# Data Infrastructure & Indexing

<figure><img src="/files/XVR6G5bPLPVHXp78Cj3q" alt=""><figcaption></figcaption></figure>

### Equinox AI relies on a high-throughput indexing framework to unify and synchronise diverse data sources, both on-chain and off-chain. Each activity—from a swap on Uniswap to a Telegram message—is indexed with temporal precision and behavioural context.

***

#### Core Infrastructure Design

```
[Node Layer] → [Scraper Layer] → [Index Layer] → [Relational + Graph DBs] → [Serve Layer]
```

***

#### Indexing Strategy

• **On-Chain Indexing**:\
Real-time data pulled via WebSocket, JSON-RPC, and archive nodes. Tracked: token transfers, contract calls, bridge events, mixer interactions.

• **Off-Chain Indexing**:\
Rate-limited scrapers collect Telegram chat logs, pinned messages, X post metadata, usernames, and profile history. Snapshots stored at regular intervals.

• **Timestamp Normalisation**:\
All events are time-anchored using UTC+0 standard and stored in event trees for sequence querying.

***

#### Storage Format

```json
{
  "wallet": "0xabc...def",
  "event": "swap",
  "platform": "uniswap",
  "token_in": "ETH",
  "token_out": "USDC",
  "amount": "3.2",
  "timestamp": "2025-06-15T16:45:23Z",
  "linked_social": "@example"
}
```

***

#### Database Schema Types

| Type       | Purpose                                 |
| ---------- | --------------------------------------- |
| SQL Tables | Transaction indexing, swap history      |
| Graph DBs  | Wallet ↔ Social ↔ Token mapping         |
| Logs (S3)  | Scraper archives, flagged activity logs |
| KV Stores  | Realtime aliases, recent calls cache    |

***

#### Performance Benchmarks (Internal)

* Indexed over 1.2B on-chain events across 4 EVM chains.
* Normalised >12M Telegram messages.
* 400ms average query response time on wallet timeline lookups.
* 100K+ behavioural fingerprints stored in graph structure.

***

Our indexing model allows queries like:

```sql
SELECT * FROM wallet_activity
WHERE wallet = '0x123...def'
AND timestamp BETWEEN '2025-06-01' AND '2025-06-07';
```

Or:

```json
{
  "query": "Find all wallets who joined same 3 Telegram groups as @example and made >$1k swaps after X post"
}
```

**Equinox AI turns raw behavioural data into structured knowledge—pipelined, queryable, and scalable for DeFi, security, and market intelligence use cases.**


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