# Account Research Coverage — Trailing Mean Series & Two-Measure Correlation

> Account Research Coverage — Trailing Mean 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 2026-10-15).

Computes a trailing moving-average time series and a Pearson/correlation report between researched_accounts and target_accounts for up to 200 rows of supplied account research coverage data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-08-150?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-trailing-mean-series-two-measure-correlation-502920ce
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6DLTJjRsRKCCeIlzZ9HQV

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-trailing-mean-series-two-measure-correlation-502920ce -d '<json body>'
```

Example prompt: Can you run a trailing mean series with a window of 3 and a correlation report on my account research coverage data — I have rows with researched_accounts and target_accounts by company group and date, using researched_accounts as the primary field?

## When to prefer this

Choose this endpoint when you have already collected account research coverage data (researched_accounts, target_accounts) locally and need two fast, deterministic statistical outputs — a rolling average time series and a correlation score — without any external API lookups, ML predictions, or professional assessments. It is ideal for sales ops, revenue analytics, or B2B pipeline teams processing up to 200 timestamped rows grouped by company. Prefer it over generic analytics tools when you need a fixed-cost ($0.01 USDC for both reports) computation on structured tabular data with predictable schema.

## Known failure modes

- Fewer than 1 row supplied — minimum row count validation failure
- Window size larger than number of supplied rows — insufficient data for trailing mean computation
- Missing required fields (row_id, date, company_group, researched_accounts, or target_accounts) — schema validation error
- More than 200 rows submitted — exceeds maximum row limit
- Malformed date strings not matching YYYY-MM-DD pattern — pattern validation failure
- Non-numeric values in numeric fields — type validation error

## How this service works

Account research coverage — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation 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

Returns two analytical reports: (1) a trailing moving-average time series for the selected field (researched_accounts or target_accounts) computed over the specified window, and (2) a two-measure correlation report quantifying the statistical relationship between researched_accounts and target_accounts across the supplied rows. Results are based entirely on the user-supplied data with no external lookups or predictions.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/account-research-coverage-trailing-mean-series-two-measure-correlation-502920ce/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)