One canonical taxonomy. One read API. One webhook channel. Drop ClinicalRate into your ATS, VMS, ERP, or workforce planning surface in days, not quarters.
From contract signature to first live rate-lookup in production, measured across 22 integration partners. The taxonomy mapper is the longest single step.
Every workforce platform has the same blank field: bill rate / hour. The user types a number. Sometimes it's defensible. Most of the time it's a guess shaped by yesterday's contract and Tuesday's coffee.
You don't need to build the data layer underneath that field. You need to integrate one.
The connector rack shows every active integration — ATS, VMS, warehouse, notification — with last-sync timestamps. The same canonical numbers reach every surface your team opens.
Median sync latency 88ms · OAuth 2.0 across every endpoint · 14 connectors GA, 6 in private beta
Synchronous REST. User opens a placement → your backend hits /v1/rates/{role}/{geo} → renders p50/p75 inline. ~80ms median. Use this when users want freshness over caching.
●REST · JSON · OAuthNative Snowflake Secure Data Share or Databricks Delta Share. The full rate table lands in your warehouse at 03:00 UTC daily. Use this when you join against your own data.
●Snowflake · Delta · BigQuerySubscribe to rate-change events on the role-geographies that matter to your customers. JSON payloads delivered with idempotency keys and at-least-once semantics.
●HTTPS · Signed · Replayable# Fetch the live distribution for Travel RN — Med/Surg in California$ curl "https://api.clinicalrate.com/v1/rates/travel-rn-medsurg/CA" \-H "Authorization: Bearer $CR_TOKEN"# 88ms · 200 OK{"role": "Travel RN — Med/Surg","role_id": "CR-0142","geography": "CA","as_of": "2026-05-11T08:00:00Z","sample_size": 2418,"percentiles": { "p25": 82.40, "p50": 92.00, "p75": 101.20, "p90": 110.40 },"trend_30d_pct": 2.4}
Every response carries provenance: as_of, sample_size, source recency. Defensible by design.
“We had ClinicalRate live in our placement workflow inside a sprint. The hardest part was getting our own data team to believe the latency numbers.”
Book a 30-minute call with our integration team. We'll walk through your stack and scope the work.
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