Narratio Trust Filter™

1 · Ingest & configuration

Sources

Any input that would normally feed Narratio: structured data, unstructured text, multimedia evidence or system logs.

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Local files

CSV · TXT · JSON · Markdown · PDFs · Images · Video · Audio · Log files. Everything is processed locally in your browser.

In this GitHub demo, URLs are treated as symbolic sources (no network fetch due to CORS).

No run yet. Upload files and/or add URLs, then click Run Trust Filter™.

Trust Filter™ overview

Quick pulse of your ingestion quality before sending anything to a verification model.

Data quality score

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Run the pipeline to score quality.

Structural completeness

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Estimated from CSV headers, rows and non-empty cells.

Duplicate signals

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Approximate percentage of repeated rows across CSV files.

Source diversity

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Mix of CSV, text, media & online sources.

When you run the pipeline, you’ll see targeted commentary here about robustness, gaps and readiness for verification.

2 · Traceability & non-binary verification view

Traceability snapshot

How Trust Filter™ has seen your material: what came in, how it was cleaned, normalized and deduplicated.

Waiting for sources…

• Total files: –
• URLs: –
• CSV datasets: –
• Text corpora: –
• Media evidence: –

Non-binary verification system view

Trust Filter™ doesn’t say “true/false”. It prepares material for a five-module verification system and estimates how strong each layer will be.

Weighted modules · Based on your current ingest

1. Semantic analysis

20%

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2. Verifiability classification

25%

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3. Editorial cross-check

30%

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4. Source trust evaluation

15%

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5. Report generation

10%

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Estimated Narratio TrustScore™ after verification

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Upload ESG data, URLs and media to see how your story would look through Narratio’s verification lens.

The five-module view reflects the philosophy you described: explain how each claim was evaluated and which evidence backs it, rather than only saying “true” or “false”.

This simulates the “Report generation” stage (10%) of Narratio’s non-binary system.