Computes free-space loss at one metre, applies a caller-supplied path-loss exponent over distance, then reports estimated receive power and margin against receiver sensitivity. This planning estimate does not model terrain, Fresnel obstruction, interference, antenna mismatch or regulatory duty cycle.
# 1. Ask the endpoint what it costs (no payment, no wallet needed): curl -i -X GET 'https://iot.halowerk.com/v1/lora-coverage' # -> HTTP/1.1 402 Payment Required # the response carries the price, asset and pay-to address. # 2. Pay and retry with any x402 client: npx x402-fetch 'https://iot.halowerk.com/v1/lora-coverage'
Endpoint: https://iot.halowerk.com/v1/lora-coverage. Operated by iot.halowerk.com, not by Animica. Price and availability were correct at the last probe on 2026-09-02 and are set by the operator, who may change them.
Applies a transparent heuristic: cycle fade scales with equivalent full cycles and depth-of-discharge exponent; calendar fade scales with square-root time and a…
Canonicalizes device_id, nonce and message, computes an HMAC-SHA256 tag with caller-supplied ephemeral key material, and optionally compares a claimed tag in co…
Groups caller-supplied scalar field changes by field name, selects the highest version, and reports a conflict when equal-version values differ. It does not con…
Filters caller-supplied bids by CPU, memory and latency constraints, computes workload cost from quoted unit prices, and ranks feasible candidates by total cost…
Computes cohort median, median absolute deviation and robust z-scores for one numeric reading per device. A caller-selected threshold determines flags. It detec…
Computes a deterministic shortest path over caller-supplied directed or bidirectional links with non-negative costs. It does not measure live radio conditions, …
Canonicalizes firmware hash, version, device model and minimum bootloader version, then produces a SHA-256 manifest digest and HMAC-SHA256 release tag using cal…
Computes the minimum Euclidean distance from each circular obstacle center to every path segment, then subtracts obstacle radius and robot radius. It detects pl…
Fits reference = slope × observed + offset with ordinary least squares over paired caller-supplied readings. It reports residual diagnostics and does not claim …