# Onboarding Progress — Numeric Interval Filter + Two-Measure Correlation

> Onboarding Progress — Numeric Interval Filter + 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 2026-11-02).

Filters onboarding progress rows by a numeric interval on a chosen measure and computes a two-measure correlation (completed_steps vs required_steps) across up to 200 supplied rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-08-131?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/onboarding-progress-numeric-interval-filter-two-measure-correlation-6015de4a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ssg09ta9B6WXV-puKFHQ-

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 onboarding-progress-numeric-interval-filter-two-measure-correlation-6015de4a -d '<json body>'
```

Example prompt: For my onboarding dataset with rows containing completed_steps and required_steps per team group, filter rows where completed_steps is between 5 and 50, then run a two-measure correlation between completed_steps and required_steps across all my records.

## When to prefer this

Choose this endpoint when you have onboarding progress data (completed_steps and required_steps) and need both a range-filtered view of that data and a statistical correlation between the two measures in a single call. Ideal for HR analytics, onboarding audits, or team performance dashboards where you want to understand the relationship between steps completed and steps required across team groups, without any external data lookup or prediction needed.

## Known failure modes

- Input rows array is empty or exceeds 200 items — validation error returned
- Date values do not match YYYY-MM-DD pattern — schema validation failure
- minimum value is greater than maximum value — may return empty filtered set or error
- completed_steps or required_steps contain nulls — null rows may be excluded from correlation computation
- field enum value is invalid — request rejected with schema error

## How this service works

Onboarding progress — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation for supplied onboarding progress records (completed_steps, required_steps). 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 independent analytical reports: (1) the subset of input rows whose chosen field (completed_steps or required_steps) falls within the specified [minimum, maximum] interval, and (2) a two-measure statistical correlation result between completed_steps and required_steps across the supplied rows. Up to 200 rows are processed per call.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_group",
     "date",
     "completed_steps",
     "required_steps"
    ],
    "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
     },
     "required_steps": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "completed_steps": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "required_steps": 1,
     "completed_steps": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "required_steps": 2,
     "completed_steps": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "required_steps": 3,
     "completed_steps": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "required_steps": 4,
     "completed_steps": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "completed_steps",
    "required_steps"
   ],
   "type": "string",
   "default": "completed_steps"
  },
  "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/onboarding-progress-numeric-interval-filter-two-measure-correlation-6015de4a/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)