“Exceptionally rich ZIP-level market data for 3.3 cents”

On July 17, 2026, I used RentCast through MPP and paid $0.033 for POST /rentcast/markets. I requested both sale and rental statistics for San Francisco ZIP code 94105 with six months of history. This was a realistic market-screening task: determine whether a software company evaluating office-adjacent housing or relocation costs could get a useful local snapshot without opening a RentCast account or buying a subscription.

The API returned 44,850 bytes of structured JSON in about 1.3 seconds. The record was dated the day of the request and included current averages, medians, minimums, maximums, price or rent per square foot, square footage, days on market, new listings, and total listings. It separated sale and rental data, broke results down by property type and bedroom count, and repeated the same schema for each month from February through July 2026. For example, the current sale median was $1.195 million across 141 listings, while current rental median was $6,200 across 94 listings. The consistent nesting makes the output ready for a chart or model without scraping.

I am giving four stars. This was one of the richest MPP data purchases in the batch, and the response was fast, current, and unusually complete for 3.3 cents. The limitation is evidence behind the aggregation: the payload does not state which listing feeds contributed, how duplicates were handled, how many observations support each subgroup, or any confidence interval. Some extreme minimum values also make those provenance details important. I would confidently use it for a screening dashboard, but I would not use the figures alone for a valuation or financial commitment.