All Services

Normalises string fields and computes a two-measure correlation between attendee_count and company_count across up to 200 business event participation rows, returning two analytical reports.

Computes trailing mean time series and adjacent row change statistics for business event participation data (attendee_count, company_count) across up to 200 rows.

Computes a trailing mean time series and a date-by-category pivot table for supplied business event participation data (attendee_count, company_count) in a single call.

Computes a trailing mean time series and an equal-width histogram for attendee_count or company_count fields in supplied business event participation records.

Computes a trailing moving mean series and fills missing values for business event participation data (attendee_count, company_count) over up to 200 rows.

Computes trailing mean time series and keyed dataset comparison reports for business event participation data (attendee_count, company_count) across up to 200 rows.

Computes a trailing mean time series and a secondary-measure weighted mean for business event participation data (attendee_count, company_count) across up to 200 rows.

Computes a trailing mean time series and a two-measure Pearson/rank correlation for up to 200 business event participation records containing attendee_count and company_count fields.

Computes a two-measure Pearson/rank correlation between attendee_count and company_count, and performs a keyed dataset comparison across two supplied business event participation datasets (up to 200 rows each), returning two independent analytical reports.

Computes Pearson correlation between attendee_count and company_count, plus a weighted mean for a secondary measure, across up to 200 business event participation rows.

Returns a structured decision rule for whether a business should reinvest profits or distribute them to owners, including required inputs, recommended action, and a verification check.

Returns a synthesized framework explaining how business value behaves for companies in the $25–50M annual revenue range, with citations and child node handles.

Sorts a market node's buyers into four credit-quality tiers (cash-funded investment grade through speculative/merchant) and records the marginal demand tier mix for use in pricing power and credit shock analysis.

Returns a structured market-branch analysis for businesses with under $1M in revenue, identifying which supply-chain node is binding and the warning-time lag before tightness reaches the buyer.

Returns a structured synthesis (~300 tokens) of how growth dynamics behave specifically at the $25–50M annual revenue scale, with citations and child node handles.

Returns the decision rule that classifies a supply chain node's market position as binding, transient, pass-through, or open, based on capacity, lead time, supplier activity, documented relief, and pricing method.

Returns a ~400-token conceptual explanation of why profit differs from cash and where cash goes, serving as the foundational logic layer before applying cash-flow scale-band rules.

Returns a synthesized framework explaining how cash flow behaves for businesses at the $1–5M annual revenue scale, including the cash cycle dynamics at this stage.

Returns ~250 tokens of synthesized business-framework guidance on how cash flow behaves and should be allocated at the $5–25M revenue scale, with public citations and child node handles.

Returns a synthesized framework explaining how cash flow behaves for businesses under $1M in revenue, with an emphasis on owner-first pay discipline.

Returns a synthesized pricing decision framework (~220 tokens) with the governing rule, required inputs, recommended action, and a check — tailored for businesses from launch to ~$50M revenue.

Returns a synthesized explanation of self-financeable growth — the operating logic defining how much growth a business can fund internally without external capital.

Returns a synthesized market-branch analysis framework for businesses in the $5M–$25M revenue band, including the four key quantities that set margin expectations for a node in this size range.

Returns a synthesis of the 'shared-name' chain pattern, explaining how one product name can cover two disjoint manufacturing chains differentiated by equipment sets and buyer sets rather than vocabulary.

Returns the canonical decision rule for whether a candidate business node should be split into two nodes or kept as one, based on whether pieces sell into different markets to different buyers.

Tests a business node against four named market-level shocks (demand collapse, supplier overbuild, leveraged-tier credit, policy) with stated magnitude and dispersion, returning a synthesized stress assessment.

Returns a synthesized framework explaining how risk behaves for businesses with sub-$5M revenue, including survival probability dynamics and relevant citations.

Returns a foundational explanation of why the discount rate (r) is a price and how it is set, serving as the conceptual prerequisite for risk-band and decision-rule endpoints in the business-frameworks hierarchy.

Returns a synthesized framework explaining how business value behaves at the $5–25M revenue scale, including key dynamics, benchmarks, and child concept handles.

Returns a ~300-token original synthesis explaining how business value behaves at the sub-$1M revenue scale, where the owner effectively is the business, with citations and child framework handles.

Computes adjacent row-over-row changes and Base-100 index series for business location inventory data (location_count, verified_locations) on up to 200 supplied rows.

Computes adjacent row changes and a date-by-category pivot table for business location inventory data (location_count, verified_locations) across up to 200 rows.

Computes adjacent row-over-row changes and an equal-width histogram for up to 200 business location inventory records across location_count or verified_locations fields.

