Algorand transaction subscription / indexing

This library a simple, but flexible / configurable Algorand transaction subscription / indexing mechanism. It allows you to quickly create Node.js or JavaScript services that follow or subscribe to the Algorand Blockchain.

npm install @algorandfoundation/algokit-subscriber

Documentation

Quick start

// Create subscriber
const subscriber = new AlgorandSubscriber(
  {
    filters: [
      {
        name: 'filter1',
        filter: {
          type: TransactionType.pay,
          sender: 'ABC...',
        },
      },
    ],
    /* ... other options (use intellisense to explore) */
  },
  algod,
  optionalIndexer,
)

// Set up subscription(s)
subscriber.on('eventNameFromOptions', async (transaction) => {
  // ...
})
//...

// Either: Start the subscriber (if in long-running process)
subscriber.start()

// OR: Poll the subscriber (if in cron job / periodic lambda)
subscriber.pollOnce()

Key features

• Notification and indexing - You have fine-grained control over the syncing behaviour and can control the number of rounds to sync at a time, the pattern of syncing i.e. start from the beginning of the chain, or start from the tip; drop stale records if your service can't keep up or keep syncing from where you are up to; etc.
• Low latency processing - When your service has caught up to the tip of the chain it can optionally wait for new rounds so you have a low latency reaction to a new round occurring
• Watermarking and resilience - You can create reliable syncing / indexing services through a simple round watermarking capability that allows you to create resilient syncing services that can recover from an outage
• Extensive subscription filtering - You can filter by transaction type, sender, receiver, note prefix, apps (ID, creation, on complete, ARC-4 method signature, call arguments, ARC-28 events), assets (ID, creation, amount transferred range), transfers (amount transferred range)
• ARC-28 event subscription support - You can subscribe to ARC-28 events for a smart contract, similar to how you can subscribe to events in Ethereum
• First-class inner transaction support - Your filter will find arbitrarily nested inner transactions and return that transaction (indexer can't do this!)
• State-proof support - You can subscribe to state proof transactions
• Simple programming model - It's really easy to use and consume through easy to use, type-safe TypeScript methods and objects and subscribed transactions have a comprehensive and familiar model type with all relevant/useful information about that transaction (including things like transaction id, round number, created asset/app id, app logs, etc.) modelled on the indexer data model (which is used regardless of whether the transactions come from indexer or algod so it's a consistent experience)
• Easy to deploy - You have full control over how you want to deploy and use the subscriber; it will work with whatever persistence (e.g. sql, no-sql, etc.), queuing/messaging (e.g. queues, topics, buses, web hooks, web sockets) and compute (e.g. serverless periodic lambdas, continually running containers, virtual machines, etc.) services you want to use
• Fast initial index - There is an indexer catch up mode that allows you to use indexer to catch up to the tip of the chain in seconds or minutes rather than days; alternatively, if you prefer to just use algod and not indexer that option is available too!

Examples

Data History Museum index

The following code, when algod is pointed to TestNet, will find all transactions emitted by the Data History Museum since the beginning of time in seconds and then find them in real-time as they emerge on the chain.

The watermark is stored in-memory so this particular example is not resilient to restarts. To change that you can implement proper persistence of the watermark. There is an example that uses the file system to demonstrate this.

const algod = await algokit.getAlgoClient()
const indexer = await algokit.getAlgoIndexerClient()
let watermark = 0
const subscriber = new AlgorandSubscriber(
  {
    events: [
      {
        eventName: 'dhm-asset',
        filter: {
          type: TransactionType.acfg,
          // Data History Museum creator account on TestNet
          sender: 'ER7AMZRPD5KDVFWTUUVOADSOWM4RQKEEV2EDYRVSA757UHXOIEKGMBQIVU',
        },
      },
    ],
    frequencyInSeconds: 5,
    maxRoundsToSync: 100,
    syncBehaviour: 'catchup-with-indexer',
    watermarkPersistence: {
      get: async () => watermark,
      set: async (newWatermark) => {
        watermark = newWatermark
      },
    },
  },
  algod,
  indexer,
)
subscriber.onBatch('dhm-asset', async (events) => {
  console.log(`Received ${events.length} asset changes`)
  // ... do stuff with the events
})

subscriber.start()

USDC real-time monitoring

The following code, when algod is pointed to MainNet, will find all transfers of USDC that are greater than $1 and it will poll every 1s for new transfers.

const algod = await algokit.getAlgoClient()
let watermark = 0

const subscriber = new AlgorandSubscriber(
  {
    events: [
      {
        eventName: 'usdc',
        filter: {
          type: TransactionType.axfer,
          assetId: 31566704, // MainNet: USDC
          minAmount: 1_000_000, // $1
        },
      },
    ],
    waitForBlockWhenAtTip: true,
    syncBehaviour: 'skip-sync-newest',
    watermarkPersistence: {
      get: async () => watermark,
      set: async (newWatermark) => {
        watermark = newWatermark
      },
    },
  },
  algod,
)
subscriber.on('usdc', (transfer) => {
  // eslint-disable-next-line no-console
  console.log(
    `${transfer.sender} sent ${transfer['asset-transfer-transaction']?.receiver} USDC$${(
      (transfer['asset-transfer-transaction']?.amount ?? 0) / 1_000_000
    ).toFixed(2)} in transaction ${transfer.id}`,
  )
})

subscriber.start()

Getting started

To try examples in this repository:

• npm install
• Copy .env.sample to .env and edit to point to the Algorand node you want to point to
• npm run dhm or F5 in Visual Studio Code to get breakpoint debugging against one of the examples (or choose the other ones)