cluster_points

ai.easyterritory/ezt-mcp · Verify this server

[Tier 1 — Balanced Point Grouping] Partition one ingested point layer directly into balanced point groups with CCPD, without using ZIPs/counties or creating a TAL. The tool adds group_field (default group_id) to every point and color-classifies that field in the linked Map Component. That write replaces the layer's existing color classification (including a leftover color_classification ramp). Size and shape channels stay. Keep a prior metric as a second encoding with configure_map channel=size or channel=shape after this job — never a second color classification on the same layer. Example — five TX point groups balanced on workload with confirmed 30-minute dwell: point_layer=accounts, build_mode={mode: fixed_territory_count, territory_count: 5}, objective={workload_bias: 100}, dwell_time={type: scalar, value: 30, unit: minutes}. Prerequisite: ingest_accounts completed for point_layer. Omit ts and ts_handle when the session id argument is already set. That session is the TS. Ask the same sizing, balance, bias, visit-frequency, and dwell questions; workload means in-group drive time plus dwell, never a metric column. Never invent dwell. build_mode supports fixed_territory_count and fixed_workload_target only. SUBSET: a named state or region on an already-ingested layer — Florida schools, TX accounts only — uses point_filter on the first call, e.g. point_filter={STATE: FL}. Keys are point properties (one value or a list). Do not re-ingest a filtered extract. Do not pass part_filter or part_scope (those belong to ZIP/part tools). Do not cluster the national layer. Unmatched points stay on the layer with group_field cleared and appear as an Ungrouped legend class. The 10,000-point cap applies after the filter. Empty match is EMPTY_POINT_FILTER; unknown property is UNKNOWN_POINT_PROPERTY. SEEDING BIAS (start locations): when the groups should line up with a set of start locations — technician homes, depots, branch offices — pass seed_point_layer=<that layer>. It must be a SECOND ingested point layer, not point_layer. Each seed anchors exactly ONE group, so the seed count must match the group count (fixed_workload_target must derive that same count) or the call fails INVALID_REQUEST with blocked_by=seed_count_mismatch. seed_attraction (0-100, default 70) controls the hold on each group centroid: 100 pins it at its seed, 0 lets the seeds pick only the starting points and the solver drift to the workload centroid. Groups stay workload/metric balanced either way — seeds carry NO workload and are never members of the group they anchor. Both layers receive the same group_field value and the same per-group color, so a technician home paints in its group's color; read result.seed_summary.groups for each pairing plus seed_to_centroid_km. Example — 10 technician homes anchor 10 workload-balanced account groups: point_layer=accounts, seed_point_layer=technician_homes, seed_attraction=100, build_mode={mode: fixed_territory_count, territory_count: 10}. This tool does not spatially join points to parts and does not produce a TAL. Use auto_build for territories. Follow the returned task. The result lists groups (group_id, point_count, workload_hours, point_ids). Full atom: ezt://guidance/workflows/cluster-points. Scenarios: CP-001..005.