# Thesis Milestones — String Normalisation + Date by Category Pivot

> Thesis Milestones — String Normalisation + Date by Category Pivot 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).

Runs two analytical reports on thesis milestone data: string normalisation and a date-by-category pivot for completed and planned milestones across course groups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-21-035?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/thesis-milestones-string-normalisation-date-by-category-pivot-3faceb82
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_muolvm3rAyfYnIyhsDNz7

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 thesis-milestones-string-normalisation-date-by-category-pivot-3faceb82 -d '<json body>'
```

Example prompt: Can you run the string normalisation and date-by-category pivot reports on my thesis milestone data? I have rows for group-a and group-b with dates from 2026-10-01 to 2026-10-04, tracking completed_milestones — here are the records.

## When to prefer this

Choose this endpoint when you need both string normalisation and a date-by-category pivot on thesis milestone data in a single low-cost call ($0.01 USDC for both reports). It is best suited for small batch analysis (up to 200 rows) of academic milestone records with course group segmentation, where no live data lookup or external prediction is required.

## Known failure modes

- Rows exceeding 200 items will be rejected
- Missing required fields (row_id, course_group, date, completed_milestones, planned_milestones) will cause validation errors
- Dates not matching YYYY-MM-DD pattern will fail schema validation
- Invalid field enum value (must be completed_milestones or planned_milestones) will error
- Numeric values outside the allowed range will be rejected

## How this service works

Thesis milestones — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied thesis milestones records (completed_milestones, planned_milestones). 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: (1) a string-normalised version of the submitted milestone records, and (2) a date-by-category pivot table showing the selected milestone field (completed_milestones or planned_milestones) broken down by course_group across dates — all computed locally with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/thesis-milestones-string-normalisation-date-by-category-pivot-3faceb82/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)