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HumanMirror Automata Cloud Credit Optimizer
x402
HumanMirror Automata Cloud Credit Optimizer is a paid API for AI agents from humanmirror.fr, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Analyzes cloud resource usage events and connector context to return a verified optimization decision for autonomous systems.
Price / call$0.01
Success—
StatusUnknown
How this service works
HumanMirror est le control plane des agents autonomes : décision avant action, preuve après exécution, routage machine et gouvernance de flotte.
Output
Returns a JSON object with an 'ok' boolean, a 'status' string (e.g. 'verified_success'), and a 'product' label confirming the optimizer ran. Indicates whether the cloud credit allocation decision was verified as optimal for the submitted event and connector context.
Example use cases
Agent fleet cost reduction
“My autonomous agent fleet is firing a 'burst_usage' event across the 'azure-functions' and 'aws-lambda' connectors — can you run the HumanMirror cloud credit optimizer to see if we're spending efficiently?”
Scaling event optimization check
“We just hit a 'scaling_trigger' event in our autonomous pipeline with connectors 'gcp-compute' and 'aws-ec2' available — run the cloud credit optimizer and tell me if the allocation decision comes back verified.”
Connector efficiency audit
“Audit my cloud credit usage for the 'idle_resource' event type across connectors 'azure-blob' and 'gcp-storage' and give me the optimizer's verdict on whether we're running efficiently.”
Technical details
Endpoint
POSThttps://humanmirror.fr/api/x402/automata-cloud-credit-optimizer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, per-event cloud credit optimization decision for autonomous or agentic systems, especially when connectors and event types are known and you want a verified status response. Prefer it over general cloud cost tools when working within the HumanMirror autonomous economy trust framework and paying per-decision via x402.
Side effects
- Missing required 'input' fields (type, method, bodyType, body) returns a validation error
- Invalid method enum value (not POST/PUT/PATCH) causes rejection
- Unrecognized connector names may reduce decision confidence but are accepted
- Malformed JSON body returns a parse error
- Service unavailability returns a non-200 status with no optimization result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"status": "verified_success",
"product": "HumanMirror Cloud Credit Optimizer"
}
}Tags
x402
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