# Supplier Qualification Daily Sum Series + Explicit Missing-Value Fill

> Supplier Qualification Daily Sum Series + 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 2026-10-15).

Computes daily sum time series and fills missing values for supplier qualification records (checked_criteria, met_criteria) across company groups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-145?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/supplier-qualification-daily-sum-series-explicit-missing-value-fill-7a057cf4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Nf4B0JDNjuUlvZkuj7OSV

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 supplier-qualification-daily-sum-series-explicit-missing-value-fill-7a057cf4 -d '<json body>'
```

Example prompt: I have up to 200 rows of supplier qualification records with dates, company groups, checked_criteria, and met_criteria values — can you compute the daily sum series for checked_criteria and fill any missing values using the median method?

## When to prefer this

Choose this endpoint when you have tabular supplier qualification records (with checked_criteria and/or met_criteria numeric fields) and need both a daily aggregated sum series and explicit missing-value imputation in a single $0.01 call. Ideal for procurement analytics pipelines, compliance dashboards, or data quality workflows where gaps in time series need systematic filling before downstream analysis. Not suitable for live lookups, predictive modeling, or datasets exceeding 200 rows.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, company_group) — validation error
- Date strings not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — rejection
- Empty rows array — minimum items constraint violation

## How this service works

Supplier qualification — Daily sum series + Explicit missing-value fill: Daily sum series + Explicit missing-value fill for supplied supplier qualification records (checked_criteria, met_criteria). 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 series showing aggregated values of the selected field (checked_criteria or met_criteria) by date, and (2) the same dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Covers up to 200 input rows across multiple company groups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-daily-sum-series-explicit-missing-value-fill-7a057cf4/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)