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Protein Measurements - Condition Coverage Map
x402
Protein Measurements - Condition Coverage Map is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.035156/call, status unknown (last checked 2026-10-16).
Validates that each required control in a protein measurement run has exactly one satisfied control declaration, flagging missing, unknown, duplicate, or wrong-frame controls.
Price / call$0.035156
Success—
StatusUnknown
How this service works
Require exactly one satisfied control declaration for each required control in an exact run/method/revision; missing, unknown, duplicate or wrong-frame controls cannot pass for protein measurement Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns a condition coverage map indicating whether each required control in the run/method/revision combination has exactly one satisfied declaration, along with the status of each control (satisfied, missing, unknown, duplicate, or wrong-frame).
Example use cases
Lab QC pipeline control audit
“Audit the control coverage for protein measurement run 'run-exp-091' at revision 'v2' using method digest 'sha256-deadbeef' — our required controls are ['blank','positive','negative'] and I need to know if any are missing, duplicated, or assigned to the wrong frame. Data class is synthetic.”
Validate pre-publication protein data
“Before we submit this protein measurement dataset, check that run 'run-pub-447' covers all required controls ['ctrl-A','ctrl-B','ctrl-C'] exactly once under revision 'r1.0' and method digest 'md5-feed1234' — flag anything that would fail the condition coverage check. Data class is public.”
Automated multi-revision control check
“For protein measurement run 'batch-run-003' at revision 'v5' with method digest 'sha-7f8e9a', verify condition coverage against required controls ['internal-std','water-blank'] — I need to see which controls are satisfied, which are missing, and which are duplicates. Mark it as public data.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/protein-measurements/condition-coverage-map?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to validate that a protein measurement run has exactly one satisfied control declaration per required control, especially for pre-publication QC, regulatory audit trails, or automated lab pipeline validation. Prefer this over generic data validation endpoints when the domain is specifically protein measurement and control-frame correctness matters.
Side effects
- Missing required controls — one or more requiredControls have no matching declaration in the supplied controls array
- Duplicate controls — a required control appears more than once in the controls array
- Unknown controls — supplied controls reference identifiers not recognized in the method/revision context
- Wrong-frame controls — controls are declared but assigned to an incorrect run or method frame
- Invalid revision or methodDigest — the combination does not resolve to a known run/method pair
- Empty requiredControls array — must contain at least one item
- Controls array exceeds maxItems of 32 or requiredControls exceeds 16
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| runRef | string | |
| controls | array | |
| revision | string | |
| dataClass | string | |
| methodDigest | string | |
| requiredControls | array | |
| nonpersonalMetadata | boolean |
Tags
x402
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