Automatic Categorization from Onchain Data: Labels, Merchants, and Memos for Classifying Crypto Transactions

Automatic categorization powered by on-chain data reads the who, what, and why behind each transfer, then converts raw hashes into human labels and spending categories. When you automatically add categories to crypto activity, you see where money goes, spot patterns faster, and make better decisions in the Coca app without wrestling with spreadsheets or guesswork.

More than half of crypto users still struggle to keep complete records and understand what their transaction history means for day-to-day money management. One national survey found only 45% of crypto users keep transaction records, and many rely on spreadsheets, a fragile approach for multi-wallet activity. Paired with the finding that 61% of U.S. crypto investors were unaware of new 1099-DA reporting rules in 2025, the gap is real and costly. Categorization closes that gap. (publications.gc.ca)

What Is On-Chain Data and Why Does It Matter for Categorization?

On-chain data is the permanent, public record of transactions written to a blockchain. It includes sender and receiver addresses, transferred amounts, timestamps, and sometimes extra context such as memos, destination tags, or smart contract method calls. Because blockchains function as public ledgers, anyone can inspect this data, which makes it ideal for building reliable categorization. The same facts are available to every wallet, analytics tool, and auditor. That shared ground truth, plus open standards like Ethereum’s transaction request URIs and Solana’s memo program, is exactly what turns opaque hashes into understandable financial history. (brookings.edu)

Definition and relevance. When you initiate a crypto payment, your wallet creates a transaction that references inputs and outputs (Bitcoin) or instructions and accounts (Solana). Networks like XRP and Stellar add fields such as “destination tag” or “memo” so custodians can route deposits within one omnibus address. Those small details are gold for categorization because they describe intent, merchant references, or order IDs that a classifier can map to “Coffee,” “Rent,” or “Savings Transfer.” This is where on-chain merchant data and crypto transaction memos shine, because they give a classifier context to organize blockchain transfers into the right buckets. (xrpl.org)

How on-chain data is generated and stored. A wallet signs a transaction, broadcasts it to nodes, and once validated it becomes part of a block and the global ledger. That record is immutable. Indexers and explorers then enrich it with labels for known services. Ethereum users may see public name tags on Etherscan for exchange hot wallets, NFT marketplaces, or DeFi protocols, which immediately improves readability before any machine learning touches it. Think of it like street signs added to a city map that already has every road surveyed. (info.etherscan.com)

Examples that matter for categorization. Three stand out:

• On-chain merchant data. Ethereum’s ERC‑681 defines payment request URLs that can include metadata to clarify intent for the payer’s wallet, and explorers frequently tag known merchant or service addresses. On Solana Pay, merchants include an on-chain “reference” that ties a payment to an order in their system. These breadcrumbs help a classifier say “this USDC transfer was a retail purchase” rather than “unknown.” (eips.ethereum.org)

• Crypto transaction memos. Solana’s memo program, Stellar’s memos, and XRP’s destination tags carry human-readable strings or numeric IDs that exchanges and merchants rely on. A memo like “Order 14573 CoffeeLab” is a categorization gift. Even a short numeric tag can map back to a merchant invoice. (solana-program.com)

• Contract and label signals. Smart contract method signatures and known-address labels provide strong hints. A call to a marketplace contract suggests “NFT purchase.” An inflow from an exchange’s hot wallet suggests “deposit,” while an outflow to a staking contract suggests “staking.” Label catalogs maintained by explorers make these signals richer over time. (info.etherscan.com)

Why Does Categorizing Transactions Matter?

Categorization turns a stream of transfers into a story you can act on. In practice, the benefits are threefold: better awareness, cleaner budgets, and fewer surprises at tax time. Surveys show the paperwork burden is real. Only 45% of crypto users keep records, and among those who do, many still manage activity in spreadsheets, which crack under multiple exchanges and wallets. That complexity fuels confusion about taxable events too. A recent U.S. survey with Coinbase and CoinTracker found only 49% correctly understand when crypto becomes taxable. Organizing your ledger by category solves problems you feel every month, not just in April. (publications.gc.ca)

Financial awareness. People budget in categories. Behavioral research calls this mental budgeting, and it correlates with better money management and more accurate recall of spending. When your crypto activity lands in clear buckets like “Groceries,” “Trading Fees,” “NFTs,” and “Transfers,” you see patterns sooner and cut waste without guesswork. That is the power of structured categories on top of an open ledger. (sciencedirect.com)

