# Liquidity Observations — Exact Row Deduplication + Date by Category Pivot

> Liquidity Observations — Exact Row Deduplication + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Deduplicates liquidity observation records and generates a date-by-instrument-group pivot table for base_quantity or quote_quantity fields, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-10-052?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/liquidity-observations-exact-row-deduplication-date-by-category-pivot-132df6d2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hEKGHtS3US4jK3hQlbpUf

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 liquidity-observations-exact-row-deduplication-date-by-category-pivot-132df6d2 -d '<json body>'
```

Example prompt: I have up to 200 liquidity observation rows — each with a row_id, date, instrument_group, base_quantity, and quote_quantity — can you deduplicate them exactly and give me a date-by-instrument-group pivot on base_quantity?

## When to prefer this

Choose this endpoint when you have up to 200 liquidity observation records with instrument group and date dimensions and need both exact duplicate removal and a cross-tabulated pivot view in a single low-cost call. It is ideal for DeFi or traditional finance liquidity supply analytics where data quality (deduplication) and dimensional summarization (date × category) are needed together without any live market data or external dependencies.

## Known failure modes

- Input rows exceed 200 items — request rejected
- Missing required fields (row_id, date, instrument_group, base_quantity, quote_quantity) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- base_quantity or quote_quantity values outside ±1,000,000,000,000 are rejected
- Invalid field enum value (must be 'base_quantity' or 'quote_quantity') causes error
- Empty rows array (minItems:1 not met) returns error

## How this service works

Liquidity observations — Exact row deduplication + Date by category pivot: Exact row deduplication + Date by category pivot for supplied liquidity observations records (base_quantity, quote_quantity). 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) a deduplicated set of liquidity observation records with exact duplicate rows removed, and (2) a pivot table cross-tabulating dates against instrument groups with aggregated values for the selected field (base_quantity or quote_quantity). Both reports are computed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/liquidity-observations-exact-row-deduplication-date-by-category-pivot-132df6d2/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)