CLUSTER ANALYTICS-COPILOT-QUERIES · 3 ENTRIES · EARLIEST ENTRY 2026-01-08
NL-to-SQL analytics copilots
A cluster of analytics copilots that translate natural-language questions into SQL queries, with variations on guardrails, sandboxing, and domain-specific narratives. The dated history before the index start consists of only a single entry, so the cluster's timeline shape is too thin to read – it predates the index or its members are undated. The traction leader is ai-data-copilot, which has 1 star, while the other two have 0 stars.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 1 hand-coded · 2 unlabelled
Operator · 2 hobby · 1 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 3 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01ai-data-copilot1★1 molivehobbyAnalytics copilot that answers plain-English questions about loan data and customer complaints by generating SQL queries and retrieving relevant narratives.
- 02NL-To-SQL0★1 mo—hand-codedhobbyA transparent, self-correcting NL-to-SQL analytics copilot that translates business questions into PostgreSQL queries with guardrails and evaluation harness.
- 03AskDB0★4 moliveAnalytics copilot that converts natural language questions into SQL queries and returns explained results with a safe rollback sandbox.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.