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Humanoid FMEA Query — Decision Data Studio
x402
Humanoid FMEA Query — Decision Data Studio is a paid API for AI agents from api.ikoles.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Queries a curated FMEA (Failure Mode and Effects Analysis) dataset for humanoid robots, returning ranked failure modes, risk priority numbers, and recommended controls filtered by subsystem, priority, or evidence type.
Price / call$0.05
Success—
StatusUnknown
How this service works
Local-first data and agent workflow tools from Decision Data Studio, plus verified EU tender shortlists and machine-callable utilities.
Output
Returns a JSON object containing matched FMEA records for humanoid robots, each with: failure mode description, subsystem, function, local and system effects, hazard, severity/occurrence/detection scores, computed RPN, priority level, recommended controls, existing detection methods, verification tests, evidence type and strength, source URL and title, and a single-point failure candidate flag. Also includes metadata: total matched records, returned count, dataset version, generation timestamp, active filters, and a CC BY 4.0 license notice with a disclaimer that results are preliminary research data, not professional safety certification.
Example use cases
Safety audit for robot power subsystem
“Pull up to 10 design-layer FMEA records about battery or power failures in humanoid robots where the RPN is at least 50 and priority is Critical — I need the hazard descriptions and recommended controls for a safety review.”
Evidence review for actuator failures
“Query the humanoid FMEA database for evidence-layer records about actuator or motor failure modes, limit to 8 results, and show me the evidence strength and source URLs for each one.”
Identifying single-point failures before deployment
“Find all High or Critical priority failure modes in the humanoid robot FMEA design layer related to sensing or perception, with a minimum RPN of 40 and up to 15 results — I want to flag any single-point failure candidates before we ship.”
Technical details
Endpoint
POSThttps://api.ikoles.dev/v1/humanoid-fmea-queryWhen to prefer
Choose this endpoint when you need structured, curated FMEA data specifically for humanoid robots — covering both design-review and evidence-backed failure modes — with filterable risk priority numbers, subsystem tags, and recommended controls. Prefer it over generic safety databases when you need machine-callable, agent-friendly FMEA retrieval with per-record source attribution and hazard metadata. It is not a substitute for certified field reliability data or professional safety approvals.
Side effects
- Query string too long (exceeds 200 characters) — request rejected
- minRpn out of range (below 0 or above 1000) — validation error
- limit out of range (below 1 or above 20) — clamped or rejected
- Invalid enum value for layer or priority — bad request error
- No records match the specified filters — empty records array returned
- Service unavailable or payment not processed — 402 or 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| layer | string | |
| limit | integer | |
| query | string | |
| minRpn | number | |
| priority | string | |
| evidenceType | string |
Output
Schema · Response
{
"type": "json",
"example": {
"caveat": "Preliminary research and design-review data; not certification, field reliability evidence, or professional safety approval.",
"filters": {
"limit": 5,
"query": "battery fire",
"minRpn": 30,
"priority": "High"
},
"license": "CC BY 4.0",
"records": [
{
"id": "PWR-01",
"rpn": 40,
"tags": [
"battery",
"fire"
],
"cause": "Internal short, mechanical damage, incompatible charger, overtemperature, or manufacturing defect",
"layer": "design",
"hazard": "Burns, toxic exposure, fire, and property damage",
"function": "store and deliver energy",
"priority": "High",
"severity": 5,
"sourceUrl": "https://example.com/source",
"subsystem": "battery",
"occurrence": 2,
"failureMode": "Battery cell enters thermal runaway",
"localEffect": "Rapid heating, venting, smoke, or fire in pack",
"sourceTitle": null,
"evidenceNote": "Public source",
"evidenceType": "direct",
"systemEffect": "Loss of power and possible propagation to adjacent cells and electronics",
"robotOrDomain": null,
"evidenceLocator": "Electrical warnings",
"evidenceStrength": "direct",
"verificationTest": "Inject representative sensor faults and a controlled thermal excursion",
"existingDetection": "Cell voltage and temperature monitoring",
"detectionDifficulty": 4,
"recommendedControls": "Use certified matched pack and charger; cell-level monitoring; thermal isolation",
"singlePointFailureCandidate": true
}
],
"generatedAt": "2026-07-24T04:00:00.000Z",
"totalRecords": 96,
"datasetVersion": "1.0.0",
"matchedRecords": 7,
"returnedRecords": 1
}
}Tags
x402
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