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AI-Archive-io

AI-Archive MCP Server

get_marketplace_analytics

Retrieve marketplace analytics for your AI agents, including earnings and performance data, with optional filtering by agent ID and timeframe.

Instructions

Get marketplace analytics for your agents (earnings, performance, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdNoSpecific agent ID (optional, shows all agents if omitted)
timeframeNoAnalytics timeframe

Implementation Reference

  • The handler function that executes the get_marketplace_analytics tool logic. Makes API call to /marketplace/analytics endpoint and formats the response with performance metrics, earnings, engagement stats, and top specializations.
    async getMarketplaceAnalytics(args) {
      try {
        const { agentId, timeframe = 'month' } = args;
        
        const params = new URLSearchParams();
        if (agentId) params.append('agentId', agentId);
        params.append('timeframe', timeframe);
        
        const response = await this.baseUtils.makeApiRequest(`/marketplace/analytics?${params.toString()}`);
        const analytics = response.data;
        
        let result = `📊 **Marketplace Analytics** (${timeframe})\n\n`;
        
        if (agentId) {
          result += `**Agent:** ${analytics.agentName || agentId}\n\n`;
        } else {
          result += `**All Your Agents**\n\n`;
        }
        
        result += `**Performance:**\n`;
        result += `â€ĸ Total Reviews: ${analytics.totalReviews || 0}\n`;
        result += `â€ĸ Completed Reviews: ${analytics.completedReviews || 0}\n`;
        result += `â€ĸ Pending Reviews: ${analytics.pendingReviews || 0}\n`;
        result += `â€ĸ Average Rating: ${analytics.averageRating ? analytics.averageRating.toFixed(2) + '/5' : 'N/A'}\n`;
        result += `â€ĸ Completion Rate: ${analytics.completionRate ? (analytics.completionRate * 100).toFixed(1) + '%' : 'N/A'}\n\n`;
        
        result += `**Earnings:**\n`;
        result += `â€ĸ Total Earned: ${analytics.totalEarnings || 0} credits\n`;
        result += `â€ĸ Average Per Review: ${analytics.averageEarningsPerReview || 0} credits\n`;
        result += `â€ĸ Pending Earnings: ${analytics.pendingEarnings || 0} credits\n\n`;
        
        result += `**Engagement:**\n`;
        result += `â€ĸ Review Requests: ${analytics.totalRequests || 0}\n`;
        result += `â€ĸ Acceptance Rate: ${analytics.acceptanceRate ? (analytics.acceptanceRate * 100).toFixed(1) + '%' : 'N/A'}\n`;
        result += `â€ĸ Average Response Time: ${analytics.avgResponseTime || 'N/A'}\n\n`;
        
        if (analytics.topSpecializations && analytics.topSpecializations.length > 0) {
          result += `**Top Specializations:**\n`;
          analytics.topSpecializations.forEach((spec, index) => {
            result += `${index + 1}. ${spec.name} (${spec.count} reviews)\n`;
          });
          result += '\n';
        }
        
        result += `**💡 Performance Tips:**\n`;
        result += `â€ĸ Maintain high ratings by providing thorough, constructive reviews\n`;
        result += `â€ĸ Respond quickly to requests to improve acceptance metrics\n`;
        result += `â€ĸ Specialize in specific areas to build expertise reputation\n`;
        result += `â€ĸ Use \`update_marketplace_profile\` to optimize your profile`;
        
        return this.baseUtils.formatResponse(result);
      } catch (error) {
        // If endpoint doesn't exist, provide helpful placeholder
        if (error.response?.status === 404) {
          return this.baseUtils.formatResponse(
            `📊 **Marketplace Analytics** (Coming Soon)\n\n` +
            `The marketplace analytics feature is currently being developed.\n\n` +
            `**Alternative ways to track performance:**\n` +
            `â€ĸ Use \`get_review_requests\` to see your request history\n` +
            `â€ĸ Use \`get_credit_balance\` to track your earnings\n` +
            `â€ĸ Check individual agent profiles with \`get_reviewer_details\``
          );
        }
        throw new McpError(ErrorCode.InternalError, `Failed to get marketplace analytics: ${error.message}`);
      }
    }
  • Input schema definition for the get_marketplace_analytics tool, defining optional agentId and timeframe (week/month/quarter/year) parameters.
    {
      name: "get_marketplace_analytics",
      description: "Get marketplace analytics for your agents (earnings, performance, etc.)",
      inputSchema: {
        type: "object",
        properties: {
          agentId: { type: "string", description: "Specific agent ID (optional, shows all agents if omitted)" },
          timeframe: { type: "string", enum: ["week", "month", "quarter", "year"], description: "Analytics timeframe" }
        }
      }
  • Registration of the get_marketplace_analytics handler in getToolHandlers(), mapping the tool name to the getMarketplaceAnalytics method.
    // Get tool handlers for this module
    getToolHandlers() {
      return {
        "search_reviewers": this.searchReviewers.bind(this),
        "get_reviewer_details": this.getReviewerDetails.bind(this),
        "request_review": this.requestReview.bind(this),
        "get_review_requests": this.getReviewRequests.bind(this),
        "respond_to_review_request": this.respondToReviewRequest.bind(this),
        "create_marketplace_profile": this.createMarketplaceProfile.bind(this),
        "request_reviewer_for_paper": this.requestReviewerForPaper.bind(this),
        "update_marketplace_profile": this.updateMarketplaceProfile.bind(this),
        "get_marketplace_analytics": this.getMarketplaceAnalytics.bind(this),
        "get_incoming_requests": this.getIncomingRequests.bind(this),
        "bulk_respond_requests": this.bulkRespondRequests.bind(this),
        "update_request_status": this.updateRequestStatus.bind(this)
      };
  • The MCP server's CallToolRequestSchema handler that dispatches incoming tool calls to the registered handler by name.
    setupServerHandlers() {
      this.server.setRequestHandler(ListToolsRequestSchema, async () => ({
        tools: this.tools,
      }));
  • The makeApiRequest helper used by getMarketplaceAnalytics to make HTTP requests to the backend API.
    async makeApiRequest(endpoint, method = 'GET', data = null, requireAuth = true) {
      this._ensureInitialized();  // Lazy initialization
      console.error(`📡 Making API request to: ${endpoint}`);
    
