Skip to main content

Signals Engine

Python collect CLI for signal-oriented collection lanes.

Install

pip install signals-engine
signals-engine --help
python3.11 -m signals_engine.cli --help

Usage

signals-engine collect --lane x-feed --date 2026-04-06
signals-engine diagnose --lane x-feed
signals-engine collect --lane reddit-watch --date 2026-04-11 --config ~/.signal-engine/config/lanes.yaml

X auth setup

x-feed and x-following now prefer browser-session auth. Start a dedicated Chrome profile with CDP enabled, log into X once in that profile, then point the lane config at the running browser session.

/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome \
  --remote-debugging-port=9222 \
  --user-data-dir=$HOME/.signal-engine/chrome-profile
lanes:
  x-feed:
    source:
      auth:
        mode: browser-session
        cdp_url: http://127.0.0.1:9222
        target_url: https://x.com
      limit: 100
      timeout_seconds: 30

  x-following:
    source:
      auth:
        mode: browser-session
        cdp_url: http://127.0.0.1:9222
      limit: 200
      timeout_seconds: 30

Legacy cookie-file auth is still supported when explicitly selected:

lanes:
  x-feed:
    source:
      auth:
        mode: cookie-file
        cookie_file: ~/.signal-engine/x-cookies.json

In browser-session mode, Signal Engine does not export or manage X session cookies. It connects to the live Chrome session over CDP, extracts ct0 from the page context, and performs GraphQL requests inside the browser with credentials: 'include'.

Supported lanes

  • x-feed
  • x-following
  • github-watch
  • claude-code-watch
  • openclaw-watch
  • codex-watch
  • reddit-watch
  • github-trending-weekly
  • product-hunt-watch
  • polymarket-watch

Example reddit-watch config

reddit-watch is scoped to AI coding / agent workflow discussions. It is not intended to pull generic Reddit news or broad tech chatter.

lanes:
  reddit-watch:
    enabled: true
    queries:
      - Claude Code workflows
      - Codex agent
      - OpenClaw
      - AI coding agents
    lookback_days: 30
    max_threads: 5
    max_per_query: 3
    subreddits:
      - ClaudeAI
      - LocalLLaMA
      - PromptEngineering
      - artificial

Example polymarket-watch config

polymarket-watch is a Polymarket-backed prediction-market lane scoped to market expectation / probability signals around AI model race, coding AI, benchmarks, and company expectations. It is not a workflow-detail or full-text research lane.

lanes:
  polymarket-watch:
    source:
      max_pages: 2
      timeout: 15
    max_per_query: 3
    queries:
      - topic: model-race
        query: best AI model
      - topic: coding-ai
        query: coding AI
      - topic: benchmark
        query: AI benchmark
      - topic: company-expectation
        query: OpenAI Anthropic Google

v1 scope

  • collect-only runtime
  • signal markdown / index / state outputs
  • thin run.json manifest
  • first migration target: x-feed

Release files for signals-engine 0.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for signals-engine 0.3.0
File Size Uploaded
signals_engine-0.3.0.tar.gz 77.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for signals-engine 0.3.0
File Interpreter ABI Platform
signals_engine-0.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 159.3 kB

Release files / signals_engine-0.3.0.tar.gz

Download URL signals_engine-0.3.0.tar.gz
Size 77.7 kB
Tags Source
SHA-256 checksum
How to use checksums
5996345748eaaaf1d021f4830b192915c506bfd32b0e3bb17cb4499a14e90868
BLAKE2b-256 checksum
How to use checksums
4d71b8cff5c1b930c282030e0cb3ed443a35ea428634c90721922eb085b32b66
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.15

Release files / signals_engine-0.3.0-py3-none-any.whl

Download URL signals_engine-0.3.0-py3-none-any.whl
Size 81.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
4b50697d7fec99fc3d794803b5f66886b20e00f1e16330ecff85d8cb4aad6c0f
BLAKE2b-256 checksum
How to use checksums
f209b750d9d257cc3ac1bcaa3d495e6ce94498faaaa1b24d004caf69dc9f0240
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.15

Release history Release notifications | RSS feed

This release

0.3.0 This release

2 release files

0.2.0

2 release files

0.1.0

2 release 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