Win bids without giving up margin.
Live bill-rate intelligence at the moment recruiters quote — so margin guardrails travel with every spread.
See agenciesAgencies, hospitals, MSPs, AI systems, and integration partners all run on the same canonical benchmarks — priced, sourced, governed, and audited against the same numbers.
Each segment uses the same canonical benchmarks, with the workflows, controls, and integrations tuned to how that team actually works.
Live bill-rate intelligence at the moment recruiters quote — so margin guardrails travel with every spread.
See agenciesBenchmark every requisition, supplier, and program — with the same canonical layer your finance team reports against.
See hospitalsWhite-label market intelligence embedded into your VMS — so suppliers, hiring managers, and program leaders price against the same source of truth.
See MSP / VMSA typed, canonical API and MCP endpoint for the labor data your agents reach for — specialty-aware, MSA-resolved, and confidence-scored.
See AI & LLMPlug benchmarks, guardrails, and signals into your ATS, VMS, HRIS, BI, and chat tools — without ripping out what works.
See integrationsSame canonical layer — different surface for each team. Use this to pick where you fit, or to map an internal stakeholder to the right walkthrough.
| Segment | Primary outcome | Deployment time | Primary integration | Primary user |
|---|---|---|---|---|
| Staffing agencies | Win bids without giving up margin | Days | ATS, CRM, browser | Recruiters & ops |
| Hospitals & health systems | Pre-approve labor against live market | 2–4 weeks | Workforce / ERP / VMS | CFO, workforce, nursing leadership |
| MSPs & VMS programs | Govern rates across suppliers (white-label) | 6–10 weeks | Embedded inside your VMS / portal | Program, product, exec teams |
| AI systems & LLMs | Tool-callable healthcare pay context for agents | Same week | REST + MCP server | ML / agent / platform engineering |
| Integrations | Push intelligence into existing systems | 1–2 weeks | Bullhorn, Beeline, Fieldglass, Workday | Ops leaders, IT, platform eng |
Recruiters, finance, AI teams — different surfaces, same numbers. Each playbook links to the segment it lives in.
Pulls live bill rate at the moment of pricing. Guardrails flag any spread that breaks margin floor before it leaves the desk.
Open →MSP program managerGovern rates across suppliersSame canonical benchmarks attached to every requisition. Supplier scorecards show position vs. market, not just vs. plan.
Open →Hospital workforce opsAudit contingent laborCompare every supplier, role, and facility against live market. Surface the 4–6 line items driving most of the variance.
Open →Finance / FP&AModel margin under market pressureRun +1% / +3% / +5% scenarios against the actual workforce mix. Walk into the budget meeting with the math behind you.
Open →AI / data teamPower agents with canonical labor dataSame benchmarks the operating teams use, exposed as a typed API and MCP server. Specialty-aware, MSA-resolved, confidence-scored.
Open →Platform / integration engineerWire intelligence into your stackATS, VMS, HRIS, BI, Slack, and webhooks for threshold breaches. One contract, every system on the same numbers.
Open →30-minute walkthrough on your roles, your MSAs, and your real workflow. We'll show you the exact view your team would live in.
No. We sit alongside them. Benchmarks, guardrails, and signals flow into the systems your team already runs in — through API, embed, or webhook.
Days, not quarters. Most segments are live in 2–4 weeks; integrations are typically same-week once API access is granted.
Aggregated, de-duplicated, normalized public market signals plus opted-in customer data. Confidence and sample size travel with every benchmark.
Yes. Same canonical layer is exposed as REST and MCP. Specialty-aware, MSA-resolved, and confidence-scored on every response.
Agencies, hospitals, MSPs, AI teams, integration leads — same canonical layer, different surface. Drop your context and we'll route to the right person.