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AEML GAUGE History — Seasonal Percentile Projection
x402
AEML GAUGE History — Seasonal Percentile Projection is a paid API for AI agents from aeml-x402.zeabur.app, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-13).
Returns seasonal percentile positioning, frequency, percentile distribution, method, and source for a monitored signal entity
Price / call$0.005
Success—
StatusUnknown
How this service works
Add-on, historical placement: seasonal percentile for the current point, frequency, the percentile table, and the method and source used to compute them. Descriptive only, never a forecast or advice. No data -> 422 no_charge, not billed.
Output
Returns a JSON object with: the signal_id and entity, the observed_at timestamp, seasonal percentile positioning of the current value, frequency distribution showing how often this level has been reached, full percentile thresholds (e.g. p10/p25/p50/p75/p90), methodology and source citation, provenance metadata (freshness, data lineage, age), a verifiable record_hash (sha256), and an Ed25519-signed _citation for offline trust verification. A nature field provides a neutral disclaimer that GAUGE provides observation only, not forecasts or recommendations.
Example use cases
Seasonal context for crypto market positioning
“What seasonal percentile is BTC currently sitting at? Use signal_id crypto.spot and entity btc — I want the frequency, percentile distribution, and method so I can understand how unusual today's level is relative to the same time of year historically.”
Macro indicator seasonal ranking for research
“Can you check what historical seasonal percentile US unemployment is at right now? Signal is macro.unemployment and entity is us — give me the full percentile positioning, how often it's been at this level, and the data source.”
Shipping route disruption historical context
“How does the current Hormuz route disruption signal compare to its seasonal history? I need the percentile rank, frequency distribution, and source — signal_id is shipping.route-disruption and entity is hormuz.”
Technical details
Endpoint
GEThttps://aeml-x402.zeabur.app/gauge/historyWhen to prefer
Use this endpoint when you need to understand how a current signal reading compares to its own seasonal historical distribution — not just its raw value, but its percentile rank within the same calendar period across years. Prefer this over the base /gauge endpoint when seasonal context and frequency positioning are the primary need. Use alongside /gauge/ruler for official threshold context or /gauge for the full core snapshot. Best when the question is 'is this historically unusual for this time of year?'
Side effects
- Missing or invalid signal_id returns 422 or error — must use valid ASCII binomial notation like crypto.spot
- Missing or invalid entity returns 422 — entity must be a known catalog entry (check /gauge/catalog)
- Signal has no seasonal history data available — returns null history field
- Data source is stale or frozen — provenance.freshness will show 'stale' and dead_source may be set
- Signal exists but has no seasonal percentile method defined — may return null or 422
- Payment not fulfilled — x402 payment required; unpaid requests return 402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | object | |
| output | object |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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