signal-platform
Building blocks for derived-signal MCP services: services that periodically ingest public data, compute derived intelligence, and expose it to AI agents over MCP, with optional push notifications.
Used by trading-vol-regime. Architecture: docs/00-platform-architecture.md.
What's in it
| Module | Purpose |
|---|---|
signal_platform.store |
SnapshotStore protocol + SQLite implementation. Calc workers are the only writers; MCP servers only read. Upserts on (service, kind, as_of) so re-runs are idempotent. |
signal_platform.payload |
Response envelope: every payload carries as_of, a data_freshness label, attribution, and disclaimer. |
signal_platform.push |
Subscriptions and delivery to ntfy topics or webhooks, with per-event cooldowns, auto-deactivation after repeated failures, and SSRF guards (public https targets only, redirects never followed). |
Example
from datetime import UTC, datetime
import httpx
from signal_platform import SqliteSnapshotStore, envelope
from signal_platform.push import Notification, send
store = SqliteSnapshotStore("signals.db")
store.put("my-service", "snapshot", datetime.now(UTC), {"level": 42})
latest = store.get_latest("my-service", "snapshot")
payload = envelope(
latest.payload,
as_of=latest.as_of,
attribution="Data from Example Source",
disclaimer="Informational only.",
)
with httpx.Client() as client:
send(
client,
"ntfy",
"my-random-topic",
Notification(key="demo", title="Hi", message="Signal changed"),
)
License
MIT
Metadata
Release files for signal-platform 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| signal_platform-0.1.0.tar.gz | 9.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| signal_platform-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.6 kB
Release files / signal_platform-0.1.0.tar.gz
| Download URL | signal_platform-0.1.0.tar.gz |
|---|---|
| Size | 9.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
65b543af09ea66446bb46a5b4f49a578a2627a4964d915148bcae922e86ee072
|
|
BLAKE2b-256 checksum How to use checksums |
a13bb98d67b7e00c0df06aa84a01ad894e65625b879121f530dfd63dc0fc6eca
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.
Transparency logRelease files / signal_platform-0.1.0-py3-none-any.whl
| Download URL | signal_platform-0.1.0-py3-none-any.whl |
|---|---|
| Size | 9.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
55d14f5802c77c04acb88470aa7c468bb02c2fed3af0990a86964a730f167619
|
|
BLAKE2b-256 checksum How to use checksums |
91ebf5a7bea6700037adfb1245efacd1350039da7d44bbf38bfbe33f2f45b36e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.
Transparency log