Analyzes supplied business location inventory records to compute adjacent row changes and flag IQR-based outliers for location_count or verified_locations fields, returning two analytical reports.

Analyzes business location inventory data (location_count, verified_locations) by computing adjacent row changes and comparing two keyed datasets, producing two independent analytical reports for up to 200 rows.

Computes adjacent row changes and a secondary-measure weighted mean for up to 200 supplied business location inventory records (location_count, verified_locations) as two bundled analytical reports.

Computes adjacent row-over-row changes and Pearson/rank correlation between location_count and verified_locations for up to 200 supplied business location inventory records, returning two independent analytical reports.

Runs two analytical reports on supplied business location inventory data: a Base-100 index series and a date-by-category pivot, for up to 200 rows.

Computes a Base-100 index series and an equal-width histogram for supplied business location inventory data (location_count, verified_locations) across up to 200 rows.

Computes Base-100 indexed time series and IQR-based outlier flags for business location inventory metrics (location_count, verified_locations) across up to 200 supplied rows.

Computes a Base-100 index series and a two-measure Pearson correlation between location_count and verified_locations for supplied business location inventory rows (up to 200 rows).

Analyzes supplied business location inventory records to produce two reports: category frequency counts and adjacent row-to-row change deltas for location_count or verified_locations fields.

Analyzes up to 200 rows of business location inventory data to produce two reports: category frequency distributions and a base-100 indexed series for location_count or verified_locations.

Computes category frequency distributions and daily sum time series for supplied business location inventory records (location_count and verified_locations fields).

Analyzes supplied business location inventory records to produce two analytical reports: category frequency counts and a date-by-category pivot, covering up to 200 rows.

Computes category frequencies and fills missing values in business location inventory records (location_count, verified_locations) for up to 200 rows, returning two analytical reports per call.

Computes category frequency distributions and IQR-based outlier flags for up to 200 rows of business location inventory data (location_count, verified_locations).

Analyzes up to 200 rows of business location inventory data to produce category frequency distributions and a keyed row-by-row dataset comparison between two supplied datasets.

Analyzes supplied business location inventory records to produce category frequency counts and filter rows by a numeric interval for two selected fields (location_count or verified_locations).

Computes category frequency distributions and a secondary-measure weighted mean for up to 200 business location inventory records, returning two analytical reports in one call.

Computes category frequency distributions and trailing moving-average series for business location inventory data (location_count, verified_locations) supplied by the caller.

Computes category frequency distributions and Pearson/two-measure correlation between location_count and verified_locations for supplied business location inventory rows (up to 200 rows, 2 reports per call).

Runs two local analytical reports on supplied business location inventory data: a daily sum time series and a date-by-category pivot table, across location_count or verified_locations metrics.

Computes a daily sum time series and an equal-width histogram for business location inventory fields (location_count or verified_locations) from up to 200 supplied rows.

Computes daily sum series for business location inventory metrics and fills missing values using a chosen method (zero, mean, or median) across up to 200 rows.

Computes a daily sum time series and performs a keyed dataset comparison for business location inventory records (location_count, verified_locations) across up to 200 rows.

Computes a daily sum time series and a secondary-measure weighted mean for uploaded business location inventory records (location_count, verified_locations) — up to 200 rows, two reports per call.

Pivots business location inventory records by date and company category, then fills missing values using zero, mean, or median imputation — returning two analytical reports for up to 200 rows.

Runs two local analytical reports on supplied business location inventory data: a date-by-category pivot table and a keyed dataset comparison, for up to 200 rows.

Analyzes supplied business location inventory records to produce a duplicate key report and a daily sum series for location_count or verified_locations fields, covering up to 200 rows.

Runs two local analytical reports on supplied business location inventory data: a duplicate key report and an equal-width histogram for location_count or verified_locations fields.

Analyzes up to 200 rows of business location inventory data to produce two reports: a duplicate key report and an explicit missing-value fill for location_count or verified_locations fields.

Analyzes up to 200 rows of business location inventory data to produce a duplicate key report and IQR-based outlier flags for location_count or verified_locations fields.

Generates two analytical reports — an equal-width histogram and a date-by-category pivot table — from supplied business location inventory records (location_count, verified_locations).

Generates equal-width histogram distributions and fills missing values (zero, mean, or median) for business location inventory fields (location_count, verified_locations) across up to 200 rows.

Computes equal-width histograms and IQR-based outlier flags for business location inventory fields (location_count and verified_locations) across up to 200 supplied rows.

