OpenChat users can send messages to each other containing tokens such as ICP. Users can upgrade to Diamond membership to have access to extra or enhanced features.

OpenChat is a chat application running end-to-end on the Internet Computer blockchain.

CHAT tokenholders own and govern the protocol.

github

twitter

website

Social

OpenChat

# OpenChat Revenue Methodology

## 1. Overview

OpenChat revenue represents the USD value of fees collected from diamond membership payments on the OpenChat social platform. This metric captures subscription revenue from users purchasing premium memberships, which can be paid in either CHAT tokens or ICP tokens. The calculation processes payment events from OpenChat's application logs, converts token payments to USD using end-of-day price feeds, and aggregates to daily totals.

## 2. Data sources

- **OpenChat application events**: Event logs from OpenChat's application database containing user interactions and payment transactions
- **Diamond membership payment events**: Specific payment events logged when users purchase or renew premium memberships
- **External price data**: End-of-day price feeds from CoinGecko for CHAT and ICP token valuations
- **Token metadata**: Mapping data to convert token symbols to CoinGecko identifiers for price lookups

## 3. Step-by-step calculation

### Component A: Event extraction and deduplication
- **Purpose**: Extract and clean raw payment events from OpenChat application logs
- **Logic**: Raw events are sourced from OpenChat's event logging system and deduplicated based on timestamp, user identifier, event name, source system, and payload content. The deduplication uses row numbering to keep only the first occurrence of identical events, preventing double-counting of payments
- **Key fields**: Event `timestamp`, event `name`, `user` identifier, `source` system, and JSON `payload` containing payment details

### Component B: Diamond membership payment processing  
- **Purpose**: Filter and parse diamond membership payment events specifically
- **Logic**: Events are filtered to include only those with event name equal to `diamond_membership_payment`. The JSON payload is parsed to extract payment details including the payment amount, membership duration, token type, and payment characteristics. Token amounts are converted from their smallest unit representation by dividing by 1e8. Token symbols are mapped to CoinGecko identifiers for price conversion
- **Key fields**: Payment `amount` (converted from smallest units), membership `duration`, payment `token` type (CHAT or ICP), and derived `coingecko_id` for price lookups

### Component C: USD conversion and aggregation
- **Purpose**: Convert token payments to USD values and aggregate to daily totals  
- **Logic**: Token amounts are converted to USD using end-of-day price feeds from CoinGecko based on the mapped coingecko identifiers. Payments are aggregated to daily totals using timestamp truncation. Additional metadata is added including chain classification as Internet Computer, market sector as social, and business segment as social
- **Key fields**: Daily aggregated `fees` in USD, `chain_id` set to internetcomputer, and classification metadata

### Final aggregation
- **Combining components**: Daily fee totals are processed through standardization to ensure consistent schema and data quality
- **Currency conversion**: Token amounts converted to USD using end-of-day CoinGecko price feeds at the time of payment
- **Time aggregation**: Payments aggregated to daily boundaries using timestamp truncation to day level
- **Final calculation**: Fees are directly relabeled as revenue, representing the total USD value of diamond membership payments received each day. Missing days are filled with zero values to ensure complete time series data.

*This methodology was automatically generated by Token Terminal's methodology analyzer.*

fees * take_rate (illustrative — revenue is observed directly per project, not derived from take_rate)

Fee revenue retained after supply-side payouts. Before cost of revenue (e.g. L2 DA fees) and before operating expenses.

OpenChatCHAT

Revenue

Revenue

Competitive landscape