# Thesis Milestones — Trailing Mean Series + Explicit Missing-Value Fill

> Thesis Milestones — Trailing Mean 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 2026-10-26).

Computes trailing mean time series and fills missing values in thesis milestone records (completed and planned milestones) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-21-154?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/thesis-milestones-trailing-mean-series-explicit-missing-value-fill-07ab5414
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_r6aI0YriFKGmsx8vze8e0

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-trailing-mean-series-explicit-missing-value-fill-07ab5414 -d '<json body>'
```

Example prompt: I have thesis milestone records for two course groups with dates from 2026-10-01 to 2026-10-31 — can you compute a trailing mean series with a window of 3 on the completed_milestones field and fill any missing values using the median method?

## When to prefer this

Choose this endpoint when you have thesis or academic milestone tabular data (up to 200 rows) and need both rolling-window smoothing and missing-value imputation in a single low-cost call. It is ideal for education analytics workflows where you want offline, local computation without any external lookups or predictions — particularly when your data includes completed vs planned milestone columns grouped by course or cohort.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row-level errors
- Missing required fields (row_id, date) cause validation failure
- Window size larger than number of rows produces sparse or empty trailing means
- All values null in chosen field with mean/median fill method may produce NaN results

## How this service works

Thesis milestones — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill 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 trailing mean time series computed over the specified rolling window for the chosen milestone field, and (2) the dataset with missing values explicitly filled using the specified method (zero, mean, or median). Results cover all supplied rows up to 200.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/thesis-milestones-trailing-mean-series-explicit-missing-value-fill-07ab5414/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)