# Peer Feedback Daily Sum Series + Two-Measure Correlation

> Peer Feedback Daily Sum Series + 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 2026-10-30).

Computes a daily sum time series and a two-measure correlation (review_count vs actioned_comments) from supplied peer feedback records, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-23-141?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/peer-feedback-daily-sum-series-two-measure-correlation-54a13e43
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_O2pJfiAAuyyzHG6GOAGB0

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 peer-feedback-daily-sum-series-two-measure-correlation-54a13e43 -d '<json body>'
```

Example prompt: I have peer feedback records with review counts and actioned comments across multiple course groups from October 2026 — can you run a daily sum series on review_count and also compute the correlation between review_count and actioned_comments for all 200 rows?

## When to prefer this

Choose this endpoint when you already have peer feedback data on hand (up to 200 rows) and need both a daily aggregation time series and a bivariate correlation between review_count and actioned_comments in a single low-cost call. It is ideal for education analytics pipelines, course group reporting, or instructor dashboards where no external data lookup or prediction is needed — just fast, local statistical computation on your supplied dataset.

## Known failure modes

- Input array exceeds 200 rows — request is rejected or truncated
- Missing required fields (row_id, date, review_count, actioned_comments) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern cause parsing failures
- Null values in both numeric measures may reduce correlation sample size or return NaN
- Insufficient variation in data may produce undefined or near-zero correlation
- Payment not supplied or insufficient USDC causes 402 response

## How this service works

Peer feedback — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation for supplied peer feedback records (review_count, actioned_comments). 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 the aggregated total of the selected field (review_count or actioned_comments) grouped by date across up to 200 input rows, and (2) a Pearson or similar correlation coefficient and supporting statistics measuring the linear relationship between review_count and actioned_comments in the supplied data.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/peer-feedback-daily-sum-series-two-measure-correlation-54a13e43/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)