# Font Production Analytics — String Normalisation + Two-Measure Correlation

> Font Production Analytics — String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Performs string normalisation and two-measure correlation analysis on up to 200 font production records (glyph_count, kerning_pairs), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-18-033?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/font-production-analytics-string-normalisation-two-measure-correlation-2b053f63
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qV2A3TiHEdRHbyV-2gU1R

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-string-normalisation-two-measure-correlation-2b053f63 -d '<json body>'
```

Example prompt: Can you run string normalisation and a two-measure correlation on my font production records? I have 4 rows: row-1 (group-a, 2026-10-01, glyph_count=500, kerning_pairs=120), row-2 (group-b, 2026-10-02, glyph_count=750, kerning_pairs=200), row-3 (group-a, 2026-10-03, glyph_count=300, kerning_pairs=80), row-4 (group-b, 2026-10-04, glyph_count=900, kerning_pairs=250).

## When to prefer this

Choose this endpoint when you need both string normalisation and a statistical correlation between exactly two numeric font production metrics (glyph_count and kerning_pairs) in a single low-cost call. It is ideal for type foundry workflows, font QA pipelines, or analytics on typography datasets up to 200 rows where no external data enrichment or live lookup is needed.

## Known failure modes

- Exceeding 200 rows causes a validation error — split into multiple calls
- Missing required fields (row_id, date, glyph_count, kerning_pairs) causes row rejection
- Invalid date format (must match YYYY-MM-DD) triggers a schema validation error
- Null values for both numeric measures may degrade or invalidate correlation output
- Empty rows array returns an error — at least 1 row is required

## How this service works

Font production — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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 independent analytical reports: (1) a string normalisation report cleaning and standardising the text fields across all submitted font production rows, and (2) a two-measure correlation report quantifying the statistical relationship between glyph_count and kerning_pairs across the dataset. Both reports are computed locally without any external lookups or live data.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/font-production-analytics-string-normalisation-two-measure-correlation-2b053f63/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)