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ManyLives Books Health Analyzer
x402
ManyLives Books Health Analyzer is a paid API for AI agents from api.manylives.me, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-29).
Analyzes bookkeeping transaction data to produce a health summary including duplicate detection, uncategorized rows, reconciliation status, and monthly spending patterns
Price / call$0.004
Success—
StatusUnknown
How this service works
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.
Output
Returns a JSON object with the full date range covered, total row and month counts, list of accounts, per-month averages and busiest month, reconciliation column name and last reconciled date with unreconciled row count, uncategorized transaction count and share, and possible duplicate row groups.
Example use cases
Duplicate transaction audit before month-end close
“Here's my CSV bookkeeping export for September — can you scan it for any duplicate transactions and tell me how many groups of duplicates you found?”
Reconciliation gap check for accountant review
“I need to know how far behind my books are on reconciliation — here are my transactions as a CSV, can you tell me the last reconciled date and how many rows are still uncleared?”
Monthly spending pattern summary for freelancer
“I've got 9 months of transaction data in CSV format — can you break it down by month and tell me the average transaction count and which month was the busiest?”
Technical details
Endpoint
POSThttps://api.manylives.me/paid/data/books-health?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw bookkeeping transaction data (as JSON rows or CSV) and need a quick structural health report — including duplicates, reconciliation gaps, uncategorized entries, and monthly breakdowns — without uploading to a full accounting platform. Ideal for lightweight audits, pre-accountant checks, or automated book quality monitoring in agent workflows.
Side effects
- Malformed CSV with inconsistent column headers returns a parsing error
- Row count exceeding 20,000 may be rejected or truncated
- Missing required date or amount columns result in incomplete analysis
- Ambiguous date formats may cause incorrect date range detection
- Empty input returns no meaningful analysis
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| csv | string | or the export as CSV text (up to 20,000 rows) |
| rows | string | [{date, description, amount, category, account, reconciled}] or csv |
Output
Schema · Response
{
"type": "json",
"example": {
"to": "2026-09-30",
"from": "2026-01-02",
"rows": 1840,
"months": 9,
"accounts": [
"Business Cheque",
"Credit Card"
],
"per_month": {
"average": 204,
"busiest": {
"count": 266,
"month": "2026-03"
}
},
"reconciled": {
"column": "cleared",
"last_reconciled": "2026-06-30",
"unreconciled_rows": 455
},
"uncategorised": {
"count": 312,
"share": 0.17
},
"possible_duplicates": {
"rows": 13,
"groups": 6
}
}
}Tags
x402
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