Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for teams that need to know which actor, tenant, session, or tool caused a data read when AI agents start touching real pipelines and warehouses.
Who should use it
Who should skip it
Move on from data-context-hq/datacontext if the licensing terms, language support, or platform requirements do not fit your project.
About this signal
data-context-hq/datacontext is tracked by RepoRadar as a package in the AI Infrastructure section. First seen 2026-06-28; the source record was last checked on 2026-06-28. The current verdict is 'try now' with a Silver tier and moderate setup difficulty. The standout signals for data-context-hq/datacontext are workflow potential (9.0) and open-source/build quality (8.4), while momentum (5.0) trails — that balance shapes where it fits best. This page summarizes the public evidence on the linked source page and states where additional review is still needed.
How this item is evaluated
The data-context-hq/datacontext record combines a 7.9/10 composite score with separate popularity (1.0), risk (conditional), and setup (moderate) signals. See the scoring methodology for the current weights and evidence definitions.
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
Instrumentation can capture query context, actor identifiers, and session metadata, so scrub sensitive tenant or customer details before exporting events beyond a trusted environment; The package is still early and spans many optional integrations, so validate overhead and event shape in staging before relying on it for production audit flows.