Computes an equal-width histogram and a secondary-measure weighted mean for supplied business location inventory records (location_count, verified_locations) — up to 200 rows, two analytical reports per call.

Performs exact row deduplication and category frequency analysis on up to 200 supplied business location inventory records (location_count, verified_locations) and returns two independent analytical reports.

Deduplicates exact duplicate rows and generates a date-by-category pivot table from supplied business location inventory records (location_count, verified_locations).

Performs exact row deduplication and generates a duplicate key report for business location inventory records (location_count, verified_locations) across up to 200 rows.

Deduplicates exact duplicate rows and produces a grouped numeric summary (sum, mean, etc.) for location_count and verified_locations fields across up to 200 business location inventory records.

Deduplicates exact rows and flags IQR-based outliers in business location inventory data (location_count, verified_locations) for up to 200 rows, returning 2 analytical reports.

Deduplicates exact rows and filters by numeric interval for business location inventory records (location_count, verified_locations), returning 2 analytical reports for up to 200 supplied rows.

Runs two local analytical reports on supplied business location inventory data: a grouped numeric summary and adjacent row change detection for location_count or verified_locations fields.

Produces two analytical reports on supplied business location inventory data: a grouped numeric summary and a Base-100 indexed time series, for up to 200 rows.

Computes a grouped numeric summary and a daily sum time series for supplied business location inventory data (location_count, verified_locations) across up to 200 rows.

Analyzes up to 200 business location inventory records by computing a grouped numeric summary and an equal-width histogram for location_count or verified_locations fields.

Computes a grouped numeric summary and fills missing values for business location inventory data (location_count, verified_locations) across up to 200 rows, returning two analytical reports.

Computes grouped descriptive statistics and IQR-based outlier flags for business location inventory data (location_count, verified_locations) across up to 200 supplied rows.

Runs two analytical reports on business location inventory data: a grouped numeric summary and a keyed dataset comparison, across up to 200 rows.

Computes grouped numeric summary statistics and applies a numeric interval filter on business location inventory records (location_count, verified_locations) for up to 200 supplied rows.

Computes grouped numeric summary statistics and secondary-measure weighted mean for up to 200 business location inventory records, returning two analytical reports in a single call.

Computes a grouped numeric summary and a trailing moving-average series for user-supplied business location inventory records (location_count, verified_locations) across company groups and dates.

Runs two local analytical reports on business location inventory data: IQR-based outlier detection and a date-by-category pivot table, for up to 200 rows.

Runs IQR-based outlier detection and explicit missing-value imputation on up to 200 rows of business location inventory data (location_count, verified_locations), returning two analytical reports.

Runs two analytical reports on business location inventory data: IQR-based outlier detection and keyed dataset comparison, processing up to 200 rows per call.

Computes numeric distribution statistics and category frequency reports for business location inventory fields (location_count, verified_locations) across up to 200 supplied rows.

Computes numeric distribution statistics and daily sum time series for location_count and verified_locations fields in supplied business location inventory records (up to 200 rows, 2 reports per call).

Computes a numeric distribution report and an equal-width histogram for business location inventory fields (location_count, verified_locations) over up to 200 supplied rows.

Computes numeric distribution statistics and fills missing values (zero/mean/median) for business location inventory fields (location_count, verified_locations) across up to 200 supplied rows.

Computes a numeric distribution report and a grouped numeric summary for business location inventory fields (location_count, verified_locations) across up to 200 supplied rows.

Analyzes supplied business location inventory data (location_count, verified_locations) by producing a numeric distribution report and a numeric row ordering report for up to 200 rows.

Computes numeric distribution statistics and a verified_locations-weighted mean for up to 200 business location inventory records, returning two analytical reports in one call.

Computes numeric distribution statistics and a trailing mean time series for business location inventory fields (location_count, verified_locations) across up to 200 supplied rows.

Filters business location inventory records by a numeric interval and computes daily sum series for location_count or verified_locations fields across up to 200 rows.

Filters business location inventory rows by a numeric interval and generates an equal-width histogram for location_count or verified_locations fields across up to 200 supplied rows.

Filters business location inventory rows by a numeric range on location_count or verified_locations, and fills missing values using zero, mean, or median imputation — returning up to 2 analytical reports for up to 200 supplied rows.

Filters business location inventory records by a numeric interval and computes a trailing moving average series on location_count or verified_locations fields, returning two analytical reports for up to 200 rows.

Generates two analytical reports for supplied business location inventory data: numeric row ordering and a Base-100 index series, for up to 200 rows.

Generates two analytical reports on business location inventory data: numeric row ordering and a date-by-category pivot for location_count or verified_locations.