# Budget Program Reach — Numeric Distribution + Trailing Mean Series

> Budget Program Reach — Numeric Distribution + Trailing Mean Series 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).

Computes numeric distribution statistics and a trailing mean time series for budget program reach data (beneficiary_count or spend_amount) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-21-076?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/budget-program-reach-numeric-distribution-trailing-mean-series-2594075b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Re8xlK2Di3wkC4obydxhp

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 budget-program-reach-numeric-distribution-trailing-mean-series-2594075b -d '<json body>'
```

Example prompt: Can you run a numeric distribution and trailing mean series analysis on my budget program reach data — I have 150 rows with beneficiary_count and spend_amount by region and date, and I want to analyze beneficiary_count with a trailing window of 7?

## When to prefer this

Choose this endpoint when you have tabular budget program reach records with beneficiary counts or spend amounts and need both a distributional summary and a smoothed time-series trend in a single low-cost call. Ideal for economists, policy analysts, or program evaluators working with up to 200 rows of regional/temporal data who want offline statistical analysis without building custom pipelines.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit
- Invalid date format (non YYYY-MM-DD) — validation error
- Missing required fields (row_id, region, date, beneficiary_count, spend_amount) — schema error
- Window size larger than number of rows — trailing mean may be undefined or partial
- All values null for selected field — distribution report may be empty or error

## How this service works

Budget program reach — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series for supplied budget program reach records (beneficiary_count, spend_amount). 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 sharing the same input data: (1) a numeric distribution report covering statistical properties (e.g. min, max, mean, percentiles) of the selected field (beneficiary_count or spend_amount), and (2) a trailing mean time series showing the rolling average of the selected field over the specified window size — both computed locally from the supplied rows, no external data fetched.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "region",
     "date",
     "beneficiary_count",
     "spend_amount"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "region": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "spend_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "beneficiary_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "region": "group-a",
     "row_id": "row-1",
     "spend_amount": 1,
     "beneficiary_count": 10
    },
    {
     "date": "2026-10-02",
     "region": "group-b",
     "row_id": "row-2",
     "spend_amount": 2,
     "beneficiary_count": 20
    },
    {
     "date": "2026-10-03",
     "region": "group-a",
     "row_id": "row-3",
     "spend_amount": 3,
     "beneficiary_count": 15
    },
    {
     "date": "2026-10-04",
     "region": "group-b",
     "row_id": "row-4",
     "spend_amount": 4,
     "beneficiary_count": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "beneficiary_count",
    "spend_amount"
   ],
   "type": "string",
   "default": "beneficiary_count"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/budget-program-reach-numeric-distribution-trailing-mean-series-2594075b/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)
