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Implements MCP server protocol to expose quota endpoints as standardized tools callable from OpenCode IDE, abstracting authentication and API versioning details behind a unified interface.","intents":["Check how many tokens I've used in my current GLM Coding Plan billing period","Determine if I'm approaching my quota limit before making large API calls","Monitor real-time consumption across multiple models in a single plan","Integrate quota checking into my IDE workflow without leaving OpenCode"],"best_for":["Individual developers using Z.ai GLM models with OpenCode IDE","Teams managing shared GLM Coding Plan quotas across developers","LLM application builders needing quota awareness in their development loop"],"limitations":["Requires active Z.ai account with valid Coding Plan subscription","No historical quota tracking — only returns current snapshot, not usage trends over time","Polling-based approach means quota data may lag 30-60 seconds behind actual API consumption","No quota forecasting or burndown prediction based on historical patterns"],"requires":["OpenCode IDE with MCP plugin support","Z.ai API credentials (API key or authentication token)","Active Z.ai GLM Coding Plan with non-zero quota allocation","Network connectivity to Z.ai API endpoints"],"input_types":["authentication credentials (API key)","optional plan identifier or model filter"],"output_types":["JSON structured data with quota metrics","human-readable quota summary (percentage used, tokens remaining)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-opencode-glm-quota__cap_1","uri":"capability://data.processing.analysis.model.specific.usage.breakdown.retrieval","name":"model-specific usage breakdown retrieval","description":"Disaggregates quota consumption by individual GLM model variants (e.g., GLM-4, GLM-3.5-turbo), returning per-model token counts and cost attribution. Queries Z.ai's usage analytics API with model filtering parameters and aggregates results into a structured breakdown, enabling developers to identify which models are consuming quota most heavily.","intents":["See which GLM model variant is consuming the most tokens in my plan","Compare cost-efficiency between GLM-4 and GLM-3.5-turbo based on actual usage","Identify if a specific model is unexpectedly high-usage due to a bug or inefficiency","Allocate quota budgets across team members based on per-model consumption patterns"],"best_for":["Teams optimizing LLM costs by choosing between model tiers","Developers debugging unexpected quota consumption spikes","Engineering leads allocating shared quota budgets across projects"],"limitations":["Breakdown granularity limited to model variant level — no per-endpoint or per-feature attribution","Requires Z.ai API to support model-level usage filtering; older plan tiers may not expose this data","No automatic cost optimization recommendations — returns raw data only"],"requires":["Z.ai API credentials with analytics/usage read permissions","Z.ai Coding Plan with usage analytics enabled (may require premium tier)","OpenCode IDE with MCP plugin support"],"input_types":["optional date range filter (start_date, end_date)","optional model name filter (e.g., 'GLM-4')"],"output_types":["JSON array of model usage objects with fields: model_name, tokens_used, cost_usd, percentage_of_total","CSV export format for spreadsheet analysis"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-opencode-glm-quota__cap_2","uri":"capability://data.processing.analysis.mcp.tool.usage.statistics.aggregation","name":"mcp tool usage statistics aggregation","description":"Collects and aggregates statistics on which MCP tools (function calls) are consuming quota within the Z.ai GLM Coding Plan, returning call counts, average token consumption per tool, and total quota attribution. Implements tool-level telemetry collection by intercepting MCP function call invocations and correlating them with Z.ai API usage logs.","intents":["Identify which MCP tools or functions are the biggest quota consumers in my workflow","Detect if a particular tool is making unexpectedly expensive API calls","Optimize tool implementations by comparing quota cost across similar tools","Track tool usage patterns to understand which integrations are most valuable"],"best_for":["Developers building complex MCP tool chains with multiple integrations","Teams managing shared tool libraries and needing usage accountability","LLM application builders optimizing tool-calling workflows for cost"],"limitations":["Tool attribution requires MCP server to emit telemetry events — not all tools may be instrumented","Aggregation is best-effort; some tool calls may be attributed to parent tools rather than leaf-level functions","No real-time tool usage — data is aggregated on a periodic basis (typically hourly or daily)","Requires Z.ai API to support tool-level usage telemetry; older integrations may not expose this"],"requires":["Z.ai API credentials with tool telemetry read permissions","OpenCode IDE with MCP plugin support and tool telemetry enabled","MCP tools configured with Z.ai GLM backend"],"input_types":["optional tool name filter","optional time window (last_24h, last_7d, last_30d)"],"output_types":["JSON array of tool usage objects with fields: tool_name, call_count, avg_tokens_per_call, total_tokens, cost_usd","ranked list of tools by quota consumption"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-opencode-glm-quota__cap_3","uri":"capability://automation.workflow.quota.limit.alert.threshold.configuration","name":"quota limit alert threshold configuration","description":"Allows developers to set custom warning thresholds (e.g., alert when 80% of quota is consumed) and receive notifications when consumption crosses those thresholds. Implements