Common pitfalls of not categorizing. Without categories, transfers blur together. You double count deposits as income, treat wallet-to-wallet moves as spending, or miss recurring subscriptions paid in stablecoins. Mistakes can snowball when you reconcile taxes, especially now that many brokers issue 1099-DA with gross proceeds but incomplete cost basis for assets moved in from elsewhere. As Coinbase’s VP of Tax explained, reconstructing history without organized data is a headache for investors. Classification of crypto transactions upfront prevents many of these errors. (theblock.co)

How it sharpens budgets and analysis. Categorized ledgers power alerts like “your exchange fees rose 18% this month” or “USDC subscriptions renew next week.” Even simple tags like “business vs personal” help with cash flow. Consumer finance research shows that adding structure to transactions makes people more consistent budgeters over time. Put simply, categories are the map that stops you from walking in circles. (canada.ca)

What are the different categories of transactions? A practical taxonomy for crypto spending and tracking includes income (payroll in crypto, staking rewards, airdrops), expenses (merchant payments, subscriptions, gas fees), and transfers (deposits, withdrawals, bridges, self-to-self moves). For investors, add trades and swaps. For collectors, add NFT purchases and sales. Clear labels prevent misclassifications like counting a self-transfer as a purchase. For tax context, spending crypto on goods, selling for fiat, or swapping for another coin are the actions most likely to trigger taxable events, while a pure transfer between your own wallets is not taxable under IRS guidance. (irs.gov)

🔑 Key Takeaway: Putting your crypto transactions into clear categories can significantly enhance financial awareness and budgeting.

How Does Coca Automatically Categorize Transactions?

We built categorization to feel invisible and accurate. Our system reads on-chain facts, applies rules that capture crypto’s quirks, and then layers machine learning to refine labels over time. The outcome in the Coca app is straightforward. Every transaction shows a human label, a suggested category, and context about the counterparty or contract so you can trust what you see and adjust when needed.

Technologies and algorithms we use. First, we parse on-chain data across supported networks to extract addresses, amounts, and ancillary fields such as memos and destination tags. Next, we match addresses to known entities through curated label sets and contract registries. We also fingerprint contract calls by method signature to classify interactions like swaps, NFT mints, or staking. Finally, we apply a classifier that weighs on-chain merchant data, crypto transaction memos, timing, and transaction graph features to propose a category with a confidence score. Where standards exist, we honor them. For example, we parse Solana memos and references and can recognize Ethereum ERC‑681 requests that wallets use to describe payments. (solana-program.com)

How we turn raw transfers into labels. Consider three common examples:

• An inflow from an exchange hot wallet plus a known memo format maps to “Deposit.”

• A USDC payment with a merchant-labeled address and a short memo like “INV-7248” maps to “Subscriptions” or “Services.”

• A call to a marketplace contract with an NFT transfer event maps to “NFT purchase,” with the collection name in the label.

User experience in the Coca App. You see the human label first, then the category. Tap to expand details like network fees, contract interactions, and the memo text we decoded. If our suggestion misses the mark, change the category once and set a rule so future matches stick. This respects your preferences without forcing manual clean-up every month. You end up classifying crypto payments correctly with minimal effort.

Comparison, from a user’s seat

Feature	Coca	Competitor A	Competitor B
Reads and classifies memos and destination tags across Solana, Stellar, and XRP	Yes, parsed automatically at import	Partial, manual review often needed	Limited support
Merchant and service labeling for known on-chain addresses	Curated labels, with rule overrides	Basic, few overrides	Varies by chain
Contract-aware NFT and DeFi categorization	Method and event matching with human labels	Generic “smart contract” tag	Manual recoding common
Confidence scoring and one-tap rules	Included	Not visible to user	Basic filters only
Tax-friendly transfer detection (self-to-self)	Default, reduces false income	Occasional misflags	Inconsistent

What Advantages Do You Get From Automatic Categorization with Coca?

