get_employer_report_trend

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Start with get_employer_report_market; this companion read returns the consideration trend buckets for the same selection. The bucket granularity derives from the window (m1=week, m3=fortnight, m6=month). While no consideration supplier exists yet, it honestly returns measurable: false with ZERO points — never bars of lying zeros; when a supplier arrives the same shape fills in. These are the same numbers the web /report page shows (the identical read model — no recomputation). Reading writes nothing: no impressions, no notifications.

Input schema

{
  "type": "object",
  "properties": {
    "jobIds": {
      "minItems": 1,
      "maxItems": 500,
      "type": "array",
      "items": {
        "type": "string",
        "format": "uuid",
        "pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
      },
      "description": "Selected job ids (1..500, unique). Unknown, cross-organization, and UNPUBLISHED ids are silently dropped (fail-closed) — find the organization's published postings with list_job_postings first. There is no all-jobs default: pass every id you want counted."
    },
    "window": {
      "description": "Report window (m1 / m3 / m6); omitted = m1 — the same default the web report uses.",
      "type": "string",
      "enum": [
        "m1",
        "m3",
        "m6"
      ]
    },
    "timeZone": {
      "description": "IANA time zone the window boundary is interpreted in; omitted = \"UTC\". When you need the same numbers a human sees on their report, pass that viewer's time zone.",
      "type": "string"
    }
  },
  "required": [
    "jobIds"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Output schema

{
  "type": "object",
  "properties": {
    "trend": {
      "type": "object",
      "properties": {
        "granularity": {
          "type": "string",
          "enum": [
            "week",
            "fortnight",
            "month"
          ],
          "description": "Trend bucket granularity, derived from the window (m1=week, m3=fortnight, m6=month)."
        },
        "measurable": {
          "type": "boolean"
        },
        "points": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "start": {
                "type": "string",
                "format": "date-time",
                "pattern": "^(?:(?:\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-(?:(?:0[13578]|1[02])-(?:0[1-9]|[12]\\d|3[01])|(?:0[469]|11)-(?:0[1-9]|[12]\\d|30)|(?:02)-(?:0[1-9]|1\\d|2[0-8])))T(?:(?:[01]\\d|2[0-3]):[0-5]\\d(?::[0-5]\\d(?:\\.\\d+)?)?(?:Z))$"
              },
              "count": {
                "type": "integer",
                "minimum": 0,
                "maximum": 9007199254740991,
                "description": "Count (zero-filled)."
              }
            },
            "required": [
              "start",
              "count"
            ],
            "additionalProperties": false
          }
        }
      },
      "required": [
        "granularity",
        "measurable",
        "points"
      ],
      "additionalProperties": false,
      "description": "Consideration trend — granularity derived from the window; measurable false = no supplier yet (zero points, never lying zeros)."
    }
  },
  "required": [
    "trend"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false
}