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AI Dependency Deprecation Risk Gauge
x402
AI Dependency Deprecation Risk Gauge is a paid API for AI agents from aeml-x402.zeabur.app, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-15).
Returns lifecycle and deprecation risk signals for a named AI model, API, or SDK — including sunset dates, official deprecation notices, and cascading dependency exposure.
Price / call$0.25
Success—
StatusUnknown
How this service works
[3-LEG] AI dependency chain, one dependency (?entity=openai-text-davinci-003): leading deprecation notices INCLUDING the sunset date the publisher itself scheduled -> current current availability -> realized lifecycle to deprecation, days alive (confirmation gate). A sequential chain, not one reading - confidence = how many legs are lit, in order. Sources: vendor notices, source URL per record. Descriptive only, never a forecast or advice. No data -> 422 no_charge, not billed.
Output
A structured JSON object containing: lifecycle status (launch to deprecation/sunset with survival days), official deprecation notices and migration guide references, cascade exposure signals for dependent AI tools, a cross-line narrative comparing signals, provenance metadata with freshness indicators, verifiable record hashes, and an Ed25519-signed citation for zero-trust verification.
Example use cases
Checking model retirement before production deploy
“Before we ship this feature, can you check whether gpt-3.5-turbo-0301 has been officially deprecated, when the sunset date is, and if there's a migration guide we should follow?”
Auditing AI dependency cascade risk
“We use anthropic-claude-instant-1 in three of our internal tools — can you pull its deprecation lifecycle and tell me if there's any cascading risk to downstream AI dependencies?”
Validating advance warning on past model sunset
“I want to know how much advance notice OpenAI gave before deprecating text-davinci-002 — fetch its lifecycle record and show me the official deprecation announcement and how many days it survived.”
Technical details
Endpoint
GEThttps://aeml-x402.zeabur.app/gauge/dependency-regionWhen to prefer
Choose this endpoint when you need a single structured pull of an AI model's, API's, or SDK's full deprecation lifecycle — especially when you need official sunset notices, survival day counts, migration guide references, and cascade risk signals in one verifiable response. Prefer this over general web search when you need machine-readable, cryptographically citable provenance for compliance or automated monitoring workflows.
Side effects
- Unknown entity returns no lifecycle data or empty legs
- Entity not found in tracked index returns an error or null result
- Stale data may be flagged via freshness field as 'stale' when official sources haven't updated
- No official deprecation page exists for some models, limiting notice data
- Payment failure (x402) blocks access before any data is returned
- 422 returned when entity has no applicable signals
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | object | |
| output | object |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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