Get App Leaderboard ​

GET https://openqiao.com/api/v1/management/statistics/apps/leaderboard

Rank apps and agents (clients and gateways that call 开桥, such as Claude Code, Codex, and LiteLLM) by their usage within a given window, returning the top 10 plus an aggregated "Others" row. Each entry includes the cumulative usage for the window, the period-over-period change, and a 7-day per-day detail series.

The data is identical to the app leaderboard module on the 开桥 Analytics → App page. The difference from Get App Trending: this endpoint ranks by absolute usage, while the trending endpoint ranks by momentum.

Authentication ​

Authorization Header * ​

Authorization: Bearer <OPENQIAO_MANAGEMENT_API_KEY>

• Name: Authorization
• Format: Bearer <API_KEY>
• Description: A Management API Key created in the 开桥 Console

Rate Limiting ​

Each endpoint has its own independent rate limit counter. The maximum number of requests per minute is configured at the platform level. Exceeding the limit returns a 422 error.

Parameters ​

metric string * ​

Which metric to rank by.

• tokens — total input + output token count
• requests — total request count attributed to the App / Agent
• cost — list-price cost in USD

period string ​

The statistics window. All windows end on ending_at (yesterday, T-1, by default).

• 1d — the anchor day alone, compared with the day before (default)
• 7d — sum of the 7 days up to the anchor, compared with the 7 days before that
• 30d — sum of the 30 days up to the anchor, compared with the 30 days before that
• total — cumulative from the data start date 2025-09-29 through the anchor day; no change is computed (growth_rate is 0 and growth_label is an empty string)

ending_at string ​

Anchor business day (inclusive), formatted as YYYY-MM-DD (UTC).

• Default: yesterday (T-1, UTC)
• Must not be later than yesterday (T-1, UTC); data is aggregated daily, so today's data is only available tomorrow
• Must not be earlier than the data start date 2025-09-29

limit integer ​

Maximum number of entries to return, between 1 and 11 (top 10 plus the aggregated "Others" row).

• Default: all entries
• A value larger than the number of available entries behaves the same as omitting it; <= 0 and invalid values are ignored rather than rejected

Constraints ​

• The ranking is fixed at the top 10. Entries ranked 11th and below are aggregated into a single row with app = "__others__" (label = "Others") so shares still add up to 100%. When nothing falls outside the top 10, this row is omitted.
• The change is aligned with period (last 7 days vs. previous 7 days, last 30 days vs. previous 30 days) rather than a fixed single-day comparison.
• data_points always covers the 7 days up to the anchor regardless of period. With period=30d it shows only the final week, not the full window.
• Apps with zero usage in the window are excluded.

Response ​

data.metric string ​

Echo of the requested metric ("tokens", "requests", or "cost").

data.period string ​

Echo of the requested window ("1d", "7d", "30d", or "total").

data.ending_at string ​

The anchor date actually used (YYYY-MM-DD). When ending_at is omitted this is yesterday (T-1, UTC), so you can always tell which day the data belongs to.

data.entries array ​

Apps and agents sorted by cumulative usage in the window, descending. Each entry contains:

• rank integer — 1-based rank
• app string — app/agent identifier (例如 claude-code); __others__ for the aggregated row
• label string — display name, in English
• description string — short description, in English (may be an empty string)
• icon_url string — icon URL (empty string when not configured)
• openqiao_url string — 开桥 integration guide URL (empty string when not configured)
• official_url string — official website URL (empty string when not configured)
• value number — cumulative usage within the window
• growth_rate number — period-over-period change as a percentage value, rounded to 2 decimals (-12.34 means -12.34%); always 0 when the previous period had zero usage or when period=total
• growth_label string — pre-formatted percentage label (例如 "+18.20%"); empty string when the previous period had zero usage or when period=total
• data_points array — per-day detail series for the 7 days up to the anchor, ascending, with missing days filled as 0:
  • period string — business day in YYYYMMDD
  • value number — metric value for that day

curl -G https://openqiao.com/api/v1/management/statistics/apps/leaderboard \
  -H "Authorization: Bearer $OPENQIAO_MANAGEMENT_API_KEY" \
  -d metric=cost \
  -d period=7d \
  -d ending_at=2026-08-23

{
  "success": true,
  "data": {
    "metric": "cost",
    "period": "7d",
    "ending_at": "2026-08-23",
    "entries": [
      {
        "rank": 1,
        "app": "claude-code",
        "label": "Claude Code",
        "description": "Anthropic's official command-line coding assistant",
        "icon_url": "https://cdn.marmot-cloud.com/storage/openqiao/2026/08/17/GxmXP7H/NameClaudeCode.svg",
        "openqiao_url": "https://openqiao.com/docs/best-practices/claude-code.html",
        "official_url": "https://www.anthropic.com/claude-code",
        "value": 23228.3162,
        "growth_rate": 18.2,
        "growth_label": "+18.20%",
        "data_points": [
          { "period": "20260817", "value": 3102.4412 },
          { "period": "20260818", "value": 3288.1043 },
          { "period": "20260819", "value": 3401.7729 },
          { "period": "20260820", "value": 3355.9018 },
          { "period": "20260821", "value": 3390.2277 },
          { "period": "20260822", "value": 3371.5375 },
          { "period": "20260823", "value": 3318.3308 }
        ]
      },
      {
        "rank": 11,
        "app": "__others__",
        "label": "Others",
        "description": "All remaining apps and agents",
        "icon_url": "",
        "openqiao_url": "",
        "official_url": "",
        "value": 1042.8837,
        "growth_rate": -4.51,
        "growth_label": "-4.51%",
        "data_points": [
          { "period": "20260817", "value": 155.2211 },
          { "period": "20260818", "value": 149.8032 },
          { "period": "20260819", "value": 151.4477 },
          { "period": "20260820", "value": 147.9902 },
          { "period": "20260821", "value": 149.1188 },
          { "period": "20260822", "value": 145.3319 },
          { "period": "20260823", "value": 143.9708 }
        ]
      }
    ]
  }
}