Skip to main content
Glama

get_cost_analytics

Retrieve detailed cost analytics data over time to analyze spending patterns, track total costs, and calculate averages per request for API usage monitoring.

Instructions

Retrieve detailed cost analytics data over time, including total costs and averages per request

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
time_of_generation_minYesStart time for the analytics period (ISO8601 format, e.g., '2024-01-01T00:00:00Z')
time_of_generation_maxYesEnd time for the analytics period (ISO8601 format, e.g., '2024-02-01T00:00:00Z')
total_units_minNoMinimum number of total tokens to filter by
total_units_maxNoMaximum number of total tokens to filter by
cost_minNoMinimum cost in cents to filter by
cost_maxNoMaximum cost in cents to filter by
prompt_token_minNoMinimum number of prompt tokens
prompt_token_maxNoMaximum number of prompt tokens
completion_token_minNoMinimum number of completion tokens
completion_token_maxNoMaximum number of completion tokens
status_codeNoFilter by specific HTTP status codes (comma-separated)
weighted_feedback_minNoMinimum weighted feedback score (-10 to 10)
weighted_feedback_maxNoMaximum weighted feedback score (-10 to 10)
virtual_keysNoFilter by specific virtual key slugs (comma-separated)
configsNoFilter by specific config slugs (comma-separated)
workspace_slugNoFilter by specific workspace
api_key_idsNoFilter by specific API key UUIDs (comma-separated)
metadataNoFilter by metadata (stringified JSON object)
ai_org_modelNoFilter by AI provider and model (comma-separated, use __ as separator)
trace_idNoFilter by trace IDs (comma-separated)
span_idNoFilter by span IDs (comma-separated)

