Skip to main content

Seiche

PyPI Python MCP Registry AGPL-3.0-or-later

Seiche is an open-source money-, foreign-exchange, and capital-market evidence terminal, with its deepest live coverage in US-dollar funding. It joins public and official sources from the Federal Reserve, New York Fed, OFR, US Treasury, CFTC, and other authorities into a source-clocked research surface.

Every output keeps its as-of date, provenance, evidence status, known gaps, and point-in-time eligibility attached. Seiche is a research and evidence tool—not a real-time quote service, execution venue, or investment adviser.

Install and run

Seiche requires Python 3.12 or newer.

python3.12 -m venv .venv
.venv/bin/pip install seiche
.venv/bin/seiche pull
.venv/bin/seiche brief

Start the local REST API and terminal UI with:

.venv/bin/seiche serve

The first pull can be slower while the local cadence-aware cache is populated. Subsequent reads reuse that cache and continue to expose stale or unavailable inputs explicitly instead of silently dropping them.

Use Seiche from an AI agent

Seiche is a Model Context Protocol server. Run it locally over stdio:

SEICHE_MCP_PUBLIC=1 .venv/bin/seiche-mcp

Or connect an MCP-capable client directly to the public Streamable HTTP server:

https://api.seiche.info/mcp

The public trade_safety_risk_context tool returns only the last completed Seiche regime, index, coverage, source-status counts, and conservative clocks. It is metadata-only derived context, never an executable or real-money-eligible claim, and does not inspect the attestation ledger. Stream attestations are verified separately and never confer per-order execution authority.

Twelve evidence/context tools are anonymous: the current funding-stress read, cache-only Trade Safety context, historical analogs, public backtest, data health, crypto record, institutional flows, oil/funding, FX/materials, US money markets, world markets, and the latest article. Five higher-cost forecast, replay, positioning, prose, and LLM tools require an account and are omitted from anonymous tools/list responses.

Authenticated hosted MCP adds five private Agent Room preview tools for identity-to-key binding, room creation, signed append, verified listing, and full-chain verification. The same protected operations have REST twins under /api/agent-room/. They are discussion and evidence primitives only: every record is non-executable, x402 cannot unlock them, and local stdio has no bearer principal with which to expose them. See docs/AGENT-ROOM.md.

The canonical registry ownership marker is:

mcp-name: io.github.beepboop2025/seiche

See the MCP integration guide for Claude, Codex, Cursor, VS Code, and raw JSON-RPC examples.

Data and licensing boundary

The source code is licensed under AGPL-3.0-or-later. Upstream data keeps its own terms: Seiche's software license does not grant redistribution rights over data from third parties. Public outputs distinguish redistributable observations, bounded derived context, metadata-only sources, restricted inputs, and declared gaps. Review the source citation and rights fields before republishing data.

For research citation, use the repository's CITATION.cff; for defects or data questions, open a GitHub issue.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

seiche-0.12.3.tar.gz (1.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

seiche-0.12.3-py3-none-any.whl (1.3 MB view details)

Uploaded Python 3

File details

Details for the file seiche-0.12.3.tar.gz.

File metadata

  • Download URL: seiche-0.12.3.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for seiche-0.12.3.tar.gz
Algorithm Hash digest
SHA256 4b2ec737f173b5339b42aa1f85892b0c9683f7d3643524063cc8dcd797272974
MD5 92a0a9d697f952495fe643ee234ce58c
BLAKE2b-256 6f4b00be0b01924c13e38e3cb4edb9114a042abaabe6e23d2d40065776399f1b

See more details on using hashes here.

Provenance

The following attestation bundles were made for seiche-0.12.3.tar.gz:

Publisher: publish-pypi.yml on beepboop2025/seiche

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file seiche-0.12.3-py3-none-any.whl.

File metadata

  • Download URL: seiche-0.12.3-py3-none-any.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for seiche-0.12.3-py3-none-any.whl
Algorithm Hash digest
SHA256 385cebf7fb8ed79f543c900d883af77ca37ad91b8a4fd3bfad0220ebb0b3249f
MD5 d55b8e53c23a26e57996f1ed38e62f91
BLAKE2b-256 0f43df9408bec9ddf0642ffa00cf3d827c8500a4b748870c5a7cdfb4a75d0abf

See more details on using hashes here.

Provenance

The following attestation bundles were made for seiche-0.12.3-py3-none-any.whl:

Publisher: publish-pypi.yml on beepboop2025/seiche

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

0.13.0

2 files

0.12.6

2 files

0.12.5

2 files

0.12.4

2 files

This release

0.12.3 This release

2 files

0.12.2

2 files

0.12.1

2 files

0.12.0

2 files

0.11.1

2 files

0.11.0

2 files

0.10.1

2 files

0.10.0

2 files

0.9.1

2 files

0.7.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page