optimise_routes

shallow

ai.mapmap/mapmap · Verify this server

Optimise multi-vehicle, multi-stop delivery plans (VRP). Provide `vehicles` (id, start/end, capacity, skills, time_window), `jobs` (id, location, service_s, delivery/pickup, skills, time_windows) and/or `shipments` (pickup+delivery pairs that ride the same vehicle). Costing "auto", "truck", "bicycle", "pedestrian" or "motor_scooter" (cargo-bike and courier fleets welcome): with a `truck` profile (dimensions + ADR declaration, as in `route`), the travel-time matrix respects dimensional and dangerous-goods restrictions, so every optimised route is truck-legal. Returns a summary, unassigned tasks and per-vehicle routes with ordered steps (arrival_s/duration_s in seconds, distance_m in metres). Fair use: at most 200 unique locations per problem, and no wider than the routing engine's 400 km matrix span.

100.0/100

1 trials · measured 2 days ago

optimise_routes scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against ai.mapmap/mapmap, measured 31 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
self-provisionable
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-31100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: optimise_routes
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optimise_routes — Vouch