# Token Supply Snapshots — Numeric Interval Filter + Explicit Missing-Value Fill

> Token Supply Snapshots — Numeric Interval Filter + Explicit Missing-Value Fill 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).

Filters token supply snapshot rows by a numeric interval on circulating_units or total_units, then fills missing values using zero, mean, or median imputation, returning up to 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-11-135?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/token-supply-snapshots-numeric-interval-filter-explicit-missing-value-c3dfcf01
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_MCR4aQIItkkIQKSu1c8uD

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-explicit-missing-value-c3dfcf01 -d '<json body>'
```

Example prompt: I have a dataset of daily token supply snapshots with some null circulating_units values — can you filter the rows where circulating_units falls between 0 and 500000000, then fill in any missing values using the median, and give me up to 2 analytical reports on the result?

## When to prefer this

Choose this endpoint when you need to simultaneously apply a numeric range filter and impute missing values on token supply snapshot data (circulating_units or total_units) in a single low-cost call ($0.01 USDC for 2 reports). It is ideal for data cleaning pipelines where crypto/token supply time series contain nulls and out-of-range values. Prefer alternatives if you need live market data, predictions, or more than 200 rows processed at once.

## Known failure modes

- Rows array is empty or missing — validation error
- Row count exceeds 200 — request rejected
- Date field does not match YYYY-MM-DD pattern — validation error
- Numeric values outside ±1,000,000,000,000 range — validation error
- minimum greater than maximum — logically empty interval, may return zero rows
- Required row fields (row_id, date, instrument_group) missing — validation error

## How this service works

Token supply snapshots — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill 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

Up to 2 analytical reports derived from the supplied token supply snapshot rows after applying the specified numeric interval filter (min/max) on the chosen field (circulating_units or total_units) and filling any missing values using the selected method (zero, mean, or median). Results are computed locally from submitted data with no external lookups.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/token-supply-snapshots-numeric-interval-filter-explicit-missing-value-c3dfcf01/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)