[ONGOING] OP-PIP-98: LaaS — Listing as a Service for Pyth Pro (Lazer)

Abstract

This Operational PIP proposes to:

  1. Authorize Douro Labs to offer Listing as a Service (LaaS) — a commercial model for Pyth Pro to list feeds requested by Protocols and Token Issuers

  2. Establish a 90/10 revenue share (DAO/Douro) for LaaS proceeds

  3. Formalize reporting requirements aligned with existing Pyth Pro cadence

LaaS formalizes an existing practice that has already generated $300,000+ in listing revenue since 2025. This proposal converts ad-hoc arrangements into a formal process and a predictable, recurring revenue stream for the DAO.

Rationale

Projects wanting certain tokens supported on Pyth Lazer submit requests through the Price Feed Council. In many cases, they pay one-time fees ($20,000–$30,000) to accelerate listing and ensure ongoing support (BIO, ICON).

CO-PIP-5 authorized Douro Labs to administer the Pyth Pro (Lazer) feed catalog, but there’s no formal framework for charging listing fees. This creates ambiguity for both Douro Labs and prospective customers.

Why this matters

  • For the DAO: Additional revenue stream with 90% flowing to Treasury

  • For customers: Clear terms, professional service

  • For the ecosystem: Faster listing turnaround, better feed coverage

Key Terms

  1. Authorization

Douro Labs is authorized to sell Pyth Pro (Lazer) feed listings as a commercial service (“LaaS”). This includes:

  • Marketing and selling feed listings

  • Negotiating contracts with customers

  • Setting pricing based on feed complexity and support requirements

  • Managing listing lifecycle (additions, maintenance, removals)

  1. Pricing

Douro Labs has discretion to negotiate pricing based on:

  • Feed complexity (e.g., single price vs. multiple data points)

  • Support requirements

  • Customer size and use case

  • Market conditions

Payment options:

  • Subscription — Monthly/annual; feed removed if/when payment lapses

  • One-time — Upfront fee covering listing and defined support period

Pricing builds on proven arrangements in the $20,000–$30,000 range for standard listings. Complex or high-priority feeds may command higher pricing.

  1. Revenue Distribution
Recipient Share
Pyth DAO Treasury 90%
Douro Labs 10%

Payments to Treasury shall be made monthly.

Rationale: For LaaS, Douro Labs provides operational support (feed maintenance, customer management) while the core value — Pyth’s aggregated price data from 120+ publishers — belongs to the network. The 90/10 split reflects this division of value.

  1. Service Scope

LaaS includes:

  • Listing and go-live on Pyth Lazer

  • Feed monitoring and maintenance

  • Customer support for listing-related issues

  • Standard Pyth Pro SLA coverage for end consumers of the feed

LaaS does NOT include:

  • Data access for the payor

  • Custom publisher arrangements

  • Guaranteed uptime for feeds without sufficient publisher coverage

Note: LaaS customers pay for assets to be made available through Pyth Pro (Lazer); they do not pay for access to consume those feeds. If a LaaS customer desires to consume the newly listed feed, it will need to enter into the Pyth Pro standard data-as-a-service agreement and purchase access to such feed.

  1. Reporting
Metric Description
Active subscriptions Number of LaaS customers
LaaS revenue Total revenue for the period
DAO share paid Amount transferred to Treasury
New listings Feeds added via LaaS

First LaaS report due with the next scheduled Pyth Pro report following approval of this op-pip.

  1. Feed Removal

If a LaaS subscription lapses:

  • Grace period: 30 days from missed payment

  • Notification: Customer notified at day 0, day 14, and day 25

  • Continuity: If the feed has active Pyth Pro consumers, Douro Labs may maintain it at discretion or negotiate transfer to another paying party

Implementation Plan

Phase Timing Action
1 Days 1-7 On-chain vote on OP-PIP-98
2 Upon passage Douro Labs authorized to offer LaaS
3 Ongoing Commercial operations begin
4 Next Pyth Pro report First LaaS metrics included
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