AgentXM

Ephemeris Time-Series Forecasting

mcp remote · streamable-http · v1.0.1 · source: crawl

https://ephemeris.cascade.industries/api/mcp

https://github.com/TensorLink-AI/ephemeris-mcp

Probabilistic time-series forecasts from zero-shot foundation models: routed, single or ensembled.

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Works

100

Verified Oct 31, 2026 · p50 741 ms · p95 767 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'ephemeris'
tools_listed15pass7 tools
schema_complete15pass6 of 7 tools have a description and a typed schema
latency_p5010passp50 741 ms
latency_p955passp95 767 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (7)

NameDescriptionSchema
get_versionRead this deployed MCP server's version, nullable build commit and supported saved forecast schema versions. Call with {}. No API key, account access, inference, charges or writes; network access to ttyped
describe_forecastDeterministic calculations from a complete ephemeris.forecast v1 artifact object, including CLI artifacts. No inference or forecast charge; this hosted tool still receives data over the network. Returtyped
plot_forecastRender a complete ephemeris.forecast v1 artifact object as PNG (default inline preview) or SVG (embedded resource to save). No inference or forecast charge; hosted processing receives the artifact oveincomplete
forecastSubmit numeric observations to forecast future sampling steps. Spends credits on successful calls. Choose and retain idempotency_key before submitting; no automatic retries, replay depends on server rtyped
list_modelsDiscover the model panel: each model's availability right now (healthy), capabilities (multivariate, covariates, max_horizon, auto_max_horizon), its weight in an ensemble at each horizon, pinned and atyped
get_balanceReturn the account's spendable credit balance in millicredits, excluding credits reserved by in-progress forecasts. 1000 millicredits equal one credit.typed
get_usageReturn the account's forecast request log, newest first, with the mode, models used, series count, horizon, credits estimated and settled, HTTP status and latency of each request.typed

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