ALPNAI — Agent Performance Tools

io.github.fredericmagnathy-ops由 GitHub 帳號 fredericmagnathy-ops 發布v0.1.1更新於 Oct 27, 2026

Agent cost, latency and quality analysis, report delivery and order status. Crypto payments paused.

已驗證Streamable HTTP可網頁執行金融資料與分析AI 與機器學習

概覽

AI 產生的概覽

遠端 MCP 伺服器,用來分析 AI 代理的成本、延遲與品質,儲存專案報告,並以 USDC 購買付費分析結果。

可以做什麼
  • 探索可用的分析 API,並讀取免費的附日期範例
  • 依提供的呼叫紀錄稽核每個成功任務的成本,分析延遲與重試開銷
  • 在替換基準前檢查候選工作流程是否出現品質退步
  • 將彙總效能報告儲存到帳戶的 Projects 目標位置
  • 查詢既有訂單,並購買 Snapshot、Change Set 或 Evidence Pack 結果
適用情境
當你已有附成本和成功標籤的代理呼叫紀錄,想比較不同工作流程、找出緩慢或重試過多的環節,或在擴大規模前以品質、延遲與成本門檻判斷能否替換基準時適用。
執行需求
遠端 streamable HTTP 端點 alpnai.com,無需本機安裝。需在 Authorization 標頭提供有效的 ALPNAI 代理金鑰(從服務商起始頁面取得);免費稽核工具需要沙箱金鑰。付費購買需啟用商務功能、擁有者授權與計費資格。
安裝前請注意
Authorization 標頭中的代理金鑰可存取帳戶的工具與報告。付費工具會花費 USDC:purchase_snapshot、purchase_changes 與 purchase_evidence 預設使用沙箱測試預算,但可在啟用 x402 支付的即時模式下實際扣款。save_project_report 會寫入擁有者的 Projects 目標位置,需明確的寫入權限。你提供的呼叫紀錄與成功標籤會傳送給服務商。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 ALPNAI — Agent Performance Tools,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.github.fredericmagnathy-ops%2Falpnai/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "alpnai-agent-performance-tools": {
      "type": "http",
      "url": "https://alpnai.com/api/mcp"
    }
  }
}

工具

10

get_catalog

ALPNAI service catalog

Discover cost, latency and quality analysis APIs, their inputs, outputs, free reproducible example, authentication and current payment availability. No payment or budget debit.

無需輸入參數。

get_free_sample

OpenAI source sample

Read a dated primary-source sample about OpenAI. Not real-time or exhaustive.

無需輸入參數。

audit_agent_costs

Spend Proof cost analysis

Free comparison of cost per successful task on supplied paired traces. Requires a sandbox agent key. No purchase, storage, external model call or automatic deployment. Success labels are supplied by the client.

輸入參數runs必填config

analyze_agent_latency

Latency Lab

Find slow agent workflows and retry overhead before scaling. Supply recorded attempts with task_id, workflow, variant, cost_usd, success and optional latency_ms. Returns P50/P95 of summed recorded attempt durations per task, retry counts, duration coverage and an optional P95 threshold check for each workflow and variant. Missing durations produce null percentiles, not zero latency. This measures supplied durations, not live end-to-end service latency. Free calculation; requires an active ALPNAI agent key; no payment or automatic deployment.

輸入參數runs必填config

check_agent_quality

Quality Gate

Check whether a candidate agent workflow regresses before replacing the baseline. Supply baseline and candidate attempts on matching task IDs with client-provided success labels and costs. Returns observed success rates, task-set matching, sample-size, success, latency and cost gates, plus a decision such as collect_more_data, quality_regression or candidate_for_controlled_trial. Optional thresholds use config. It evaluates the recorded labels, not the correctness of answers or future performance. Free calculation; requires an active ALPNAI agent key; no payment or automatic deployment.

輸入參數runs必填config

save_project_report

Save an agent performance report

Compute and save an aggregate performance report in the fixed Projects destination authorized by the account owner. Uses the existing free or paid report allowance. Requires an active agent key and explicit owner write permission. Reuse request_id with identical content to retry within the same permission grant. No report reading, deletion, subscription or payment authorization. Send measurements without secrets.

輸入參數input必填title必填request_id必填

get_order

ALPNAI order status and delivery

Follow one existing commercial order owned by the authenticated agent, including after commerce is paused. May record a finalized blockchain receipt or release an expired, never-submitted reservation. Does not create an order, authorize spending or submit a payment. Pending results provide the same order ID and Retry-After; repeat get_order, never purchase again. Requires only the existing agent key.

輸入參數order_id必填

purchase_snapshot

Snapshot purchase

Get Snapshot for 0.01 USDC. Default mode sandbox creates a test receipt and debits only the test budget. Explicit mode live uses x402 only when commerce, owner mandate and billing eligibility are enabled. An unpaid result contains PaymentRequired in structuredContent and content. Retry the same tool and idempotency key with the signed PaymentPayload in params._meta["x402/payment"]. Confirmed settlement is returned in result._meta["x402/payment-response"]. For a pending order, call get_order with the original order_id; do not submit another payment. REST continuation and PAYMENT-SIGNATURE headers remain supported. Never send a private key.

輸入參數modesincemandate_ididempotency_key必填

purchase_changes

Change Set purchase

Get Change Set for 0.05 USDC. Default mode sandbox creates a test receipt and debits only the test budget. Explicit mode live uses x402 only when commerce, owner mandate and billing eligibility are enabled. An unpaid result contains PaymentRequired in structuredContent and content. Retry the same tool and idempotency key with the signed PaymentPayload in params._meta["x402/payment"]. Confirmed settlement is returned in result._meta["x402/payment-response"]. For a pending order, call get_order with the original order_id; do not submit another payment. REST continuation and PAYMENT-SIGNATURE headers remain supported. Never send a private key.

輸入參數modesincemandate_ididempotency_key必填

purchase_evidence

Evidence Pack purchase

Get Evidence Pack for 0.25 USDC. Default mode sandbox creates a test receipt and debits only the test budget. Explicit mode live uses x402 only when commerce, owner mandate and billing eligibility are enabled. An unpaid result contains PaymentRequired in structuredContent and content. Retry the same tool and idempotency key with the signed PaymentPayload in params._meta["x402/payment"]. Confirmed settlement is returned in result._meta["x402/payment-response"]. For a pending order, call get_order with the original order_id; do not submit another payment. REST continuation and PAYMENT-SIGNATURE headers remain supported. Never send a private key.

輸入參數modesincemandate_ididempotency_key必填

版本歷史

1
  1. v0.1.1最新Sep 16, 2026

評分

已滿足適用檢查項的 83%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款不適用

    託管服務按其提供方的條款使用,因此這裡不要求授權條款。此檢查項不計入百分比。