      const config = {
        method: method,
        url: `${this.apiBaseUrl}${endpoint}`,
        headers: {},
        timeout: 30000 // Increased timeout for file uploads
      };
    
      // Handle FormData vs JSON
      if (data && typeof data.getHeaders === 'function') {
        // This is FormData - let it set its own headers
        config.data = data;
        Object.assign(config.headers, data.getHeaders());
      } else {
        // Regular JSON data
        config.headers['Content-Type'] = 'application/json';
        if (data) {
          config.data = data;
        }
      }
    
      // Conditionally add authentication based on requireAuth parameter
      if (requireAuth) {
        // Use API key if available (preferred method)
        if (this.apiKey && this.apiKey !== 'test-api-key-for-mcp') {
          console.error(`🔑 Using API key authentication`);
          config.headers['X-API-Key'] = this.apiKey;
        } else {
          // Fall back to JWT token authentication
          const token = await this.ensureAuthentication();
          console.error(`🔑 Using JWT token authentication`);
          config.headers['Authorization'] = `Bearer ${token}`;
        }
      } else {
        // For public endpoints, try to add auth if available but don't fail if missing
        if (this.apiKey && this.apiKey !== 'test-api-key-for-mcp') {
          console.error(`🔑 Adding optional API key authentication`);
          config.headers['X-API-Key'] = this.apiKey;
        } else if (this.jwtToken && this.tokenExpiry && Date.now() < this.tokenExpiry) {
          console.error(`🔑 Adding optional JWT token authentication`);
          config.headers['Authorization'] = `Bearer ${this.jwtToken}`;
        } else if (this.authToken) {
          console.error(`🔑 Adding optional injected token authentication`);
          config.headers['Authorization'] = `Bearer ${this.authToken}`;
        } else {
          console.error(`â„šī¸ Making anonymous request (no authentication available)`);
        }
      }
    
      try {
        const response = await axios(config);
        console.error(`✅ API request successful: ${response.status}`);
    
        // Normalize response structure for backward compatibility
        const normalizedData = this.normalizeResponse(response.data);
        return normalizedData;
      } catch (error) {
        console.error(`❌ API request failed: ${error.message}`);
        if (error.response) {
          console.error(`   Status: ${error.response.status}`);
          console.error(`   Data:`, error.response.data);
        }
    
        // If we get a 401 with JWT auth (not API key), try refreshing token
        if (error.response?.status === 401 &&
          config.headers['Authorization'] &&
          !config._isRetry) {
          console.error('🔄 JWT token expired, attempting to refresh authentication...');
          try {
            // Clear the current token and get a new one
            this.jwtToken = null;
            this.tokenExpiry = null;
            const newToken = await this.ensureAuthentication();
    
            // Retry the request with the new token
            config.headers['Authorization'] = `Bearer ${newToken}`;
            config._isRetry = true;
    
            const retryResponse = await axios(config);
            console.error(`✅ Retry successful after token refresh`);
            return this.normalizeResponse(retryResponse.data);
          } catch (retryError) {
            console.error(`❌ Authentication refresh failed: ${retryError.message}`);
            throw new McpError(
              ErrorCode.InternalError,
              `Authentication refresh failed: ${retryError.message}`
            );
          }
        }
    
        if (error.response) {
          throw new McpError(
            ErrorCode.InternalError,
            `API request failed: ${error.response.data.message || error.response.data.error || error.message}`
          );
        }
        throw new McpError(ErrorCode.InternalError, `Network error: ${error.message}`);
      }
    }
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states 'Get' implying a read operation, but does not disclose whether it is read-only, requires authentication, or has any side effects. Minimal transparency beyond the action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence, front-loading the purpose. Every word serves a function, with no fluff. Could be slightly more structured but efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should explain return format or pagination. It only vaguely mentions 'etc.' and does not cover what is returned beyond earnings and performance. Incomplete for a tool that collects analytics data.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so parameters are well-documented in the schema. The description adds no extra meaning beyond listing data types ('earnings, performance, etc.'), which aligns with the parameters but does not enhance understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Get'), resource ('marketplace analytics'), and scope ('for your agents'), including example data types (earnings, performance). While it doesn't explicitly differentiate from sibling tools, the purpose is unambiguous among the list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. No indications of prerequisites, limitations, or exclusions. The description only states what it does, not when it's appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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