# Account Research Coverage — Numeric Interval Filter + Secondary-Measure Weighted Mean

> Account Research Coverage — Numeric Interval Filter + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Filters account research coverage rows by a numeric interval and computes a weighted mean of a secondary measure, returning two analytical reports for up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-08-132?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/account-research-coverage-numeric-interval-filter-secondary-measure-0143711c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ubTS95WrFy3FGORSPuj2x

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 account-research-coverage-numeric-interval-filter-secondary-measure-0143711c -d '<json body>'
```

Example prompt: Can you filter my account research coverage rows where researched_accounts falls between 5 and 50, then compute the weighted mean of target_accounts? I have 4 rows: row-1 for group-a on 2026-10-01 with target_accounts=1 and researched_accounts=10, row-2 for group-b on 2026-10-02 with target_accounts=2 and researched_accounts=20, row-3 for group-a on 2026-10-03 with target_accounts=3 and researched_accounts=15, row-4 for group-b on 2026-10-04 with target_accounts=4 and researched_accounts=30.

## When to prefer this

Choose this endpoint when you have up to 200 rows of account research coverage data (with researched_accounts and target_accounts fields) and need both a numeric interval filter and a weighted mean of a secondary measure in a single call. It is ideal for sales ops or B2B analytics workflows where you want to slice coverage records by a value range and immediately summarize the secondary metric. It does not perform live data lookups, predictions, or external enrichment — all computation is on supplied data only.

## Known failure modes

- Input rows array is empty or missing — returns error
- Row count exceeds 200 — rejected
- minimum greater than maximum — may return empty filter result
- required row fields (row_id, date, company_group) missing — validation error
- date field not in YYYY-MM-DD format — schema validation failure
- numeric fields exceed allowed range (±1,000,000,000,000) — rejected
- field enum value not one of researched_accounts or target_accounts — rejected

## How this service works

Account research coverage — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean for supplied account research coverage records (researched_accounts, target_accounts). 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) rows from the input dataset where the selected field (researched_accounts or target_accounts) falls within the specified [minimum, maximum] interval, and (2) the weighted mean of the secondary measure computed over those filtered rows. Results are derived entirely from the supplied data using local analytical engines — no external lookups are performed.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "researched_accounts",
     "target_accounts"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "target_accounts": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "researched_accounts": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "target_accounts": 1,
     "researched_accounts": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "target_accounts": 2,
     "researched_accounts": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "target_accounts": 3,
     "researched_accounts": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "target_accounts": 4,
     "researched_accounts": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "researched_accounts",
    "target_accounts"
   ],
   "type": "string",
   "default": "researched_accounts"
  },
  "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/account-research-coverage-numeric-interval-filter-secondary-measure-0143711c/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)