# Polymer Measurements - Missingness Co-occurrence Analysis

> Polymer Measurements - Missingness Co-occurrence Analysis is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.020319/call, status unknown (last checked 2026-10-16).

Counts co-occurring missing values across owner, revision, and content pins in polymer lot/method-pinned measurement records without treating absent values as matching.

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/compute/polymer-measurements/missingness-cooccurrence?utm_source=zero.xyz
- Price: $0.020319/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/polymer-measurements-missingness-co-occurrence-analysis-2d49880e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_w6nBgL37X6_9WxNlRxKZd

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 polymer-measurements-missingness-co-occurrence-analysis-2d49880e -d '<json body>'
```

Example prompt: Can you check my polymer lot measurement records — up to 32 rows, synthetic data, non-personal metadata only — and count how often owner, revision, and content pins are simultaneously missing without treating absent values as if they matched?

## When to prefer this

Use this endpoint when you need to rigorously audit co-occurring missing pin combinations (owner, revision, content) in polymer lot or method-pinned measurement records, especially when you need to ensure that absent values are never silently treated as matching values. Prefer this over general null-checking tools when the domain is polymer measurements with structured pin metadata.

## Known failure modes

- Input array exceeds 32 rows — request rejected
- dataClass not one of 'public' or 'synthetic' — schema validation error
- nonpersonalMetadata not set to true — request rejected
- Empty rows array — minimum 1 row required
- Malformed row objects missing expected pin fields — computation may return zero counts or error

## How this service works

Count paired missing owner, revision and content pins without silently treating a missing value as a matching value for polymer lot/method-pinned measurement Supplied-record analysis, not independent certification. Full contract at the free describe URL.

## Output

Returns counts of co-occurring missing values across the owner, revision, and content pin fields in the supplied polymer measurement rows, distinguishing genuinely absent paired pins from present ones without silently treating missing as matching.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "maxItems": 32,
   "minItems": 1
  },
  "dataClass": {
   "enum": [
    "public",
    "synthetic"
   ],
   "type": "string"
  },
  "nonpersonalMetadata": {
   "type": "boolean",
   "const": true
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/polymer-measurements-missingness-co-occurrence-analysis-2d49880e/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from www.mahastrategies.com](https://www.zero.xyz/host/www.mahastrategies.com/llms.txt)