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Protein Measurements Missingness Co-occurrence Analyzer
x402
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
Price / call$0.020314
Success—
StatusUnknown
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.
Example use cases
Proteomics pipeline data quality audit
“I have up to 30 synthetic protein measurement rows from our isoform pipeline — can you count all the co-occurring missing owner, revision, and content pin combinations so I can see which pairs of fields go missing together?”
Catching silent null-match bugs in measurements
“Before we reuse these public protein assay records, check them for paired missingness across owner and content pins — I don't want any case where two missing values are silently treated as matching.”
Pre-publication protein dataset validation
“We're about to publish this set of sequence-pinned protein measurements marked as public, non-personal metadata — run a missingness co-occurrence check on all 20 rows so we know which pin fields are simultaneously absent.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/protein-measurements/missingness-cooccurrence?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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