Automatic categorization saves time, reduces errors, and turns crypto activity into budget insight without extra effort from you. People already have too many apps and spreadsheets to manage, and one survey of U.S. consumers found that a significant share still tracks finances manually, which adds friction and mistakes. In crypto, manual tracking is tougher because transfers span multiple chains and wallets. As a tax expert at CoinTracker put it, if you are active across multiple wallets and exchanges, reconciling everything by hand is “virtually impossible.” Our approach cuts through that by mapping each on-chain fact to a plain-English category you can trust inside our banking app. (mx.com)

Time saved is money saved. The most common time traps in crypto tracking are recoding the same merchant every month, hunting down missing memos, and reversing misclassified self-transfers. We built defaults that catch those cases on import, then let you set small rules that remove repetitive edits. That means you spend minutes, not hours, getting to a clean monthly picture.

Better literacy through clear labels. Categorization teaches by showing. When “Swap on Uniswap” or “Bridge to Arbitrum” appears with a concise explanation, you learn how activity flows and what it costs. Research in consumer finance links structured transaction views to better budgeting habits over time. Educational value should come from your actual ledger, not a separate course. (canada.ca)

A smoother path at tax time. The IRS treats crypto as property, so selling, swapping, or spending typically creates a taxable event, while transfers between your own wallets do not. Clean categories help you isolate taxable from non-taxable flows and keep cost basis tracking consistent across wallets. You still own the final numbers, but good categories spare you painful rework. One compliance note. This article is educational and not tax advice. For guidance on your situation, talk to a qualified professional. (irs.gov)

The interface that gets out of your way. We keep category editing one tap away, show the original memo or destination tag, and surface contract details without jargon. If you want to go deeper, drill into a category to see how your subscription costs compare month over month, or how much gas you spent last quarter. The goal is clarity, not clutter.

What Does Automatic Categorization Look Like in Real Life?

Automatic categorization shines when life gets messy. Real users juggle paychecks in stablecoins, experimental DeFi, NFTs, and everyday purchases. Here are three lived scenarios where on-chain context and thoughtful categorization fix what used to be frustrating.

Case 1, the freelancer. Before, a designer accepted USDC payments on multiple chains and often forgot to label which invoice was which. Reconciliation meant digging through email threads and explorer links. After, incoming transfers on Stellar and Solana arrived with memos that included invoice numbers. Our system mapped them to “Freelance income,” attached the memo to the label, and separated them from self-transfers she made to savings. At tax time, business income was already isolated with memos intact. Stellar’s own documentation underscores how memos help route and identify payments in pooled accounts, which translates cleanly into categories. (developers.stellar.org)

Case 2, the power user. Before, an active trader bridged assets, farmed on multiple protocols, and moved coins between self-custody and exchanges. His year-end was a blur of CSV exports and VLOOKUPs. After, every swap, stake, and LP add showed up with a human label like “Liquidity add on Protocol X” and landed under “Investing activity,” while self-to-self moves were flagged as “Transfer.” That separation of taxable events from pure transfers lined up with IRS guidance and trimmed hours off his prep. (irs.gov)

Case 3, the subscriber. Before, a creator paid for several web tools in USDC and lost track of renewals. Two subscriptions renewed the same week, blowing up her budget. After, our categorizer grouped those as “Subscriptions,” identified the merchant by address label and memo, and warned that three renewals were due next week. She paused one and avoided an overdraft. This is exactly why categorization exists, to surface spend that matters in time to act.

Common Questions About Automatic Categorization

How does Coca categorize transactions automatically?

We analyze on-chain data such as addresses, amounts, contract method calls, and available fields like memos or destination tags. We then map known addresses to labeled entities, interpret smart contract interactions, and apply machine learning to suggest a category with a confidence score. You can accept, adjust, or create a rule that remembers your choice for the future.

What are the benefits of putting crypto transactions into categories?

Clear categories make money visible. You can see spending trends by merchant, spot rising fees, keep business and personal activity separate, and prepare for taxes with fewer surprises. Studies in consumer finance show that structured transaction views and category-based budgeting encourage better financial habits. In practice, it turns a firehose of transfers into a set of understandable stories you can act on. (canada.ca)

Is there a way to manually adjust transaction categories in Coca?

Yes. You can always change a category with one tap. If you prefer a different label or bucket for a recurring merchant, add a simple rule so the next match follows your preference automatically. You stay in control, while automation handles the heavy lifting.

Can categorization help in tax reporting?

