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TELAGO Korea Execution Intelligence API
x402
TELAGO Korea Execution Intelligence API is a paid API for AI agents from telago-x402-discovery.vercel.app, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-17).
Evaluates whether a human courier, field technician, or delivery/service robot can physically execute a last-meter delivery or site visit at a Korea address, returning a decision and list of unknown physical barriers.
Price / call$0.005
Success—
StatusUnknown
How this service works
Pay-per-call Korea execution intelligence for AI agents: address geocoding, building access, last-meter delivery, field service, robotics and cross-border logistics.
Output
Returns a JSON object with an 'ok' boolean, a 'decision' field (e.g. MEASURE, PROCEED, BLOCK), a 'reasons' array explaining what matched or failed (e.g. BUILDING_MATCHED, ROBOT_PHYSICAL_CLEARANCE_NOT_YET_EVIDENCED), and an 'unknowns' array listing physical factors not yet confirmed (e.g. door_clear_width_mm, elevator_robot_control_or_human_assist, site_permission).
Example use cases
Robot delivery floor clearance check
“Before we dispatch our service robot to 서울특별시 송파구 올림픽로 300, I need to know if it can physically get to floor 5 — flag any unknown barriers like elevator width or threshold height that might block it.”
Field technician site visit validation
“I'm scheduling a field technician visit to 부산광역시 해운대구 센텀중앙로 55 — can you check whether they can access the site and what unknowns I should resolve before sending them out?”
Human courier entrance delivery feasibility
“Can a human courier deliver a large package to the entrance of 인천광역시 연수구 컨벤시아대로 165? Check the building match and let me know what permission or access unknowns exist.”
Technical details
Endpoint
GEThttps://telago-x402-discovery.vercel.app/korea-physical/execution-context?utm_source=zero.xyzWhen to prefer
Use this endpoint when dispatching autonomous robots, human couriers, or field technicians for last-meter delivery or site visits specifically in South Korea, and you need a structured feasibility assessment of physical building access conditions before committing resources. Prefer this over generic geocoding APIs when the unknown physical factors (elevator width, door clearance, site permissions) are operationally relevant to your dispatch decision.
Side effects
- Address not recognized or not normalized — returns building not matched
- Invalid floor number outside -10 to 200 range — schema validation error
- Unsupported action/actor combination — may return decision BLOCK with reason
- Incomplete address string — low confidence match or rejection
- Service unavailable on Vercel deployment — HTTP 5xx
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"reasons": [
"BUILDING_MATCHED",
"ROBOT_PHYSICAL_CLEARANCE_NOT_YET_EVIDENCED"
],
"decision": "MEASURE",
"unknowns": [
"door_clear_width_mm",
"threshold_height_mm",
"elevator_robot_control_or_human_assist",
"site_permission"
]
}
}Tags
x402
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