# Protein Measurements Missingness Co-occurrence Analyzer

> Protein Measurements Missingness Co-occurrence Analyzer is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.020314/call, status unknown (last checked 2026-10-20).

Counts paired missing values across owner, revision, and content pins in protein/isoform/sequence-pinned measurement records without silently treating missing as matching

## Facts

- Endpoint: POST https://www.mahastrategies.com/api/v1/compute/protein-measurements/missingness-cooccurrence?utm_source=zero.xyz
- Price: $0.020314/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/protein-measurements-missingness-co-occurrence-analyzer-660cdf75
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DqQAxEbOdQdcXbtCbdht9

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 protein-measurements-missingness-co-occurrence-analyzer-660cdf75 -d '<json body>'
```

Example prompt: Check these 10 protein measurement records (public data, non-personal metadata only) for co-occurring missing pins — I want to know which rows have paired absences across owner, revision, and content pin fields without treating any missing value as a match.

## When to prefer this

Choose this endpoint when you need to audit protein, isoform, or sequence-pinned measurement records specifically for co-occurring missing pin values (owner, revision, content) and want explicit counts rather than silent null-equals-null treatment. Ideal for pre-publication data quality checks, pipeline integrity validation, and catching silent matching bugs in proteomics datasets with up to 32 rows of public or synthetic non-personal data.

## Known failure modes

- Rows array exceeds 32-item limit — returns validation error
- dataClass not set to 'public' or 'synthetic' — enum validation failure
- nonpersonalMetadata not set to true (const) — request rejected
- Empty rows array (minItems:1 violated) — validation error
- Malformed row objects — parsing or schema validation error

## How this service works

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

## Output

Returns counts and details of paired missing values across owner, revision, and content pin fields for each submitted protein/isoform/sequence-pinned measurement row, without conflating missing values as matching — effectively a co-occurrence matrix of missingness per pin type.

## 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/protein-measurements-missingness-co-occurrence-analyzer-660cdf75/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)