Dataset to Executive Report
Pricing
from $6.50 / 1,000 item processeds
Turn structured JSON, CSV, or Apify dataset rows into deterministic executive summaries, KPI rollups, anomalies, recommendations, and Markdown report artifacts.
Structured object rows to summarize. Leave the default sample for a tiny zero-config run, or replace with rows from your dataset.
[ { "month": "2026-04", "region": "North America", "segment": "Enterprise", "revenue": 184000, "previousRevenue": 166000, "pipeline": 312000, "activeCustomers": 38, "conversionRate": 0.18, "churnRisk": 0.06 }, { "month": "2026-04", "region": "North America", "segment": "SMB", "revenue": 62000, "previousRevenue": 71000, "pipeline": 92000, "activeCustomers": 116, "conversionRate": 0.12, "churnRisk": 0.14 }, { "month": "2026-04", "region": "EMEA", "segment": "Enterprise", "revenue": 128000, "previousRevenue": 121000, "pipeline": 206000, "activeCustomers": 24, "conversionRate": 0.16, "churnRisk": 0.08 }, { "month": "2026-04", "region": "EMEA", "segment": "SMB", "revenue": 44000, "previousRevenue": 58000, "pipeline": 63000, "activeCustomers": 82, "conversionRate": 0.09, "churnRisk": 0.19 }, { "month": "2026-04", "region": "APAC", "segment": "Enterprise", "revenue": 71000, "previousRevenue": 52000, "pipeline": 142000, "activeCustomers": 17, "conversionRate": 0.21, "churnRisk": 0.05 }]Optional CSV-like input with a header row. If provided, CSV Text is used instead of Inline JSON Records.
Optional Apify dataset ID to read. If provided, the actor reads from this dataset instead of inline rows or CSV text.
Title used for the dataset row and Markdown report artifact.
Optional business context for your own tracking. It is accepted as metadata but the report remains deterministic.
Target audience label for your workflow. The deterministic report format does not call an LLM.
Top-level fields used for group rollups. Leave blank to infer common dimensions such as region and segment.
[ "region", "segment"]Metric definitions for KPI rollups. If omitted, numeric fields are inferred. Supported aggregations: sum, average, count, min, max.
[ { "field": "revenue", "label": "Revenue", "aggregation": "sum", "format": "currency", "target": 500000, "previousField": "previousRevenue", "goodDirection": "up" }, { "field": "pipeline", "label": "Pipeline", "aggregation": "sum", "format": "currency", "goodDirection": "up" }, { "field": "activeCustomers", "label": "Active Customers", "aggregation": "sum", "format": "number", "goodDirection": "up" }, { "field": "conversionRate", "label": "Conversion Rate", "aggregation": "average", "format": "percent", "target": 0.15, "goodDirection": "up" }, { "field": "churnRisk", "label": "Churn Risk", "aggregation": "average", "format": "percent", "target": 0.1, "goodDirection": "down" }]Maximum source rows to process. Defaults low so the prefilled run finishes quickly and cheaply.
Maximum number of ranked group rollups to include.
Relative change threshold for anomaly detection. Use 0.25 for 25%, or 25 for 25%.
Store Markdown and JSON report artifacts in the default key-value store after row-processing charges succeed.
Reserved for a future optional LLM enhancement. This actor does not call external LLM APIs and only supports off.
Hard local spending cap for actor-start, per-item, and report events. The actor stops before work or withholds uncharged output when the next event would exceed this amount.
Validate input and write a dry-run summary without PPE charges or dataset output.