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Protein Measurements Provenance Edge Audit
x402
Protein Measurements Provenance Edge Audit is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.045314/call, status unknown (last checked 2026-10-16).
Binds protein measurements to their exact dataset, protein, isoform, sequence, and method source by auditing provenance edges on supplied records.
Price / call$0.045314
Success—
StatusUnknown
How this service works
Bind protein measurements to exact dataset/protein/isoform/sequence/method source Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns provenance bindings that link each submitted protein measurement row to its exact dataset, protein identifier, isoform, sequence, and measurement method source, along with any audit flags or attribution gaps detected in the supplied records.
Example use cases
Pre-publication protein data traceability
“Before we submit this paper, I need to verify that all 20 of our synthetic protein measurement records are properly traced back to their source datasets, isoforms, and assay methods — run a provenance edge audit on them.”
QC check on aggregated proteomics rows
“We've aggregated protein measurements from multiple public sources into 30 rows and need to confirm each one has a clear provenance binding to its original protein, sequence, and method before we use them downstream — can you audit the provenance edges?”
Isoform attribution audit for regulatory submission
“I have 25 public protein measurement records and need to document exactly which isoform, sequence, and measurement method each one comes from for our regulatory filing — please run a provenance audit and bind each row to its source.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/protein-measurements/provenance-edge-audit?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to formally audit and document the provenance chain of protein measurement data — specifically binding rows to dataset, isoform, sequence, and method source. Prefer this over generic data validation when the goal is scientific traceability for proteomics data prior to publication, regulatory submission, or downstream analysis pipelines.
Side effects
- Rows array exceeds 32 item limit — request rejected
- Sources array exceeds 32 item limit — request rejected
- dataClass not set to 'public' or 'synthetic' — validation error
- nonpersonalMetadata not set to true (const constraint) — request rejected
- Insufficient or ambiguous source references preventing provenance binding
- Payment of 0.045314 USDC not fulfilled — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| sources | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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