Revenue Streams

Panorama Block operates an on-chain data analytics platform where users can access a variety of data sets, products and services.

Transaction Fees:

Transaction fees will be a key revenue stream for Panorama Block, supporting the platform’s sustainability and scalability. These fees will be generated from a variety of user actions, such as PANBLK token transfers, bot deployments, and data access.

1. PANBLK Token Transfers: Each PANBLK token transfer, whether buying, selling, staking, or transferring PANBLK tokens, will incur a 1.5% transaction fee. For example, if User A wants to transfer 1,000 PANBLK tokens to User B, a 1.5% transaction fee will apply. This means User A will pay an additional 15 PANBLK as a fee (1,000 × 1.5% = 15 PANBLK). As a result, User A’s account will be debited 1,015 PANBLK in total, while User B will receive 1,000 PANBLK. These fees contribute to the platform’s liquidity and support its operational costs.

2. Custom Data Access: Users and institutions who require access to premium datasets, analytics, and specialized tools will be charged for these services. This fee structure will cater to enterprises, developers, and academic institutions seeking advanced data insights. The revenue from data access will increase as more users engage with premium services.

Data Subscriptions

Subscription fees will form the backbone of Panorama Block’s revenue generation. These fees will be charged to users, institutions, and enterprises seeking ongoing access to exclusive datasets, APIs, and analytics services.

Tiered Subscriptions

Multiple subscription tiers will be available, each offering varying levels of access to datasets, tools, and support. To gather the advantages of different payment options, both fiat and token payments are accepted. Pricing will be structured as follows:

• Entrepreneur Package (Tier 1): Priced at $100 per month, this tier will provide small businesses, startups, and individual developers with essential datasets, basic analytics tools, and some advanced features.

• Enterprise Package (Tier 2): Priced at $500 per month, this tier will cater to larger institutions, providing extensive datasets, advanced analytics, customizable features, and dedicated support.

In addition, in order to encourage token payment, users paying entirely by PANBLK will receive a discount in subscription price, which follows the formula:

TokenSubscriptionPrice=FiatPrice (1−Discount)

For instance, assuming users paying entirely by PANBLK are receiving a 15% discount in the first year, then Entrepreneur Package would be priced at $85 worth of PANBLK per month, while Enterprise Package would be priced at $425 worth of PANBLK per month. The exact amount of PANBLK paid would be subject to real-time exchange rate between USD and PANBLK. The discount structure is designed to gradually decrease over time, encouraging early adoption while ensuring long-term token engagement.

Freemium Model

A freemium approach will allow individual users and small developers to access basic features at no cost. Users will be encouraged to upgrade to higher tiers for access to advanced datasets and premium tools.

In-App Purchases & Microtransactions

Panorama Block integrates in-app purchases as an additional revenue stream, allowing users to make one-time purchases for premium features, reports, and exclusive datasets.

Numerical Formula:

UIAP = UFree​ x PIAP

• UIAP ​= Number of users making in-app purchases

• Ufree = Total number of freemium users

• PIAP​ = Portion of freemium users who make IAPs

• ie. If there are 1,400 freemium users in Year 1, and 75% of them make an in-app purchase, then the number of freemium users who make IAPs is: 1,400 × 0.75 = 1050

RIAP ​= UIAP​ x Savg x 12mo

• RIAP​ = Annual revenue from IAPs

• Savg​ = Average spend per user on IAPs

• Calculated Annual revenue by times 12 months

• ie. If 1050 users make in-app purchases and the average spend per user is $50 per year, then the total annual revenue from IAPs is: 1050 × $50 × 12 = $630,000

RTotal​ =RIAP​ +RSubscription

• RSubscription= Annual revenue from subscriptions

• ie. The expected annual revenue from both subscription fee and IAPs would be $630,000 + $1,700,000 = 2,310,000

Revenue Model with different scenarios test:

Custom Enterprise Solutions:

Bespoke packages for large enterprises will be priced according to the scale of data usage and customization required. These will include advanced analytics tools and dedicated support for enterprise clients.

AI Model Licensing

Revenue will also be generated from the licensing of AI models created within the Panorama Block ecosystem. Developers will license their models to institutions and businesses within the platform, generating ongoing revenue for both creators and the platform itself.

• Licensing Fees: Panorama Block will charge a small fee for the licensing of AI models deployed on the platform. By the end of 2025, our internal development team is projected to create 10-20 AI models and agents annually using the platform’s data. Additionally, we expect external developers to build around 50-70 AI models per year as the ecosystem matures.

• Royalty Payments: AI model creators will receive royalties based on the usage of their models.

• Marketplace Revenue: The marketplace is expected to contribute significantly to revenue, with 667,000+ transactions anticipated by the end of 2026, considering an average transaction value of $10 and a 1.5% transaction fee. This growth will reflect increased activity from developers and third-party providers offering custom data solutions and consulting services through the platform.

This fee revenue complements other sources such as licensing fees and royalty payments, contributing to the platform’s overall financial sustainability and scalability. As the ecosystem grows, both the number of transactions and the average transaction value are expected to increase, further amplifying marketplace revenue.

Additional Revenue Streams

• Partnerships and Integrations: Panorama Block will form strategic partnerships with other protocols, enterprises, and academic institutions to offer white-labeled solutions, integrated data tools, and AI capabilities.

• Data Sales: The platform will sell non-sensitive aggregated data to third-party businesses, researchers, and analysts interested in Web3 trends, blockchain data, or AI-related metrics.