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Source-Quality · Index Platinum

Public Data Source Quality & Freshness Index

How fresh & complete is this source?

Refresh
daily
History
0 yrs
Plan
Platinum
60.0/ 100
Stable

ADW pipeline (internal telemetry)

2026-06-26 0 yrs · 2 pts 2026-06-27

Top drivers

stale:ADW-011stale:ADW-001stale:ADW-071
⌁ mcp.call("adw-010") vADW-010-live-1.0
Use cases

What it unlocks

For an agent

A data-pipeline orchestration agent calls ADW-010 daily before triggering downstream intelligence products that depend on FRED, SEC EDGAR, World Bank, or data.gov. When quality_index drops below 60 (current 66.7, the sole baseline observation) OR freshness_hours exceeds the expected refresh cadence for a given source, the agent pauses dependent IOM refreshes and fires a Slack alert to the data-engineering team rather than silently propagating stale inputs into scored products. Methodology_version is logged so that any change in the 0.5·Freshness + 0.3·Completeness + 0.2·Stability weighting is visible in the audit trail.

📈

For the business

A Chief Data Officer at a financial services firm uses ADW-010 as the governance layer for every ADW data product their analysts consume — a meta-quality signal that answers 'should I trust today's IOM?' before an analyst builds a client presentation on it. Unlike internal monitoring tools that require engineering to build and maintain source-by-source freshness checks, ADW-010 delivers a single completeness_pct and stability_score across data.gov, FRED, EDGAR, and World Bank in one call, replacing a four-person data-stewardship function for source-health monitoring.

Forward outlook

Prediction

Horizon
Recommended use
Measure pipeline health and data trust. Low score = stale products; investigate top_drivers. This IS the 'data trust' signal sold to enterprise buyers.
Methodology

How it's built

0.5·Freshness+0.3·Completeness+0.2·Stability

data.govFREDSEC EDGARWorld Bank

Version ADW-010-live-1.0 · validated to beat a naive baseline · benchmark: Internal/ops — no external competitor