PLATFORM-WIDE METRICS
AT A GLANCE.
Sigma is the analytics layer for the entire MelTuc ecosystem. It aggregates 19 live KPIs from across every active blueprint — DRA research output, BRI idea velocity, AI cost burn, Kronos job success rates, SRM ticket volume, Herald alert count, GHT repo tracking, and more — into a single dashboard that auto-refreshes every 5 minutes. Set threshold alert rules on any metric and Sigma notifies you via Telegram and Herald the moment a number crosses your line.
The centrepiece is a 14-day stacked bar chart showing DRA, BRI, and RRV pipeline throughput per day — giving you an instant visual read on whether content generation is accelerating, stalling, or idle. Supporting stat panels break out AI cost tracking, platform health indicators, and content pipeline depth all in one place.
From Blueprint Tables to Dashboard in 5 Steps
Sigma queries a dozen existing blueprint tables every 5 minutes and surfaces 19 live KPIs — with zero data duplication. Its only table of its own holds your alert rules.
/sigma/api/platform-metrics.Every Platform Number in One Grid
The top section of the Sigma dashboard is a 4-column KPI grid of headline metrics.
Each tile shows a label and a live number — refreshed on page load and every 5 minutes
automatically. Teal values are content/throughput metrics. Amber values are AI cost numbers.
Red values are error/failure counts. All values come from a single
GET /sigma/api/platform-metrics
call that runs 19 separate SQL queries, each individually wrapped in try/except.
Content Generation at a Glance
Below the KPI grid, a Chart.js bar chart shows per-day DRA, BRI, and RRV output over the
trailing 14 days. A generate_series
query fills in zero values for days with no output — so a flat day is visible rather
than absent. Teal bars are DRA research reports, amber bars are BRI ideas, blue bars are RRV
blog posts. The chart redraws cleanly on every refresh without page reload.
Content, AI, and Health — At a Glance
Below the chart, three key-value panels drill deeper into three platform dimensions. The Content Pipeline panel shows 30-day DRA output, RRV drafts, and PRL prompt library size. The AI Infrastructure panel shows FMR model count alongside 7d and 30d Claude API cost. The Platform Health panel computes the Kronos job success rate and shows open SRM tickets and Herald unacked alerts.
Everything You Need to Monitor Platform Health
Sigma reads from a dozen existing blueprint tables and owns only one table of its own (alert rules). Every query is individually wrapped in try/except, so a missing table degrades gracefully.
tkn_turns.cost_usd over 7-day and 30-day windows — always current, never stale.kronos_runs in the last 7 days. Job success rate computed automatically.consumed_at IS NULL — your newsletter backlog depth at a glance.metric_key + operator (>, >=, <, <=, ==) + threshold. Kronos evaluates them on a schedule and fires Telegram + Herald alerts when breached.?format=csv, or query the same data programmatically — metric and alert-rule endpoints accept a SWIP session or an MCP key.Know Your Platform Numbers. Always.
19 live KPIs. 14-day throughput chart. AI cost burn. Threshold alerts. All in one dashboard.
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