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Retrieval Recovery Regression
x402
Retrieval Recovery Regression is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.074001/call, status unknown (last checked 2026-10-16).
Compares complete, partial, and missed evidence recovery across a matched, hash-frozen cohort of up to 64 question-paper pairs, reporting paired transitions and a caller-declared complete-recovery drop threshold.
Price / call$0.074001
Success—
StatusUnknown
How this service works
Compare complete, partial, and missed evidence recovery on one matched, hash-frozen cohort of up to 64 questions and papers. Report paired transitions and a caller-declared complete-recovery drop threshold. Descriptive evidence-ID overlap, not answer quality or causal inference. New modular adapter: retained result recovery for 24 hours, minimal receipt metadata for 90 days. Existing live route unchanged.
Output
Returns paired transition counts between complete, partial, and missed evidence recovery states, descriptive evidence-ID overlap statistics, and a flag indicating whether the caller-declared complete-recovery drop threshold (in basis points) was exceeded. Results are retained for 24 hours; minimal receipt metadata is kept for 90 days.
Example use cases
Retrieval pipeline regression check
“I just updated my evidence retrieval model and want to compare it against the old one on a frozen set of 30 research paper IDs and questions — flag if complete evidence recovery drops more than 200 basis points using public data.”
Partial vs missed evidence audit
“Can you analyze the paired transitions between complete, partial, and missed evidence recovery for my baseline and candidate retrievers across this cohort of 50 question-paper pairs, using synthetic data and corpus hash 'sha256-def456...'?”
Pre-release evidence recovery validation
“Before I ship this new retrieval system, run a recovery regression on these 64 questions and papers with public data, and tell me if any complete-recovery drop exceeds 100 basis points compared to my current baseline.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/context/retrieval/recovery-regression?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compare evidence-ID recovery (complete, partial, missed) between two retrieval configurations on a reproducible, hash-frozen cohort of up to 64 question-paper pairs, and want a caller-declared threshold test for complete-recovery regression. It is not designed for answer quality evaluation or causal inference — use it strictly for descriptive overlap analysis of retrieval outputs.
Side effects
- Mismatched array lengths between questions, paperIds, and evidence (validation error)
- corpusHash mismatch causing cohort freeze failure
- maxCompleteDropBps out of range 0–10000
- questions or paperIds arrays exceeding 64-item limit
- Invalid dataClass value (must be 'public' or 'synthetic')
- Missing required baseline or candidate objects
- Payment failure via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| baseline | object | |
| evidence | array | |
| paperIds | array | |
| candidate | object | |
| dataClass | string | |
| questions | array | |
| corpusHash | string | |
| maxCompleteDropBps | integer |
Tags
x402
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