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AI Compute / Neocloud Solvency & Capacity Due-Diligence Gauge
x402
AI Compute / Neocloud Solvency & Capacity Due-Diligence 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 2026-09-13).
Returns a multi-leg due-diligence gauge on a named AI compute / neocloud provider covering lifecycle signals, financing distress indicators, hosted-workload exposure, and cross-validated narrative.
Price / call$0.25
Success—
StatusUnknown
How this service works
[3-LEG] AI compute neocloud chain, one provider (?entity=coreweave): leading financing distress - layoffs, lease default, funding failure -> current current operating status -> realized lifecycle to wind-down, acquisition or bankruptcy (confirmation gate). A sequential chain, not one reading - confidence = how many legs are lit, in order. Sources: filings and official announcements. Descriptive only, never a forecast or advice. No data -> 422 no_charge, not billed.
Output
A structured JSON object with named legs (e.g. lifecycle, financing distress, hosted-workload exposure) each containing current signal readings, observation timestamps, data age, and record hashes; a cross-line narrative describing how the signals relate; provenance and freshness metadata with cadence-aware staleness labels; optional offline-verifiable citations with Ed25519 signatures and issuer DIDs; decision points indicating which entity tags can be swapped for a re-run; and an honest scope/grade disclosure noting this is screening-level observation, not investment advice.
Example use cases
Pre-contract neocloud vendor vetting
“Before we sign with Lambda Labs for our GPU cluster, can you pull the full due-diligence gauge on them — lifecycle status, any fundraising stalls or GPU-debt signals, and what happens to our workloads if they go under?”
VC infra-risk screening before term sheet
“We're about to lead a round in an AI lab that runs everything on CoreWeave. Can you give me the neocloud solvency gauge on CoreWeave so I can understand the downstream cascade risk to the portfolio company?”
Ongoing monitoring alert for hosted AI workloads
“We have production models running on Voltage Park — can you check the latest distress signals on them: any layoff reports, lease violations, fundraising trouble, or capacity warnings I should know about right now?”
Technical details
Endpoint
GEThttps://aeml-x402.zeabur.app/gauge/aicompute-regionWhen to prefer
Use this endpoint when you need a consolidated, multi-signal solvency and capacity risk gauge on a specific neocloud or GPU-cloud provider — especially when preparing to commit AI workloads, conduct infrastructure VC due diligence, or monitor an existing vendor relationship. Prefer it over generic news search or single-signal financial APIs because it bundles lifecycle, financing distress, and hosted-workload cascade risk into a single structured response with verifiable provenance and cadence-aware freshness, purpose-built for AI agents and infra-decision workflows.
Side effects
- Unknown or misspelled entity parameter returns an error or empty legs
- Data for a neocloud with limited public filings may return stale or sparse legs
- Freshness marked 'stale' if the underlying official source has not published new data within cadence thresholds
- Citation verification may fail if the upstream docket or source URL is offline
- Payment not processed via x402 returns 402 Payment Required before any data is served
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| input | object | |
| output | object |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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