MCP Metrics: Timeseries Examples

json={
    "startTs": "2026-04-21T00:00:00.000Z",
    "endTs": "2026-04-22T00:00:00.000Z",
    "datasource": "mcpMetrics",
    "type": "timeseries",
    "interval": "1 hour",
    "aggregations": [
        {"type": "count", "column": "mcpServerName"}
    ]
}

json={
    "startTs": "2026-04-21T00:00:00.000Z",
    "endTs": "2026-04-22T00:00:00.000Z",
    "datasource": "mcpMetrics",
    "type": "timeseries",
    "interval": "1 hour",
    "aggregations": [
        {"type": "count", "column": "toolName"}
    ],
    "groupBy": ["toolName"],
    "filters": [
        {"fieldName": "method", "operator": "IN", "value": ["tools/call"]}
    ]
}

json={
    "startTs": "2026-04-21T00:00:00.000Z",
    "endTs": "2026-04-22T00:00:00.000Z",
    "datasource": "mcpMetrics",
    "type": "timeseries",
    "interval": "1 hour",
    "aggregations": [
        {"type": "p99", "column": "latencyMs"}
    ],
    "groupBy": ["mcpServerName"]
}

json={
    "startTs": "2026-04-21T00:00:00.000Z",
    "endTs": "2026-04-22T00:00:00.000Z",
    "datasource": "mcpMetrics",
    "type": "timeseries",
    "interval": "1 hour",
    "aggregations": [
        {"type": "count", "column": "method"}
    ],
    "groupBy": ["method"]
}

json={
    "startTs": "2026-04-21T00:00:00.000Z",
    "endTs": "2026-04-21T06:00:00.000Z",
    "datasource": "mcpMetrics",
    "type": "timeseries",
    "interval": "5 minute",
    "aggregations": [
        {"type": "count", "column": "toolName"},
        {"type": "p99", "column": "latencyMs"}
    ],
    "groupBy": ["toolName"],
    "filters": [
        {"fieldName": "method", "operator": "IN", "value": ["tools/call"]},
        {"fieldName": "mcpServerName", "operator": "IN", "value": ["github-mcp"]}
    ]
}

json={
    "startTs": "2026-04-14T00:00:00.000Z",
    "endTs": "2026-04-21T00:00:00.000Z",
    "datasource": "mcpMetrics",
    "type": "timeseries",
    "interval": "1 day",
    "aggregations": [
        {"type": "count", "column": "toolName"}
    ],
    "filters": [
        {"fieldName": "method", "operator": "IN", "value": ["tools/call"]}
    ]
}

json={
    "startTs": "2026-04-21T00:00:00.000Z",
    "endTs": "2026-04-22T00:00:00.000Z",
    "datasource": "mcpMetrics",
    "type": "timeseries",
    "interval": "1 hour",
    "aggregations": [
        {"type": "count", "column": "toolName"}
    ],
    "groupBy": ["team"],
    "filters": [
        {"fieldName": "method", "operator": "IN", "value": ["tools/call"]},
        {"fieldName": "team", "operator": "ARRAY_HAS_ANY", "value": ["team-alpha", "team-beta"]}
    ]
}

json={
    "startTs": "2026-04-21T00:00:00.000Z",
    "endTs": "2026-04-22T00:00:00.000Z",
    "datasource": "mcpMetrics",
    "type": "timeseries",
    "interval": "1 hour",
    "aggregations": [
        {"type": "count", "column": "toolName"},
        {"type": "p99", "column": "latencyMs"}
    ],
    "groupBy": ["mcpServerName", "toolName"],
    "filters": [
        {"fieldName": "method", "operator": "IN", "value": ["tools/call"]},
        {"fieldName": "mcpServerName", "operator": "IN", "value": ["github-mcp", "atlassian-mcp"]},
        {"metadataKey": "environment", "operator": "IN", "value": ["production"]}
    ]
}