Summary
We propose formalizing Listing as a Service (LaaS) — a commercial model where projects may pay (via subscription or one-time fee) to have their price feeds listed and supported on Pyth Lazer.
This formalizes an existing practice: since 2025, the Pyth DAO has received over $300,000 in listing payments through the Price Feed Council. This interest has continued into 2026, with Douro Labs receiving requests for multiple listings into the Lazer data system. LaaS would formalize this revenue stream into a predictable, recurring model while giving Douro Labs the operational flexibility to scale the Pyth Pro (Lazer) feed catalog efficiently.
Background
What’s happening today:
Projects wanting their 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. This has generated meaningful revenue as $3,000+ have been accumulated by the Pyth DAO so far.
The gap:
While CO-PIP-5 authorized Douro Labs to manage the Lazer feed catalog, there’s no formal framework for charging listing fees. This creates ambiguity for both Douro Labs and prospective customers.
What we’re proposing:
Explicit authorization for Douro Labs to sell Lazer listings as a subscription service, with clear terms and revenue sharing.
Proposal
- Authorize Douro Labs to Sell LaaS Subscriptions
Douro Labs would be authorized to:
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Market and sell price feed listings on Pyth Lazer
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Negotiate subscription contracts with customers
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Set pricing based on feed complexity and support requirements
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Manage listing lifecycle (additions, maintenance, removals)
- Pricing
Pricing builds on successful prior arrangements, where listings have typically closed in the $20,000–$30,000 range (see Background above). Douro Labs has discretion to negotiate pricing based on:
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Feed complexity (single price vs. multiple data points)
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Support requirements
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Customer size and use case
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Market conditions
Payment Options:
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Monthly subscription — Ongoing support, feed removed if payment lapses
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One-time payment — Upfront fee covering listing and support period
Both models are available. Douro Labs negotiates the structure that best fits each customer’s needs.
Continuity: Existing Pyth Pro subscribers using a feed are handled case-by-case to ensure service continuity if the listing customer churns.
- Revenue Share
| Recipient | Share |
|---|---|
| Pyth DAO Treasury | 90% |
| Douro Labs | 10% |
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.
- Service Scope
What LaaS includes:
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Listing and go-live on Pyth Lazer
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Feed monitoring and maintenance
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Customer support for listing-related issues
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Standard Pyth Pro SLA coverage for the feed
What LaaS does NOT include:
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Data access for the payer (requires separate Pyth Pro subscription)
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Custom publisher arrangements
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Guaranteed uptime for feeds without sufficient publisher coverage
Note: LaaS customers pay for their asset to be available on Lazer — they may not consume the data themselves. Example: A protocol pays to list their governance token so DeFi integrators can access the price feed.
Reporting
LaaS revenue will be included in Douro Labs’ monthly reporting to the DAO, alongside Pyth Pro metrics:
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Number of active LaaS subscriptions
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Total LaaS revenue
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DAO share paid
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New listings added (if approved by the customer)
Open Questions
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Pricing floor/ceiling: Should the DAO set guardrails on pricing, or leave it fully to Douro’s discretion?
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Reporting cadence: Monthly (like Pyth Pro) or quarterly?
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Grace period: How long before a feed is removed for non-payment? 30 days? 60 days?
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Bundling: Should LaaS include Pyth Pro access for the paying customer, or keep them separate?
Next Steps
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Community feedback on this proposal
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Address open questions
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If supported, draft formal OP-PIP for vote