# Font Production Analytics — Numeric Row Ordering + Explicit Missing-Value Fill

> Font Production Analytics — Numeric Row Ordering + 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 2026-10-25).

Sorts font production records by date and fills missing glyph_count or kerning_pairs values using zero, mean, or median imputation, delivering two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-18-124?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/font-production-analytics-numeric-row-ordering-explicit-missing-value-d204af04
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fOsijHd-oSVRF4SqSPIXm

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 font-production-analytics-numeric-row-ordering-explicit-missing-value-d204af04 -d '<json body>'
```

Example prompt: I have a font production dataset with up to 50 rows containing glyph_count and kerning_pairs — some values are missing. Can you sort all the records by date and fill in the missing glyph_count values using the median, then give me two analytical reports?

## When to prefer this

Choose this endpoint when you have font production tabular data (glyph counts and kerning pairs) that needs chronological sorting and null/missing-value imputation before analysis or reporting, and you want two output reports in a single $0.01 call for up to 200 rows. Prefer this over general-purpose data tools when working specifically with font production metrics and wanting a lightweight, offline analytical engine with no external API dependencies.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Invalid date format (must be YYYY-MM-DD) — validation error
- Missing required fields (row_id, asset_group, date) — schema error
- Field enum value not in [glyph_count, kerning_pairs] — validation error
- Method enum value not in [zero, mean, median] — validation error
- Empty rows array (minItems: 1 not met) — schema error
- Payment not included or insufficient — x402 payment required error

## How this service works

Font production — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied font production records (glyph_count, kerning_pairs). 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

Two analytical reports based on the supplied font production records: one report covering numerically ordered (date-sorted) rows, and one covering the same dataset with missing values in the selected field (glyph_count or kerning_pairs) explicitly filled using the chosen method (zero, mean, or median). No external data is fetched; all analysis uses the submitted rows only.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "glyph_count",
     "kerning_pairs"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "glyph_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "kerning_pairs": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "glyph_count": 10,
     "kerning_pairs": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "glyph_count": 20,
     "kerning_pairs": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "glyph_count": 15,
     "kerning_pairs": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "glyph_count": 30,
     "kerning_pairs": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "glyph_count",
    "kerning_pairs"
   ],
   "type": "string",
   "default": "glyph_count"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/font-production-analytics-numeric-row-ordering-explicit-missing-value-d204af04/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)