Restricted Access // Super Admin

Omniscope AI Admin Console

Enterprise 3-Stage Strategic Ingestion Pipeline & Benchmark Intelligence. Authorized Personnel Only.

Omniscope AI Pipeline Admin Console
Supabase Vector DB Connected
Consumer Dashboard
Stage 1: Raw News DB
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Deduplicated GDELT records in raw_gdelt_news
Stage 2: Filtered News DB
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NLP Classified items in stage2_filtered_news
Stage 3: Master News DB
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11-D Strategic vectors in news_articles
Benchmark Companies
500
Peer companies in benchmark_companies

Stage 1: Date Selection & News Ingestion

Select dates to stream, decompress in-memory, and ingest raw news events directly into the PostgreSQL database (raw_gdelt_news) with deduplication.

Deduplication Guaranteed: Duplicate events with existing IDs or URLs are automatically ignored via PostgreSQL ON CONFLICT (id) DO NOTHING.

Imported Stage 1 GDELT Archives / Files

0 file(s) selected
Export File Name Date Size Total Ingested Remaining in Stage 1 Status Actions
Loading Stage 1 imported files...

Raw News Database Records (raw_gdelt_news)

0 record(s) selected
Published Date Actor 1 Actor 2 Country Source URL Status Action
Loading Stage 1 raw records...
Showing recent items

Stage 2: Basic NLP Filtering & Classification

Filters raw items from Stage 1 using NLP keyword analysis to determine PESTLE/Porter alignment, discards clickbait/noise, deduplicates headlines, and moves relevant records to stage2_filtered_news.

Purge & Deduplication Rule: Processed rows are permanently deleted from Stage 1 (raw_gdelt_news) upon moving. Unwanted noise is filtered out and deduplicated across the pipeline.

Stage 1 Files Available for Conversion (Click to Filter & Move to Stage 2)

Select any imported archive from Stage 1 below. Click "Convert / Filter File" to run NLP categorization, assign strategic dimensions, move items into Stage 2, and purge them from Stage 1.

0 file(s) selected
Stage 1 File / Archive Date Remaining Items Conversion Batch Size Actions
Loading Stage 1 files for conversion...
Bulk / All-Dates Conversion:

Filtered News Records (stage2_filtered_news)

0 record(s) selected
Date Extracted Headline PESTLE/Porter Classification Location Source URL Status Action
Loading Stage 2 filtered records...
Showing recent items

Stage 3: Embedding Creation & 11-D Projection

Takes items from stage2_filtered_news, generates 768-D embeddings, converts them using the linear projection model matrix to 11 strategic dimensions, and ingests them into the Master News Database (news_articles).

Purge & Deduplication Rule: Successfully ingested articles are permanently deleted from Stage 2 (stage2_filtered_news). The master table enforces deduplication on existing headlines.

Stage 2 Filtered Batches Available for Ingestion (Click to Project & Move to Master DB)

Select any filtered batch from Stage 2 below. Click "Convert & Project 11-D" to generate embeddings, project to 11 dimensions using the trained matrix, ingest into news_articles, and purge from Stage 2.

0 batch(es) selected
Stage 2 Batch / File Date Filtered Items Waiting Categories in Batch Projection Batch Size Actions
Loading Stage 2 filtered batches...
Bulk / All-Dates 11-D Projection:

Live Master News Database (news_articles)

0 article(s) selected
Date Headline Primary Driver Impact Score 11-D Strategic Vector Preview Source Action
Loading Master News records...
Showing recent items

Full Pipeline Orchestrator & Auto-Purge Manager

Execute end-to-end multi-stage pipeline runs. The orchestrator transitions data seamlessly from Stage 1 to Stage 2 and into Stage 3, enforcing automatic purging and deduplication at every step.

Stage 1: Ingest Raw GDELT News
Streams archives and stores records in raw_gdelt_news with ID/URL deduplication.
Stage 2: Basic NLP Filter & Discard Noise
Extracts business headlines, categorizes across 11 dimensions, moves to Stage 2, and deletes processed rows from Stage 1.
Stage 3: 768-D Embeddings to 11-D Model Projection
Generates embeddings, applies linear matrix model to 11 dimensions, ingests into master DB, and deletes promoted rows from Stage 2.