Absolutely. The IRS treats crypto as property, so selling, swapping, or spending crypto typically triggers taxes, while transfers between your own wallets generally do not. Clean categories help you filter taxable from non-taxable flows and maintain consistent cost basis tracking across wallets and exchanges. For advice on your exact situation, consult a tax professional. (irs.gov)

Getting Specific: Interpreting Labels, Merchants, and Memos

Labels. These are plain-English names assigned to addresses or contracts, often maintained by explorers and research teams. Ethereum users may see public name tags for exchanges or protocols, which we incorporate and supplement. When our system says “Deposit from Exchange A” or “Swap on DEX B,” it is using both known labels and transaction context. Proper labels make it easier to organize cryptocurrency transactions into the right categories. (info.etherscan.com)

Merchant signals. Some ecosystems use standardized payment requests that include human-readable details. ERC‑681 provides a URL format that wallets can interpret to show a “who and what” view of a payment. On Solana Pay, a merchant can write an order reference on-chain that we read back to connect a transfer with its purpose. These signals move your ledger from raw addresses to understandable merchants. (eips.ethereum.org)

Crypto transaction memos. Memos and destination tags are small fields with big value. On Solana, a memo can be any UTF‑8 text that gets logged with the transaction. On Stellar, memos are common when sending to exchanges or pooled accounts, and some services even require them to credit deposits. On XRP, the destination tag points to the right internal account. We parse these fields automatically and attach them to labels and categories in context. See how that tightens the story for each transfer? (solana-program.com)

Taxable events, made clearer. A frequent question is which crypto transaction is most likely to trigger taxes. The short answer is any sale, swap, or spend where you dispose of the asset. Buying a coffee with crypto counts, as does swapping ETH for an altcoin. Transfers between your own wallets are typically non-taxable, even if an exchange issues a form. Categorization helps you separate these buckets correctly. That changes things. (irs.gov)

Expert view. As Shehan Chandrasekera, CPA and Head of Tax Strategy at CoinTracker, explains, manual reconciliation across multiple wallets and exchanges can be “virtually impossible,” especially for active DeFi users. Clean categories and reliable on-chain context reduce that burden and the risk of errors in cost basis and gains. (theblock.co)

A Quick Primer: Crypto Categories People Ask About

• What are the main crypto categories? For everyday tracking, think income, expenses, transfers, and investments. Income includes payroll in crypto, staking rewards, mining, and airdrops. Expenses include merchant payments, subscriptions, and gas. Transfers include deposits, withdrawals, bridges, and self-to-self moves. Investments include swaps, DEX trades, and NFT activity.

• What are three types of transactions? A simple frame that works across chains is income, expense, transfer. It maps neatly to tax and budgeting workflows and helps prevent misclassifying self-transfers as spending.

• Which crypto transaction is most likely to trigger a taxable event? Selling for fiat, swapping one crypto for another, or spending crypto with a merchant are the usual triggers in the U.S. Pure transfers between wallets you own are generally non-taxable, according to the IRS. (irs.gov)

Do This Today

Open the Coca banking app and turn on automatic categorization for all connected wallets. Then:

1) Tag one recurring merchant you pay in stablecoins and set a rule for it.

2) Review last month’s “Transfers” and confirm that self-to-self moves are excluded from spending.

3) Add a memo on your next on-chain payment, like “Gym Sept,” and see how clearly it lands in your ledger.

If you manage assets across multiple chains, this ten-minute tune-up will pay for itself every month. And if you are new to our tools, download the Coca App and let us classify the next five transactions for you. We will do the boring part so you can see the big picture.

Sources

• Only 45% of crypto users keep records, many use spreadsheets. Government of Canada research. (publications.gc.ca)

• Over half of U.S. investors misunderstand when crypto is taxable, 61% unaware of 1099‑DA changes. Coinbase and CoinTracker survey coverage. (coindesk.com)

• DeFi transparency and on-chain tracing insights. Chainalysis. (chainalysis.com)

• Transaction categorization benefits explained. Stripe. (stripe.com)

• IRS guidance on taxable vs non-taxable crypto events. (irs.gov)

• Public labels and name tags on Etherscan. (info.etherscan.com)

• Memos and tags across Solana, Stellar, and XRP. (solana-program.com)

• ERC‑681 payment requests and Solana Pay references for merchant context. (eips.ethereum.org)

We built categorization into Coca Wallet so your crypto life stays organized without extra work. Other tools exist, and you should choose what fits your workflow, but if you want on-chain signals, merchant context, and memos translated into a clean monthly picture, we are ready when you are.

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Reviewed by Kate Alippa — CMO at COCA