get_day_rate_benchmark

ai.analyticslegends/sap-analytics · Verify this server

The PUBLIC day-rate aggregate for SAP analytics freelance work: min/max daily rate by country, specialisation and seniority, each row carrying its own currency, source, source date and confidence. This is the free aggregate published at analyticslegends.ai/api/market-rates.json, and it is SMALL — 11 rows on 2026-08-09, every one of them a secondary source (a published market study or a job-board scan), sample_size null on 8 of them. NOTHING IS HELD BACK BEHIND IT: there is no paid counterpart to this aggregate. The community-contribution path exists (public.rate_contributions) but publishes nothing yet — v_community_rate_aggregates and v_rate_index are still empty, because a contributed rate only surfaces once a cell holds enough submissions to be reported without identifying anyone. So whatever percentile a source row happens to carry is served here, free, to everyone. The GB row carries a median, p10 and p90, and its own note says its min/max ARE the 25th and 75th percentiles. What is missing from this answer is missing from THIS aggregate; it is not a paid tier. THIS IS NOT THE ONLY RATE THE PLATFORM PUBLISHES, AND ON THE QUESTIONS THIS MARKET ASKS MOST IT IS THE THINNER ONE. `find_opportunities` returns a `rate_band` on most live radar postings — a panel-inferred P25–P75 band per (seniority × product × region) cell, Eursap n=312 plus the Analytics Legends operator panel, and it is what each posting's public page leads with. It prices exactly the cells this small aggregate cannot — Senior Datasphere DACH, Senior BDC DACH — where `specialisation:"bdc"` here returns nothing. When this tool comes back empty for a country × product, say the AGGREGATE holds no row and go read the radar band — do not report that the platform cannot price it. The two are different instruments: this one is a published market study, that one is an editorial benchmark attached to a live posting. Read `_meta.available_countries` / `available_specialisations` / `available_seniorities` — they are computed from the aggregate on every call — before concluding that a rate is unpublished, and quote each row with its own currency, its confidence and its source date.