from billing to proving. The value moves from the service itself to the cryptographic proof of consumption. This mirrors how EigenLayer redefines security not as a service, but as a provably consumed resource.

Evidence: AWS's 2023 revenue was $90B, largely from metered services. The infrastructure for transparent, fraud-proof metering now exists via zk-proofs and optimistic verification, making the transition to usage-based pricing a technical inevitability, not a business choice.

SUBSCRIPTION ECONOMICS

The Cost of Imprecision: Legacy vs. On-Chain Models

A direct comparison of billing models, contrasting legacy subscription inefficiencies with the granular, verifiable fairness of on-chain, usage-based systems.

Core Metric / CapabilityLegacy SaaS Model (Netflix, Adobe)Hybrid Web2.5 Model (Stripe, Recurly)On-Chain Native Model (Superfluid, Sablier)

Billing Granularity

Per month / per user

Per month / per user

Per second

Revenue Leakage from Overpayment

15-30% (estimated)

15-30% (estimated)

0%

Settlement Finality & Dispute Window

30-90 days (chargeback risk)

30-90 days (chargeback risk)

< 12 seconds (Ethereum L1)

Automated Proration & Refunds

Manual API calls required

Real-Time Cash Flow for Providers

Programmable Conditional Logic

Limited (webhook-based)

Native Composability with DeFi (e.g., Aave, Compound)

Infrastructure Cost per Transaction

$0.30 + 2.9% (Stripe avg.)

$0.10 + 0.5% (platform fee)

< $0.01 (Ethereum L2)

deep-dive
THE PAYMENT MODEL

Architecting the Usage-Based Stack

Blockchain's granular settlement enables a shift from flat-rate SaaS subscriptions to verifiable, pay-per-use models.

Usage-based billing is the default. Legacy SaaS relies on opaque, flat-rate subscriptions that decouple payment from value. Blockchain's native micro-transactions and on-chain verification create a direct, auditable link between consumption and cost, making pay-per-use the logical economic primitive.

Fairness requires programmable logic. Simple per-call pricing fails for complex services like AI inference or RPC access. The solution is embedding custom billing logic into smart contracts or Layer 2 sequencers, enabling dynamic pricing based on compute units, data volume, or gas consumption.

The infrastructure is already live. Projects like Helius (RPC) and Alchemy's Usage Credits demonstrate this model. Their systems track usage off-chain but settle payments on-chain, providing users with transparent audit trails and eliminating billing disputes through cryptographic proof.

Evidence: Arbitrum's Stylus enables WASM-native smart contracts, allowing developers to port existing services and implement complex, verifiable billing logic directly on-chain, bypassing the need for centralized metering.

protocol-spotlight
THE FUTURE OF SUBSCRIPTIONS

Protocols Building the Pipes

The current SaaS model is broken, charging flat fees for variable usage. These protocols are engineering the infrastructure for truly fair, on-chain billing.

01

The Problem: The SaaS Tax on Idle Resources

You pay for a $100/month API key even when traffic is zero. This is a ~30% margin tax on startups and a massive inefficiency for the entire software economy.

  • Wasted Capital: Startups over-provision to avoid service disruption.
  • Misaligned Incentives: Providers profit from your lack of usage, not from delivering value.
  • Barrier to Entry: High fixed costs lock out long-tail, intermittent users.
~30%
Wasted Spend
$100B+
SaaS Market
02

The Solution: Gas Markets for Everything

Protocols like Superfluid and Sablier are building the settlement layer. Think of it as a gas market for API calls or compute cycles, where payment streams atomically execute with service delivery.

  • Real-Time Settlement: Pay-per-call with sub-second finality on L2s like Arbitrum or Optimism.
  • Capital Efficiency: No locked-up subscriptions; capital stays in your treasury until spent.
  • Composable Cashflows: Streams can be bundled, split, or used as collateral in DeFi.
<1s
Settlement
100%
Utilization
03

The Oracle Problem: Proving Off-Chain Work

How do you trustlessly verify an API call happened? This is the critical oracle challenge. Projects like API3 with first-party oracles and Chainlink Functions are building the verification layer.

  • First-Party Security: Service providers run their own oracle nodes, removing middleware risk.
  • Deterministic Proofs: Cryptographic attestations for compute outputs or data delivery.
  • Cost Transparency: Every micro-transaction is auditable on-chain, eliminating billing disputes.
~200ms
Proof Latency
$0.001
Avg. Tx Cost
04

The New Business Model: Usage-Based Aggregation

Protocols won't just process payments; they'll become usage-based aggregators. Imagine a "Uniswap for API liquidity" where providers compete on price per unit in real-time.

