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Token Supply Snapshots — Daily Sum Series & Keyed Dataset Comparison
x402
Token Supply Snapshots — Daily Sum Series & Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Computes a daily sum time series and a keyed dataset comparison for up to 200 token supply snapshot records (circulating_units, total_units) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token supply snapshots — Daily sum series + Keyed dataset comparison: Daily sum series + Keyed dataset comparison for supplied token supply snapshots records (circulating_units, total_units). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports: (1) a daily sum time series aggregating the selected field (circulating_units or total_units) across all rows per date, and (2) a keyed dataset comparison report matching rows between the primary dataset and the 'other' dataset by row_id, highlighting differences in the selected field. Both reports are computed locally with no external data lookups.
Example use cases
Daily token issuance trend analysis
“Here are 150 rows of daily token supply records for my DeFi project with fields date, instrument_group, circulating_units, and total_units — can you build a daily sum series for circulating_units so I can see how supply evolved over time?”
Cross-dataset token supply discrepancy check
“I have two versions of my token supply snapshot data — the reported dataset and the on-chain dataset — both up to 200 rows with matching row IDs. Can you run a keyed comparison on total_units to highlight where they diverge?”
Multi-group circulating supply aggregation
“I've got snapshot records across three instrument groups (group-a, group-b, group-c) from 2023-10-01 to 2023-12-31. Can you aggregate the circulating_units into a daily sum series and also compare this quarter's data against last quarter's using keyed dataset comparison?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-finance-11-144?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 pre-collected token supply snapshot records and need both a daily time series aggregation and a side-by-side dataset comparison in a single call. It is ideal for offline or batch analytical workflows where no live market data lookup is needed. Prefer it over live data APIs when you already have the raw snapshot data and simply need structured analytical outputs (sum series + diff report) at low cost ($0.01 per call for both reports).
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required row fields (row_id, date, circulating_units, total_units) causes validation failure
- Date strings not matching YYYY-MM-DD pattern will fail schema validation
- Numeric values outside ±1,000,000,000,000 range will be rejected
- Empty rows array (minItems:1 not met) will cause an error
- Mismatched row_ids between primary and 'other' datasets may produce incomplete comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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