Returns a 2D matrix of funding data grouped by two configurable dimensions.
Response format:
x_labels/y_labels: Ordered category labels for each axiscells: Sparse array of [x_index, y_index, value] tuplesx_totals/y_totals: Marginal totals per axis valuegrand_total: Sum of all cellsMetrics: count (rounds), company_count (distinct entities), total_amount, avg_amount, median_amount
Dimensions: round_year, round_quarter, sector, country, continent, standardized_round, investor_type, and more.
Auth0 JWT access token
X-axis dimension
round_year, round_quarter, round_type, standardized_round, stage, country, continent, city, region, sector, standardized_sector, technology, industry_tags, business_model, income_stream, client_focus, investor_type, investor_country, investor_continent "round_year"
Y-axis dimension
round_year, round_quarter, round_type, standardized_round, stage, country, continent, city, region, sector, standardized_sector, technology, industry_tags, business_model, income_stream, client_focus, investor_type, investor_country, investor_continent "sector"
Metric to compute per cell
count, company_count, total_amount, avg_amount, median_amount "count"
Max categories on X axis (1-50, default 15)
"15"
Max categories on Y axis (1-50, default 15)
"15"
Filter expression: and(key[op]:value,...). Same syntax as /api/aggregate/:source
"year[gte]:2020"