  • Dynamic Pricing: Spot markets for underutilized capacity (e.g., GPU compute, bandwidth).
  • Automated Procurement: Bots source the cheapest, compliant service for your task.
  • Revenue Share DAOs: Providers and aggregators share fees via transparent, on-chain governance.
10x
Liquidity Efficiency
-70%
Spot Cost
counter-argument
THE MISDIAGNOSIS

The Gas Problem Isn't the Problem

The real barrier to on-chain subscriptions is not gas fees but the fundamental mismatch between flat-rate pricing and variable, unpredictable on-chain execution costs.

Flat-rate pricing is broken for on-chain services because it forces providers to overcharge to hedge against unpredictable gas spikes. This creates a poor user experience where customers subsidize heavy users, a model that fails in a transparent, atomic environment like Ethereum or Arbitrum.

The solution is intent-based pricing where users pay for the computational resources they actually consume. Protocols like UniswapX and CowSwap pioneered this for swaps; subscription services must adopt similar models where the fee is the proven cost plus a margin, settled atomically with the service.

Account abstraction enables this shift by allowing gas sponsorship and batched transactions. A service like Stackup's Paymaster can sponsor a user's subscription transaction, with the user paying the service in a stablecoin, abstracting away the native token volatility and complexity.

Evidence: The failure of early flat-fee DeFi subscriptions proves the point. Services charging $10/month for unlimited swaps collapsed when a single arbitrage transaction during network congestion could cost $50 in gas, making the business model instantly insolvent.

takeaways
THE FUTURE OF SUBSCRIPTIONS

TL;DR for Builders and Investors

The $1T+ subscription economy is broken, built on fixed fees and opaque billing. On-chain usage data enables a new paradigm.

01

The Problem: The Fixed-Fee Tax

Users pay for unused capacity, while providers lose revenue from power users. This creates misaligned incentives and churn.\n- $15B+ in wasted subscription spend annually.\n- Churn rates of 20-40% for SaaS companies.\n- No granular pricing for API calls, compute, or storage.

20-40%
Avg. Churn
$15B+
Wasted Spend
02

The Solution: Micro-Transaction Oracles

Protocols like Superfluid and Sablier enable real-time, streaming payments. Pair this with Chainlink Functions or Pyth to meter off-chain usage.\n- Pay-per-API-call or per-GPU-second.\n- ~1-5 second settlement finality.\n- Enables composable "money legos" for billing.

~1-5s
Settlement
100%
Usage-Based
03

The Architecture: Intent-Based Settlement

Users express a spending limit and service intent. Systems like UniswapX and Across use solvers to find optimal fulfillment, applied to SaaS.\n- Gasless onboarding for non-crypto users.\n- Batch settlement reduces L1 fees by 10-100x.\n- Automatic refunds for unused allocations.

10-100x
Fee Reduction
Gasless
User Experience
04

The Killer App: DePIN Resource Markets

Fair subscriptions are the gateway for Decentralized Physical Infrastructure Networks. Think Render Network (GPU compute) or Helium (wireless) with precise, pay-as-you-go models.\n- Unlocks $100B+ asset utilization market.\n- Providers earn revenue proportional to actual use.\n- Creates liquid secondary markets for resource credits.

$100B+
Market Potential
Proportional
Provider Revenue
05

The Hurdle: Privacy-Preserving Proofs

You can't put all usage data on-chain. Need zero-knowledge proofs (ZKPs) via Aztec or RISC Zero to verify usage claims without exposing sensitive data.\n- Enables billing for enterprise/healthcare data.\n- ~100ms proof generation for micro-transactions.\n- Maintains regulatory compliance (GDPR, HIPAA).

~100ms
Proof Time
ZK-Proofs
Data Privacy
06

The Metric: Lifetime Value per Proof

Forget CAC. The new KPI is LTV/Proof: the net revenue from a user divided by the cost of cryptographically verifying their usage. This measures protocol efficiency.\n- Targets >1000x LTV/Proof ratio for viability.\n- Drives optimization in proof systems (zkSNARKs, zkSTARKs).\n- Aligns economic sustainability with technological progress.

>1000x
Target Ratio
LTV/Proof
New KPI
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The Future of Subscriptions: Truly Usage-Based and Fair | ChainScore Blog