Indexing Co vs Covalent (GoldRush)
How Indexing Co's custom pipeline platform compares to Covalent's unified multi-chain REST API.
You hit the Covalent API, get token balances across ten chains in one call, and ship the feature in an afternoon. Three months later, you need to filter by a field their endpoint doesn't expose, reshape the response to match your data model, and stream updates to your database in real time. You're now writing a workaround around someone else's schema.
Architecture
Covalent's core proposition is simplicity across chains: one API key, one SDK, and a single path parameter to switch between 100+ blockchains. Their pre-built endpoints cover token balances, transactions, NFTs, DEX activity, and more. A TypeScript and Python SDK wraps the REST layer, and a WebSocket streaming API (beta) adds real-time capabilities. They also run an MCP server for AI agent integrations.
The model works well when Covalent's endpoint coverage matches what you need. Data is pre-structured, chain-switching is trivial, and onboarding takes minutes. The constraint is that you're working within their schema: the shape of the data is defined by Covalent, not by you.
Indexing Co starts from the other direction. You define what data you want, write TypeScript transforms that shape it, and the pipeline delivers it to your infrastructure. PostgreSQL, BigQuery, or webhook endpoint, your choice. The sub-500ms block-to-storage on dedicated infrastructure means events arrive quickly, and the schema is entirely yours from the first transform.
There's no pre-built query interface. Indexing Co is the delivery layer: it feeds your database or triggers your services. What you do with the data after that is up to you.
Feature Comparison
| Feature | Covalent (GoldRush) | Indexing Co |
|---|---|---|
| Architecture | Unified REST API | Custom pipeline to your infrastructure |
| Schema | Covalent-defined endpoints | Fully custom TypeScript transforms |
| Data destination | API response (your app calls it) | PostgreSQL, BigQuery, webhooks |
| Block-to-database delivery | API response only | sub-500ms (dedicated infra) |
| Chains | 100+ | 100+ |
| Onboarding speed | Minutes (one API key) | Pipeline configuration required |
| Multi-chain | Single path parameter | Native multi-chain pipeline definition |
| Custom data shapes | Not available, you get Covalent's model | Full control via TypeScript |
| Webhook delivery | Not available | Yes, for event-driven architectures |
| Token component | CXT token (enterprise friction) | No token dependency |
| Pricing model | API call-based | Pipeline-based |
| Best for | Quick access to structured chain data | Production pipelines with custom schemas |
When to Use Each
You need fast access to standard blockchain data across many chains and don't need to customize the schema. Token balances, wallet history, NFT metadata, and DEX activity are available out of the box. If your product can work with Covalent's data model and you want to avoid building indexing infrastructure, it's a quick path to chain data.
Your app needs data shaped to your own model, delivered directly to your database or services. Custom transforms, webhook triggers, and direct DB delivery mean the pipeline fits your architecture, not the other way around. If you've hit the ceiling of what pre-built API endpoints can express, Indexing Co is the step up.