matrix

shallow

ai.mapmap/mapmap · Verify this server

Compute a travel time/distance matrix between origins (rows) and destinations (columns). Costing "auto", "truck" (with optional `truck` profile as in `route`), "bicycle", "pedestrian" or "motor_scooter". Returns durations_s[i][j] in seconds and distances_m[i][j] in metres; null cells are unreachable pairs. Up to 10,000 cells per call (origins × destinations). Optional `exclude_polygons` for before/after scenarios ("close this bridge and recompute the matrix"): an array of polygons, each an array of [lon, lat] pairs forming one ring — longitude FIRST — whose intersecting roads are excluded from every cell's path finding. Applies to the Valhalla engine; unsupported on the GraphHopper engine, where it is ignored.

100.0/100

1 trials · measured 2 days ago

matrix 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: matrix
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matrix — Vouch