# Account Research Coverage — Numeric Interval Filter + Adjacent Row Changes

> Account Research Coverage — Numeric Interval Filter + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Filters account research coverage rows by a numeric interval on a chosen field and reports adjacent row changes, producing two analytical reports for up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-08-127?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/account-research-coverage-numeric-interval-filter-adjacent-row-changes-2747b25c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_mjVllUykoNHFWQCmEsk2s

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-adjacent-row-changes-2747b25c -d '<json body>'
```

Example prompt: I have 4 account research coverage records across two company groups (group-a and group-b) from 2026-10-01 to 2026-10-04 with researched_accounts and target_accounts values — can you filter the researched_accounts field to only rows between 0 and 100 and also show me how each row's value changes from the one before it?

## When to prefer this

Choose this endpoint when you have up to 200 pre-collected account research coverage records (with researched_accounts and target_accounts fields) and need both a numeric range filter and a sequential row-change report in a single low-cost call. It is ideal for offline/batch analysis of CRM exports or sales pipeline snapshots where no live lookup or external enrichment is needed. Prefer alternatives when you need real-time data fetching, more than 200 rows, or different analytical operations such as deduplication or string normalization.

## Known failure modes

- Rows array is empty or missing — validation error returned
- row_id values are not unique — may cause ambiguous adjacent-row comparisons
- date strings don't match YYYY-MM-DD pattern — schema validation failure
- minimum is greater than maximum — interval returns no matching rows
- More than 200 rows supplied — request rejected with maxItems error
- Null values in target_accounts or researched_accounts — nulls may be excluded from interval filter or change calculation

## How this service works

Account research coverage — Numeric interval filter + Adjacent row changes: Numeric interval filter + Adjacent row changes 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 filtered to those where the chosen field (researched_accounts or target_accounts) falls within the specified [minimum, maximum] interval, and (2) a change report showing value differences between adjacent rows for the same field — all computed locally from the supplied data, up to 200 rows, with no external lookups.

## 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-adjacent-row-changes-2747b25c/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)