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Protein Measurements Required Field Coverage Check
x402
Protein Measurements Required Field Coverage Check is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010125/call, status unknown (last checked 2026-10-16).
Checks whether required scientific fields (dataset, method, revision, content pins) are present in supplied protein/isoform/sequence measurement records, returning null for missing fields rather than flagging credential or artifact errors.
Price / call$0.010125
Success—
StatusUnknown
How this service works
Check presence of required scientific dataset/method/revision/content pins; null is missing, not an invalid credential or artifact for protein/isoform/sequence-pinned measurement Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a field-level coverage report for each supplied protein measurement row, indicating which required fields (dataset, method, revision, content pins) are present and which are null (missing). Null indicates absence, not an invalid credential or artifact. The response is an analysis of the supplied records only, not an independent certification.
Example use cases
Audit protein dataset before pipeline submission
“I have 20 synthetic protein measurement records and need to verify that 'dataset', 'method', and 'revision' are all present before I submit them to the pipeline — flag any rows where those fields are null.”
Validate isoform records for required content pins
“Run a required field coverage check on these 15 public protein isoform rows and tell me which of the fields 'content_pin', 'method', and 'sequence_id' are missing or null across them.”
Quality gate for protein sequence measurement export
“Before I export these 8 synthetic protein sequence measurement records, check that 'dataset', 'revision', and 'content_pin' are all accounted for — nonpersonalMetadata is true — and report any gaps.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/protein-measurements/required-field-coverage?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to programmatically verify that specific scientific field pins (dataset, method, revision, content) are present in protein, isoform, or sequence measurement records before downstream processing. It is purpose-built for null-detection on required field coverage rather than credential validation, schema transformation, or independent data certification. Prefer this over generic JSON validators when the domain is proteomics or scientific measurement and you need semantic null-versus-missing distinction.
Side effects
- More than 32 rows supplied — request rejected due to maxItems constraint
- Fewer than 1 row supplied — minItems violation
- More than 8 required fields specified — maxItems constraint on requiredFields
- dataClass not one of 'public' or 'synthetic' — enum validation failure
- nonpersonalMetadata not exactly true — const constraint violation
- Malformed row objects — schema validation error
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| requiredFields | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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