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Reading Plans - Missingness Co-occurrence Analysis
x402
Reading Plans - Missingness Co-occurrence Analysis is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.02034/call, status unknown (last checked 2026-10-20).
Counts paired missing values across owner, revision, and content pins in reading plan records, detecting co-occurring missingness without conflating absent values with matching values.
Price / call$0.02034
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 library/plan/work/edition/revision-pinned reading Supplied-record analysis, not independent certification. Full contract at the free describe URL.
Output
Returns counts of co-occurring missing values across owner, revision, and content pins for the supplied reading plan rows, identifying which pin fields are simultaneously absent across records without treating missing values as matches.
Example use cases
Audit reading plan record completeness
“I have a batch of up to 20 synthetic reading plan records and I need to know which records have owner, revision, and content pins that are all missing together — can you run a missingness co-occurrence analysis on them so I can see which pin fields are simultaneously absent?”
Validate library edition data before import
“Before we import these public reading plan rows into our library system, can you check them for paired missingness across the owner, revision, and content pins so we catch any silent null-matching issues that could corrupt our data?”
Detect co-occurring null pins in plan revisions
“We have 15 synthetic reading plan rows from a recent export and I'm worried some records have both the owner pin and revision pin missing at the same time — can you run a co-occurrence analysis to count how many rows have each combination of absent pins?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/library/reading-plans/missingness-cooccurrence?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to detect and count paired absences across owner, revision, and content pins in reading plan records specifically — particularly when you need to ensure missing values are not silently treated as matching values. Prefer this over generic data quality tools when working with library/plan/work/edition/revision-pinned records and needing co-occurrence missingness semantics rather than simple null counts.
Side effects
- Exceeds 32-row limit — request rejected with validation error
- nonpersonalMetadata not set to true — request rejected
- Invalid dataClass value outside 'public' or 'synthetic' enum — rejected
- Empty rows array — rejected due to minItems:1 constraint
- Malformed row objects — partial or full analysis failure
- Service unavailable — HTTP 5xx with no analysis returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| dataClass | string | |
| nonpersonalMetadata | boolean |
Tags
x402
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