{"uid":"cap_JXUBROSVJVKs64NDDiRix","slug":"manylives-transaction-categoriser-5d91693c","name":"ManyLives Transaction Categoriser","description":"Pay-per-call tools for people building AI agents: live web search and page contents, prompt-injection checks, market data and risk sizing for trading agents, company profiles and quick AI. Ask us to turn a public website into a JSON endpoint. Pay per call, no account, free trial.","url":"https://api.manylives.me/paid/data/categorise-transactions?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"csv":{"type":"string","examples":["date,description,amount\n2026-10-01,AD NETWORK INV 4411,-120.00\n2026-10-02,ACME PTY LTD INVOICE 1032,2400.00\n2026-10-03,CARD PROCESSING FEES,-31.20"],"description":"CSV text with a header row"},"rows":{"type":"string","description":"array of {description, amount} (or csv)"},"categories":{"type":"string","description":"optional list of your own category names to use instead of ours"},"amount_column":{"type":"string","description":"optional column name (auto-detected: amount or value, or separate paid-in and paid-out columns)"},"description_column":{"type":"string","description":"optional column name (auto-detected: description, memo, details, narrative, payee)"}}},"responseSchema":{"type":"json","example":{"rows":3,"by_ai":1,"totals":{"income":2400,"payment_processing_fees":-31.2},"by_rule":2,"labelled":[{"by":"rule","row":1,"amount":-31.2,"category":"payment_processing_fees","description":"CARD PROCESSING FEES"},{"by":"ai","row":2,"amount":2400,"category":"income","description":"ACME PTY LTD INV 4410"}]}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.005","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.005/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_ICQgrhMpmTsEZTv79JWTu","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.005","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Categorises bank or payment transaction rows from CSV data into labelled expense/income categories using a combination of rules and AI","exampleAgentPrompt":"Take this bank statement CSV and categorise each transaction — date,description,amount headers — into income, expenses, and fees. Use my own categories: income, ad_spend, payment_processing, and software_subscriptions.","exampleUseCases":[{"title":"Monthly bookkeeping expense sort","prompt":"I've got my business bank statement as a CSV with columns date, description, and amount — can you categorise every transaction into income, software_subscriptions, payroll, and marketing so I can hand it to my accountant?"},{"title":"Freelancer invoice vs fee separation","prompt":"Here's my payment processor export as a CSV. Categorise all the rows and total up how much was income from clients versus how much was eaten up by card processing fees."},{"title":"Startup spending analysis by type","prompt":"Run this CSV of transactions through the transaction categoriser and group them into income, ad_spend, saas_tools, and other_expenses — I want to see the totals for each category so I can review our burn rate."}],"resultDescription":"Returns a JSON object with the total number of rows processed, counts of rows categorised by rule vs AI, per-category amount totals, and a labelled array of each transaction row with its assigned category, amount, description, and the method used (rule or ai).","failureModes":["Missing or malformed CSV/rows input returns an error","Unrecognisable column names with no overrides cause auto-detection failure","Ambiguous transaction descriptions may be miscategorised by the AI component","Very large CSVs may incur multiple per-call charges or hit size limits","Invalid or empty category list causes fallback to default categories"],"whenToPreferThis":"Choose this endpoint when you have raw bank statement or payment processor CSV data and need each transaction row labelled with an expense or income category — especially useful for bookkeeping automation, accounting agent workflows, or expense reporting pipelines. It combines rule-based fast categorisation with AI fallback, making it accurate for both common patterns (like 'CARD PROCESSING FEES') and ambiguous descriptions. Prefer it over general-purpose LLM calls when you want structured JSON output with per-category totals and per-row attribution at a fixed low cost per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T06:53:11.354Z","isFirstParty":false,"canonicalSlug":"manylives-transaction-categoriser-5d91693c"}