# Token Supply Snapshots — Numeric Interval Filter + Keyed Dataset Comparison

> Token Supply Snapshots — Numeric Interval Filter + 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 2026-10-29).

Applies numeric interval filtering and keyed cross-dataset comparison to two sets of token supply snapshot records (circulating_units, total_units), returning up to 2 analytical reports for up to 200 rows each.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-11-134?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/token-supply-snapshots-numeric-interval-filter-keyed-dataset-comparison-5438abb4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cK4ZVqG9ym91sV30rPRfx

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability token-supply-snapshots-numeric-interval-filter-keyed-dataset-comparison-5438abb4 -d '<json body>'
```

Example prompt: I have two sets of daily token supply snapshots for group-a and group-b from October 2026 — can you run a numeric interval filter on circulating_units and compare the two datasets row by row, up to 200 rows each?

## When to prefer this

Choose this endpoint when you have two local datasets of token supply snapshots and need both a numeric interval filter and a keyed cross-dataset comparison in a single low-cost call. It is ideal for offline or batch analytical workflows where no live data lookup is needed and the data is already in hand. At $0.01 USDC for 2 reports on up to 200 rows, it is cost-effective for routine supply auditing or reconciliation tasks.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, instrument_group) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Values outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array — minimum 1 item required
- Field enum value not 'circulating_units' or 'total_units' — rejected

## How this service works

Token supply snapshots — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + 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 up to 2 analytical reports: one applying a numeric interval filter to the selected field (circulating_units or total_units) across the supplied rows, and one performing a keyed comparison between the primary dataset and the 'other' dataset by row_id. No external data is fetched; all computation is done locally on the supplied data.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "instrument_group",
     "date",
     "circulating_units",
     "total_units"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "total_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "instrument_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "circulating_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "total_units": 1,
     "instrument_group": "group-a",
     "circulating_units": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "total_units": 2,
     "instrument_group": "group-b",
     "circulating_units": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "total_units": 3,
     "instrument_group": "group-a",
     "circulating_units": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "total_units": 4,
     "instrument_group": "group-b",
     "circulating_units": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "circulating_units",
    "total_units"
   ],
   "type": "string",
   "default": "circulating_units"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "instrument_group",
     "date",
     "circulating_units",
     "total_units"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "total_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "instrument_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "circulating_units": {
     
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/token-supply-snapshots-numeric-interval-filter-keyed-dataset-comparison-5438abb4/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)