Payers
The insurance organizations whose rules PayerGraph structures. Each payer is a stable entity with an ID, aliases and associated plans.
PayerGraph is an API for payer-policy intelligence. It converts fragmented payer policies, medical-necessity criteria and prior-authorization rules into structured, versioned, source-backed data that your product can query programmatically.
PayerGraph does not submit prior authorizations or track payer decisions—it is the intelligence layer your workflow integrates. You send a payer, plan, geography and medical codes; you receive normalized JSON with citations back to the source policy.
Check whether a CPT code requires prior authorization under a specific plan. All examples use sandbox data.
Authenticate every request with a bearer token in the Authorization header. Keys are issued per environment and can be rotated from your dashboard.
Authorization: Bearer pg_sandbox_xxxxxxxxxxxx
sandbox.payergraph.comSandbox example data for integration testing.api.payergraph.comLive policy data. Keys begin with pg_live_.POST /v1/codes/check with a payer, state and CPT code.coverage_status, prior_authorization and policy_sources in the response.policy_id into the policy and medical-necessity endpoints.The PayerGraph data model follows one chain: Payer → Plan → Policy → Code → Requirement → Source.
The insurance organizations whose rules PayerGraph structures. Each payer is a stable entity with an ID, aliases and associated plans.
A payer offers plans across commercial, Medicare Advantage and Medicaid managed care. Rules frequently differ between them.
Versioned medical policies, prior-auth lists and clinical guidelines parsed into structured rules with effective dates.
CPT, HCPCS and ICD-10 codes are the join keys between your workflow and payer rules.
The structured answer to “is this covered?”: covered, covered_with_conditions, not_covered or unknown—always with cited sources.
Per code and plan: required, not_required, conditional or unknown, with the list version that says so.
Clinical criteria parsed into a logic tree that preserves the original AND/OR structure alongside the source text.
Every rule points at a source document, effective date and retrieval timestamp. Superseded versions remain queryable.
Every determination carries a confidence level. Low-confidence and conflicting extractions are flagged, not hidden—treat unknown as unknown.