AG

AgentLedger

io.github.entradox/agent-ledger

Meter, cap, and block AI agent spend before the provider is charged.

Yes, your AI can use this right now.Answered a live MCP handshake in 470 ms with no sign-in needed and exposes 18 tools.

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URL: https://aiagentscity.com/mcp/

18 tools, verified live

Pulled straight from the server with tools/list on 2026-10-17.
ledger_rotate_secretcan modify

Mint a NEW agent_secret for an agent_id your workspace already owns, invalidating the old one. Use this to RECOVER an agent whose secret was lost: the previous credential stops working immediately. Requires the workspace_key that owns agent_id — an agent's own agent_secret cannot rotate itself, because a leaked agent credential must not be able to lock its real owner out. Unlike ledger_track th

ledger_revoke_secretcan modify

Invalidate an agent_id's agent_secret WITHOUT deleting its spend history. Use when a credential may have leaked, or to stop an agent writing. Subsequent writes to that agent fail with agent_secret_mismatch until you rotate a new secret in. The agent_id stays claimed, so no other workspace can claim it and inherit the ledger. Requires the workspace_key that owns agent_id. Returns {"agent_id", "re

ledger_track

Record a spend entry for an AI agent on any payment rail, with optional token counts. Claiming a brand-new agent_id requires your workspace_key (get one via x402 at POST /v1/billing/x402 — no human, no login — or at /start). That first call mints an agent_secret and returns it in the response — save it, every later call for that same agent_id must pass it back (no workspace_key needed again

ledger_set_budgetcan modify

Set spending caps for an agent. Warns at 80%, blocks spend when exceeded — enforced: a ledger_track call that would cross the cap is rejected. Dollar caps (monthly_cents/daily_cents) and token caps (monthly_tokens/ daily_tokens) are independent dimensions: dollar caps only cover non-"tokens" rails, token caps only cover rail="tokens" bookkeeping rows (tokens_in/tokens_out). Set both if the agen

ledger_reportread-only

Spend report for an agent over a rolling window. Returns total spend, breakdown by rail and by service, budget status (ok/warning/exceeded), detected anomalies, and entry count. Requires a credential: either the agent's own agent_secret or its workspace's workspace_key (same rule as GET /v1/report).

ledger_proxy_attachread-only

Point your provider traffic at the proxy so budget caps are enforced BEFORE the provider is contacted, instead of being reported afterwards. This closes the gap where the brake was unreachable from MCP: an agent connected over MCP could record spend (ledger_track) but nothing could refuse a call. With this, the cap is enforced on every LLM call. Returns the base_url to use, the two headers to se

ledger_alertsread-only

Alert history for an agent: budget warnings (80% threshold) and spending spikes. Requires a credential: either the agent's own agent_secret or its workspace's workspace_key (same rule as GET /v1/alerts).

ledger_wait_eventsread-only

Long-poll an agent's event feed — how an agent with no public URL receives alerts. Webhooks (POST /v1/webhooks) push events to a URL you own; an agent on stdio MCP cannot host one, so it waits here instead. Call this in a loop: the call holds open up to `timeout` seconds (max 30) and returns when events arrive or the wait lapses. `consumer_id` names this consumer durably — pick a stable one

ledger_check_spendread-only

Ask BEFORE you spend: may this agent spend this much right now? Returns allowed (true/false), a stable reason code (within_budget, over_monthly_cap, over_daily_cap, over_monthly_token_cap, over_daily_token_cap, no_budget_set, unpriced_model), a one-line message, the cost estimate, the price used (with its source and as_of date) and every budget window with cap, spent and remaining. Same decision

ledger_request_approval

Ask your workspace owner for a one-shot spend exception before a ledger_track that the cap would refuse. Creates a pending permit for exactly amount_cents on the given service. The owner (a human, or a supervisor agent holding the workspace_key) approves or denies it with ledger_approval_decide. An APPROVED permit is consumed by the next ledger_track for this agent whose amount fits inside it —

ledger_approvalsread-only

List spend-approval permits — yours, or your whole workspace's.

ledger_approval_decidecan modify

Approve or deny a pending spend permit — workspace owner only. The agent's own agent_secret can REQUEST an approval but can never decide one: a credential that can approve its own requests is not a control. decision must be 'approve' or 'deny'; only pending permits can be decided. An approved permit is consumed by the agent's next ledger_track within its amount — it is a one-shot exception, n

ledger_priceread-only

What will this call cost? Priced from the same table the caps use. Exists because ledger_track requires the CALLER to supply amount_cents, so an agent whose spend is capped could under-report its own cost and stay under the cap. This returns the number the enforcement path would use, so an agent can report honestly (and plan before it spends). Cost = (tokens_in * in_rate + tokens_out * out_rate)

ledger_start

Get a FREE AgentLedger workspace with no credential and no arguments — the MCP equivalent of opening POST /start in a browser. Call this FIRST if you have no credentials yet. Every other tool here (ledger_track, ledger_set_budget, ledger_report, ledger_alerts) needs a workspace_key or an agent_secret, so a caller arriving with neither must start here or it has nowhere to go. Takes NO arguments

ledger_api_docsread-only

Self-serve documentation for AgentLedger — quickstart, MCP tools, REST endpoints, budget caps, error codes, and idempotency usage, as markdown.

ledger_examplesread-only

Complete, runnable Python recipe for a common AgentLedger integration pattern.

skills_list_tool

List this product's skills. Each entry carries the SKILL.md URI, its name and description, verbatim frontmatter, and a per-file sha256 manifest. Read a body with `read_skill`.

read_skill

Read a product skill file by its skill:// URI.

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