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Intention Threshold Sweep
x402
Intention Threshold Sweep is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.073/call, status unknown (last checked 2026-10-20).
Sweeps up to 24 declared classification thresholds across labelled score sequences, reporting false-positive events, active time, intention misses, and first-active latency across contiguous trials.
Price / call$0.073
Success—
StatusUnknown
How this service works
Replay up to 24 declared thresholds over at most 512 labelled scores in contiguous half-open trials. Reports rest rising-edge false events, rest active time, intention misses and first-active latency. State carries across trials; scores are held to the next sample. Held-out status is declared, not verified. No automatic selection or live control.
Output
Returns a structured result per threshold including rising-edge false event counts, rest active time, intention miss counts, and first-active latency, along with trial boundary markers, input digest, receipt digest, version, and offer ID for auditability.
Example use cases
Optimizing intention detector cutoff
“I have 8 trial sequences of unit-interval intention scores labeled as synthetic data. Can you sweep thresholds at 0.2, 0.35, 0.5, 0.65, and 0.8 using a declared held-out offline split and tell me which threshold gives the fewest intention misses and lowest false event rate?”
Benchmarking first-active latency
“Run a threshold sweep over my 4 public-class trial score arrays with thresholds 0.4, 0.5, and 0.6, using unit-interval scores and declared held-out offline evaluation — I specifically need the first-active latency and rest active time figures for each threshold.”
Auditing false positives across decision boundaries
“I need to audit how many rising-edge false events my intention detection system generates at thresholds 0.25, 0.45, 0.55, 0.75, and 0.9 across 10 synthetic trial sequences with unit-interval scores — use the declared held-out offline split and report rest active time alongside the false event counts.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/micro/intention-threshold-sweep?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to evaluate multiple classification thresholds simultaneously over labelled, contiguous trial sequences with stateful carry-across, particularly for intention detection or signal-detection workloads. It is purpose-built for declared held-out offline evaluation rather than live or adaptive control, making it ideal for reproducible threshold benchmarking on synthetic or public data classes.
Side effects
- Exceeds 24 threshold limit — request rejected
- Exceeds 16 trial array limit — request rejected
- Score values outside unit-interval [0,1] range — validation error
- Invalid dataClass or evaluationSplit enum value — schema error
- Malformed or missing required body fields — 400 error
- Payment authorization failure — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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