Implementation Reference

  • src/index.ts:272-327 (registration)
    MCP tool registration for 'get_cost_analytics', including input schema (Zod), description, and handler function that delegates to PortkeyService
    server.tool( "get_cost_analytics", "Retrieve detailed cost analytics data over time, including total costs and averages per request", { time_of_generation_min: z.string().describe("Start time for the analytics period (ISO8601 format, e.g., '2024-01-01T00:00:00Z')"), time_of_generation_max: z.string().describe("End time for the analytics period (ISO8601 format, e.g., '2024-02-01T00:00:00Z')"), total_units_min: z.number().positive().optional().describe("Minimum number of total tokens to filter by"), total_units_max: z.number().positive().optional().describe("Maximum number of total tokens to filter by"), cost_min: z.number().positive().optional().describe("Minimum cost in cents to filter by"), cost_max: z.number().positive().optional().describe("Maximum cost in cents to filter by"), prompt_token_min: z.number().positive().optional().describe("Minimum number of prompt tokens"), prompt_token_max: z.number().positive().optional().describe("Maximum number of prompt tokens"), completion_token_min: z.number().positive().optional().describe("Minimum number of completion tokens"), completion_token_max: z.number().positive().optional().describe("Maximum number of completion tokens"), status_code: z.string().optional().describe("Filter by specific HTTP status codes (comma-separated)"), weighted_feedback_min: z.number().min(-10).max(10).optional().describe("Minimum weighted feedback score (-10 to 10)"), weighted_feedback_max: z.number().min(-10).max(10).optional().describe("Maximum weighted feedback score (-10 to 10)"), virtual_keys: z.string().optional().describe("Filter by specific virtual key slugs (comma-separated)"), configs: z.string().optional().describe("Filter by specific config slugs (comma-separated)"), workspace_slug: z.string().optional().describe("Filter by specific workspace"), api_key_ids: z.string().optional().describe("Filter by specific API key UUIDs (comma-separated)"), metadata: z.string().optional().describe("Filter by metadata (stringified JSON object)"), ai_org_model: z.string().optional().describe("Filter by AI provider and model (comma-separated, use __ as separator)"), trace_id: z.string().optional().describe("Filter by trace IDs (comma-separated)"), span_id: z.string().optional().describe("Filter by span IDs (comma-separated)") }, async (params) => { try { const analytics = await portkeyService.getCostAnalytics(params); return { content: [{ type: "text", text: JSON.stringify({ summary: { total_cost: analytics.summary.total, average_cost_per_request: analytics.summary.avg }, data_points: analytics.data_points.map(point => ({ timestamp: point.timestamp, total_cost: point.total, average_cost: point.avg })), object: analytics.object }, null, 2) }] }; } catch (error) { return { content: [{ type: "text", text: `Error fetching cost analytics: ${error instanceof Error ? error.message : 'Unknown error'}` }] }; } } );
  • Core handler function in PortkeyService that constructs query parameters and fetches cost analytics data from Portkey API endpoint /analytics/graphs/cost
    async getCostAnalytics(params: CostAnalyticsParams): Promise<CostAnalyticsResponse> { try { const queryParams = new URLSearchParams({ time_of_generation_min: params.time_of_generation_min, time_of_generation_max: params.time_of_generation_max, ...(params.total_units_min && { total_units_min: params.total_units_min.toString() }), ...(params.total_units_max && { total_units_max: params.total_units_max.toString() }), ...(params.cost_min && { cost_min: params.cost_min.toString() }), ...(params.cost_max && { cost_max: params.cost_max.toString() }), ...(params.prompt_token_min && { prompt_token_min: params.prompt_token_min.toString() }), ...(params.prompt_token_max && { prompt_token_max: params.prompt_token_max.toString() }), ...(params.completion_token_min && { completion_token_min: params.completion_token_min.toString() }), ...(params.completion_token_max && { completion_token_max: params.completion_token_max.toString() }), ...(params.status_code && { status_code: params.status_code }), ...(params.weighted_feedback_min && { weighted_feedback_min: params.weighted_feedback_min.toString() }), ...(params.weighted_feedback_max && { weighted_feedback_max: params.weighted_feedback_max.toString() }), ...(params.virtual_keys && { virtual_keys: params.virtual_keys }), ...(params.configs && { configs: params.configs }), ...(params.workspace_slug && { workspace_slug: params.workspace_slug }), ...(params.api_key_ids && { api_key_ids: params.api_key_ids }), ...(params.metadata && { metadata: params.metadata }), ...(params.ai_org_model && { ai_org_model: params.ai_org_model }), ...(params.trace_id && { trace_id: params.trace_id }), ...(params.span_id && { span_id: params.span_id }) }); const response = await fetch( `${this.baseUrl}/analytics/graphs/cost?${queryParams.toString()}`, { method: 'GET', headers: { 'x-portkey-api-key': this.apiKey, 'Accept': 'application/json' } } ); if (!response.ok) { throw new Error(`HTTP error! status: ${response.status}`); } return await response.json() as CostAnalyticsResponse; } catch (error) { console.error('PortkeyService Error:', error); throw new Error('Failed to fetch cost analytics from Portkey API'); } }
  • TypeScript interfaces defining input parameters (CostAnalyticsParams), response (CostAnalyticsResponse), data points, and summary for cost analytics
    interface CostDataPoint { timestamp: string; total: number; avg: number; } interface CostSummary { total: number; avg: number; } interface CostAnalyticsResponse { object: 'analytics-graph'; data_points: CostDataPoint[]; summary: CostSummary; } interface CostAnalyticsParams { time_of_generation_min: string; // ISO8601 format time_of_generation_max: string; // ISO8601 format total_units_min?: number; total_units_max?: number; cost_min?: number; cost_max?: number; prompt_token_min?: number; prompt_token_max?: number; completion_token_min?: number; completion_token_max?: number; status_code?: string; weighted_feedback_min?: number; weighted_feedback_max?: number; virtual_keys?: string; configs?: string; workspace_slug?: string; api_key_ids?: string; metadata?: string; ai_org_model?: string; trace_id?: string; span_id?: string; }
  • Zod schema for input validation of the 'get_cost_analytics' tool parameters in MCP registration
    { time_of_generation_min: z.string().describe("Start time for the analytics period (ISO8601 format, e.g., '2024-01-01T00:00:00Z')"), time_of_generation_max: z.string().describe("End time for the analytics period (ISO8601 format, e.g., '2024-02-01T00:00:00Z')"), total_units_min: z.number().positive().optional().describe("Minimum number of total tokens to filter by"), total_units_max: z.number().positive().optional().describe("Maximum number of total tokens to filter by"), cost_min: z.number().positive().optional().describe("Minimum cost in cents to filter by"), cost_max: z.number().positive().optional().describe("Maximum cost in cents to filter by"), prompt_token_min: z.number().positive().optional().describe("Minimum number of prompt tokens"), prompt_token_max: z.number().positive().optional().describe("Maximum number of prompt tokens"), completion_token_min: z.number().positive().optional().describe("Minimum number of completion tokens"), completion_token_max: z.number().positive().optional().describe("Maximum number of completion tokens"), status_code: z.string().optional().describe("Filter by specific HTTP status codes (comma-separated)"), weighted_feedback_min: z.number().min(-10).max(10).optional().describe("Minimum weighted feedback score (-10 to 10)"), weighted_feedback_max: z.number().min(-10).max(10).optional().describe("Maximum weighted feedback score (-10 to 10)"), virtual_keys: z.string().optional().describe("Filter by specific virtual key slugs (comma-separated)"), configs: z.string().optional().describe("Filter by specific config slugs (comma-separated)"), workspace_slug: z.string().optional().describe("Filter by specific workspace"), api_key_ids: z.string().optional().describe("Filter by specific API key UUIDs (comma-separated)"), metadata: z.string().optional().describe("Filter by metadata (stringified JSON object)"), ai_org_model: z.string().optional().describe("Filter by AI provider and model (comma-separated, use __ as separator)"), trace_id: z.string().optional().describe("Filter by trace IDs (comma-separated)"), span_id: z.string().optional().describe("Filter by span IDs (comma-separated)") },

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/r-huijts/portkey-admin-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server