news-sentiment

Extract structured, source-attributed sentiment context for one symbol.

Scripted execution

• Runner: skills/news-sentiment/scripts/news_run.py
• Shared lifecycle client: skills/market-context/scripts/marketcontextrun_api.py
• Shared validator: skills/market-context/scripts/validatemarketcontext_payload.py

Use news_run.py to:

1. open run lifecycle (start + progress),
2. validate payload contract,
3. optionally submit parsed evidence rows,
4. finalize to Jangar so DB persistence happens server-side.

Output contract

Return JSON keys:

• context_version
• asofutc
• symbol
• freshness_seconds
• source_count
• quality_score
• payload.items (headline, sentiment, source)
• citations

Rules

• Prefer recency over volume.
• Mark missing sources explicitly.