> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ratex.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Technical Details

> Scoring engine, data sources, job metadata, and important notes

## Technical Details (Public)

**Scoring Engine:** RXAI Model

**Data sources (non-exhaustive):**

* Market data aggregators: current prices, market cap, volume, rank, supply
* Market data aggregators: ATH/ATL and historical context
* Protocol analytics: revenue, fees, active users
* Tokenomics trackers: unlock schedules
* Blockchain explorers: holders, distributions, smart contracts
* DeFi TVL trackers
* Public team profiles and developer activity sources
* Public social/community metrics sources

## Job ID Format

```
{type}_{timestamp}_{random_string}
Example: posttge_1737123456789_abc123xyz
```

## Metadata Fields

* `job_id`: Unique identifier
* `started_at`: ISO 8601 timestamp
* `completed_at`: ISO 8601 timestamp
* `execution_time_seconds`: Total processing time

## Important Notes

1. **Automated Data Collection**: The API collects and cross-checks relevant public data for each request.
2. **Real-Time Analysis**: Data is collected in real-time during each request.
3. **Data Accuracy**: If conflicting information is found, the engine uses the most recent and most reliable source.
4. **Rate Limits**: Consider request throttling on your end for production usage.