# Project Effort Record Quality Audit + String Normalisation + Numeric Interval Filter

> Project Effort Record Quality Audit + String Normalisation + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Runs three local analytical reports on project effort data (estimated_hours, actual_hours): a record quality audit, string normalisation, and numeric interval filter — up to 200 rows, no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-01-197?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/project-effort-record-quality-audit-string-normalisation-numeric-983cd353
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0moap14OkyhnVk5zmzszw

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 project-effort-record-quality-audit-string-normalisation-numeric-983cd353 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and numeric interval filter on my project effort data — here are up to 200 rows with row_id, team_group, date, estimated_hours, and actual_hours — and filter actual_hours between 0 and 100?

## When to prefer this

Choose this endpoint when you need three bundled analytical operations on project effort data in a single cheap call ($0.01 USDC): quality auditing of records, string normalisation of team/group labels, and numeric range filtering on hours fields. It is ideal for pre-processing or validating effort data before loading into downstream systems. Prefer it over separate tools when all three operations are needed together on the same dataset of up to 200 rows, and no live lookups or predictions are required.

## Known failure modes

- More than 200 rows submitted — request rejected
- Missing required fields (row_id, team_group, date, estimated_hours, actual_hours) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- minimum greater than maximum — may produce empty interval filter results
- Non-numeric values in estimated_hours or actual_hours — schema validation failure
- Empty rows array — schema rejection (minItems: 1)

## How this service works

Project effort — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied project effort records (estimated_hours, actual_hours). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports: (1) a record quality audit flagging issues in the supplied rows, (2) a string normalisation report for text fields, and (3) a numeric interval filter report identifying rows where the selected field (estimated_hours or actual_hours) falls within or outside the specified minimum–maximum range. All analysis is performed locally with no external data sources.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_group",
     "date",
     "estimated_hours",
     "actual_hours"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "team_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "actual_hours": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "estimated_hours": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "actual_hours": 1,
     "estimated_hours": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "actual_hours": 2,
     "estimated_hours": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "actual_hours": 3,
     "estimated_hours": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "actual_hours": 4,
     "estimated_hours": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "estimated_hours",
    "actual_hours"
   ],
   "type": "string",
   "default": "estimated_hours"
  },
  "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/project-effort-record-quality-audit-string-normalisation-numeric-983cd353/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)