a polling-based monitor that periodically queries current quota usage and compares against configured thresholds, triggering IDE notifications or webhook callbacks when limits are approached.","intents":["Get notified before I accidentally exhaust my monthly quota","Set up alerts at different thresholds (e.g., 50%, 75%, 90%) to track consumption velocity","Integrate quota alerts into my team's Slack or email notification system","Prevent production outages by stopping API calls when quota is nearly exhausted"],"best_for":["Individual developers managing personal quota budgets","Teams with shared quotas needing early warning systems","Production applications requiring quota-aware rate limiting"],"limitations":["Polling-based monitoring introduces latency — alerts may fire 1-5 minutes after threshold is crossed","No automatic quota enforcement — alerts are informational only, require manual intervention to stop consumption","Threshold configuration is per-user; no team-wide quota governance or approval workflows","Webhook callbacks require external endpoint to be publicly accessible and stable"],"requires":["Z.ai API credentials","OpenCode IDE with MCP plugin support","Optional: webhook endpoint URL for external notifications"],"input_types":["threshold percentage (0-100)","alert channel (IDE notification, webhook, email)","optional webhook URL and authentication credentials"],"output_types":["IDE notification popup","webhook POST request with quota status JSON","email alert (if configured)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-opencode-glm-quota__cap_4","uri":"capability://data.processing.analysis.quota.consumption.trend.analysis.and.forecasting","name":"quota consumption trend analysis and forecasting","description":"Analyzes historical quota consumption patterns over configurable time windows (7 days, 30 days) and projects forward to estimate when quota will be exhausted at current burn rate. Implements time-series analysis by fetching historical usage snapshots from Z.ai API, fitting a linear or exponential regression model, and computing projected depletion date with confidence intervals.","intents":["Forecast when my current quota will run out based on recent consumption patterns","Detect if my quota burn rate is accelerating unexpectedly","Plan quota renewal timing to avoid service interruptions","Identify seasonal or weekly patterns in quota consumption"],"best_for":["Teams managing long-term quota budgets and renewal cycles","Developers monitoring quota health over weeks or months","Production applications needing predictive quota management"],"limitations":["Forecasting accuracy depends on historical data availability — requires at least 7 days of usage history","Linear regression model assumes consumption patterns remain stable; sudden spikes or drops reduce forecast accuracy","No anomaly detection — cannot distinguish between normal variation and genuine consumption changes","Requires Z.ai API to expose historical usage data; some plan tiers may only provide current snapshot"],"requires":["Z.ai API credentials with historical usage data access","At least 7 days of prior quota consumption history","OpenCode IDE with MCP plugin support"],"input_types":["lookback_window (7d, 30d, 90d)","forecast_horizon (days into future to project)"],"output_types":["JSON object with fields: current_usage_percent, daily_burn_rate, projected_depletion_date, confidence_interval","trend chart data (timestamps and usage percentages for visualization)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":30,"verified":false,"data_access_risk":"high","permissions":["OpenCode IDE with MCP plugin support","Z.ai API credentials (API key or authentication token)","Active Z.ai GLM Coding Plan with non-zero quota allocation","Network connectivity to Z.ai API endpoints","Z.ai API credentials with analytics/usage read permissions","Z.ai Coding Plan with usage analytics enabled (may require premium tier)","Z.ai API credentials with tool telemetry read permissions","OpenCode IDE with MCP plugin support and tool telemetry enabled","MCP tools configured with Z.ai GLM backend","Z.ai API credentials"],"failure_modes":["Requires active Z.ai account with valid Coding Plan subscription","No historical quota tracking — only returns current snapshot, not usage trends over time","Polling-based approach means quota data may lag 30-60 seconds behind actual API consumption","No quota forecasting or burndown prediction based on historical patterns","Breakdown granularity limited to model variant level — no per-endpoint or per-feature attribution","Requires Z.ai API to support model-level usage filtering; older plan tiers may not expose this data","No automatic cost optimization recommendations — returns raw data only","Tool attribution requires MCP server to emit telemetry events — not all tools may be instrumented","Aggregation is best-effort; some tool calls may be attributed to parent tools rather than leaf-level functions","No real-time tool usage — data is aggregated on a periodic basis (typically hourly or daily)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.35,"ecosystem":0.5000000000000001,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.904Z","last_scraped_at":"2026-05-03T14:24:00.476Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-opencode-glm-quota","compare_url":"https://unfragile.ai/compare?artifact=npm-opencode-glm-quota"}},"signature":"7I6M6WmvJu4LRu0uOqM3iE+WVu22ZKEUFcAiYSDIfc4humMerct+rm5TrN5MRG7bu/1ARI7gLaIMCZzcJkfqDw==","signedAt":"2026-06-20T17:26:55.209Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-opencode-glm-quota","artifact":"https://unfragile.ai/npm-opencode-glm-quota","verify":"https://unfragile.ai/api/v1/verify?slug=npm-opencode-glm-quota","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}