al.ephemer/ephemeral · v1.0.0 · agents-and-memory
Ephemeral is healthy: it completed an MCP handshake in 2833 ms and exposes 19 tools.
Run AI agent tasks in isolated sandboxes with a cost cap, saved workflows and scoped connections.
Endpoint: https://app.ephemer.al/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 19 |
| Latency | 2833 ms |
| Last checked (UTC) | 2026-10-26T06:00:16.311Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-26T06:00:16.311Z | Healthy | 2833 | |
| 2026-10-26T06:00:16.047Z | Healthy | 3031 |
create_run | Start an AI agent run in an isolated sandbox and return the run (status queued) at once. Give a prompt, or the name of a saved workflow. Poll with get_run or block with wait_for_run for the result. Every run has a cost cap (max_cost_micros) and a timeout, and is billed to the organization of the API |
get_run | Read a run: status, output, error, cost and billing_pending. COST: while billing_pending is true (or the run is still going), cost_micros is PROVISIONAL and usually higher than the final cost; the result then has cost_final:false and a cost_note. Quote a cost only when cost_final is true (the run is |
wait_for_run | Wait until a run finishes (succeeded, failed, cancelled, interrupted or timed_out) or the wait ends, then return the run. After the run finishes it keeps waiting, within the same time, until billing has settled (billing_pending false, normally a few seconds to about 20), so the cost is final. Waits |
list_runs | List the organization's runs, newest first, with a cursor for the next page. Each run has cost_final: when false, cost_micros is provisional (usually above the final cost) and billing is still settling. |
cancel_run | Cancel a run that has not finished. Work already done is billed. Cancelling a finished run changes nothing. |
list_workflows | List the organization's saved workflows (reusable run definitions). Each entry has the workflow's name and, when set, its description, input_schema (the shape of the input create_run expects) and output_schema (the shape of the JSON it returns), so you can call a workflow without reading its prompt. |
get_workflow | Read a saved workflow's definition: description, prompt, model, files, connections, limits and its input_schema and output_schema. Credentials are never included. |
list_models | Find models. Returns a compact list (id, name, context_length, input and output USD per million tokens, zero_data_retention where known), the total count and the default model. There are hundreds of models, so filter with query (case-insensitive part of the id or name, e.g. "claude", "gpt") and read |
list_connections | The organization's saved connections that a run may use, with type, allowed methods and tools. No URLs or secrets are returned. Reference one in create_run by name. |
save_workflow | Create a workflow, or replace the one with this name (saving the same definition again changes nothing more). A workflow is a reusable run definition: start it with create_run and its name, or on a timetable with create_schedule. Connections must already be saved in the organization; reference them |
delete_workflow | Permanently delete a saved workflow. Runs already started are not affected; schedules that use it stop being able to start runs until it is saved again. |
list_schedules | List the organization's schedules: each starts a saved workflow on a cron timetable. Includes the next start, the last run and the last error. |
get_schedule | Read a schedule: timetable, time zone, input, cost cap, whether it is enabled, its next start and the outcome of its last start. |
create_schedule | Start a saved workflow on a timetable. Needs an administrator key. Each start is a run billed to the organization, with the cost cap given here (or the default). Use preview_schedule first to check the timetable. A schedule pauses itself after repeated failed starts. An organization can have 50 sche |
update_schedule | Change a schedule; only the fields you give change. Needs an administrator key. Set enabled to false to pause it and to true to resume it (resuming clears the failures that paused it). A new timetable counts from now. |
delete_schedule | Permanently delete a schedule. Needs an administrator key. Runs it already started are not affected. To stop it for a while, pause it with update_schedule instead. |
preview_schedule | Check a cron expression and time zone and return the next five start times (UTC), without saving anything. |
run_schedule | Start the schedule's workflow now, outside its timetable, with the schedule's input and cost cap. Returns the queued run (follow it with wait_for_run); each call starts another run and is billed like any run. |
list_files | List the files saved in the organization: id, name, size, content type and creation time. Reference a file by id in a run's or workflow's files. Read-only; upload and delete files through the REST API. |