Product

Five agents. One job each. All of them ship work.

Every DataCraves agent is a specialist that runs continuously against your data. Below, what each one actually does — with a sample chart and a sample insight.

Agent 1

Insights Agent

Auto-finds anomalies and opportunities in your data

Continuously scans your warehouse for statistically significant changes, ranks them by business impact, and delivers a daily brief — so your team stops staring at dashboards and starts acting on the signal.

Sample written insight

Conversion rate on the /pricing page dropped 18% week-over-week, concentrated in mobile Safari users from the IN region. Likely cause: the new Razorpay widget added 1.2s to LCP.

Sample chart output

Agent 2

Forecast Agent

Predicts your key metrics 7, 30, and 90 days out

Builds a Prophet + gradient-boosted hybrid for every metric you care about — revenue, churn, demand, headcount needs — and back-tests every forecast against historical actuals so you know its accuracy band.

Sample written insight

30-day MRR forecast: $487K ± $22K (94% confidence). Tracking 6.2% above plan, driven by Pro-tier expansion in the SMB segment.

Sample chart output

Agent 3

Cohort Agent

Segments users into actionable behavioral cohorts

Finds the cohorts that matter — power users, at-risk accounts, dormant ICPs — using unsupervised clustering on event streams. Outputs ready to pipe into your CRM, email tool, or product.

Sample written insight

Identified 1,247 accounts in a new 'expansion-ready' cohort: high feature adoption, 3+ active seats, no support tickets. Average ACV uplift on similar cohorts last quarter: 2.3x.

Sample chart output

Agent 4

Reporter Agent

Writes weekly summaries to Slack, email, or Notion

Reads every dashboard your team has built, distills the week's movements into an executive summary written in plain English, and drops it into your channel of choice every Monday at 9am.

Sample written insight

This week: revenue +4.1%, NRR steady at 118%, support backlog cleared. Watch item: trial-to-paid conversion slipped to 7.8% (vs 9.2% trailing 8w).

Sample chart output

Agent 5

Pipeline Agent

Monitors data quality and auto-reruns failed jobs

Watches every pipeline for schema drift, freshness SLAs, row-count anomalies, and null-rate spikes. Auto-retries transient failures, opens incidents for real ones, and tells you which downstream dashboards are now stale.

Sample written insight

events.checkout_completed missed its 06:00 SLA by 47 min. Root cause: upstream Stripe webhook lag. 3 dashboards stale, auto-rerun succeeded.

Sample chart output

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