Properties
| Name | Type | Description |
|---|---|---|
| codes | array | 1-20 CPT/HCPCS codes from find_codes. Codes that hospitals are paid per APC also bring in the hospitals' APC case rates. |
| geography | object | |
| payers | array | Insurer names as people say them ("Premera", "Aetna", "Regence", "UnitedHealthcare", "Cigna", "Kaiser"), catalog payer ids, or ["major"] = the largest insurers in this market (major_payers of them). |
| major_payers | integer | How many insurers "major" means. |
| files_per_payer | integer | Most rate files read per insurer (in-area and most-used files first). More = more coverage, more first-time indexing (time, price). |
| index_new_files | boolean | false = read only files that are already indexed (fast, nearly free; coverage may be lower). true = also index the in-scope files that are not yet indexed. |
| providers | string | relevant = billing entities with evidence they provide the service (Medicare billing for the code, facility, hospital APC); all = also entities that merely hold a contracted rate. |
| include_providers | boolean | Add the least / most expensive billing entities (name, TIN, site address, miles) to each result group. |
| providers_per_group | integer | |
| max_price_usd | object | Highest estimated usage charge (USD) the job may start with (default $1.00); above it the job is not started (409 price_confirmation_required). |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://artifacts.apis.io/ticexplorer-com/json-schema/ticexplorer-com-analytics-request-schema.json",
"title": "AnalyticsRequest",
"x-generated": "2026-10-31",
"x-method": "derived",
"x-generator": "derive-json-schema.py",
"x-source": "openapi/ticexplorer-com-openapi.json#/components/schemas/AnalyticsRequest",
"properties": {
"codes": {
"items": {
"type": "string"
},
"type": "array",
"maxItems": 20,
"minItems": 1,
"title": "Codes",
"description": "1-20 CPT/HCPCS codes from find_codes. Codes that hospitals are paid per APC also bring in the hospitals' APC case rates."
},
"geography": {
"$ref": "#/$defs/Geography"
},
"payers": {
"items": {
"type": "string"
},
"type": "array",
"title": "Payers",
"description": "Insurer names as people say them (\"Premera\", \"Aetna\", \"Regence\", \"UnitedHealthcare\", \"Cigna\", \"Kaiser\"), catalog payer ids, or [\"major\"] = the largest insurers in this market (major_payers of them)."
},
"major_payers": {
"type": "integer",
"maximum": 8.0,
"minimum": 1.0,
"title": "Major Payers",
"description": "How many insurers \"major\" means.",
"default": 5
},
"files_per_payer": {
"type": "integer",
"maximum": 40.0,
"minimum": 1.0,
"title": "Files Per Payer",
"description": "Most rate files read per insurer (in-area and most-used files first). More = more coverage, more first-time indexing (time, price).",
"default": 8
},
"index_new_files": {
"type": "boolean",
"title": "Index New Files",
"description": "false = read only files that are already indexed (fast, nearly free; coverage may be lower). true = also index the in-scope files that are not yet indexed.",
"default": true
},
"providers": {
"type": "string",
"enum": [
"relevant",
"all"
],
"title": "Providers",
"description": "relevant = billing entities with evidence they provide the service (Medicare billing for the code, facility, hospital APC); all = also entities that merely hold a contracted rate.",
"default": "relevant"
},
"include_providers": {
"type": "boolean",
"title": "Include Providers",
"description": "Add the least / most expensive billing entities (name, TIN, site address, miles) to each result group.",
"default": false
},
"providers_per_group": {
"type": "integer",
"maximum": 25.0,
"minimum": 1.0,
"title": "Providers Per Group",
"default": 5
},
"max_price_usd": {
"anyOf": [
{
"type": "number",
"minimum": 0.0
},
{
"type": "null"
}
],
"title": "Max Price Usd",
"description": "Highest estimated usage charge (USD) the job may start with (default $1.00); above it the job is not started (409 price_confirmation_required)."
}
},
"type": "object",
"required": [
"codes",
"geography"
],
"$defs": {
"Geography": {
"properties": {
"zip": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Zip",
"description": "5-digit ZIP at the center of a radius, e.g. 98052."
},
"miles": {
"anyOf": [
{
"type": "number",
"maximum": 100.0,
"minimum": 1.0
},
{
"type": "null"
}
],
"title": "Miles",
"description": "Radius around zip in miles (default 25)."
},
"metro": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Metro",
"description": "Metro area name as in CMS CBSA names, e.g. \"Seattle\", \"Tacoma\", \"Denver-Aurora\" (a CBSA / metropolitan division)."
},
"cbsa": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Cbsa",
"description": "CBSA or metropolitan-division code, e.g. 42644 (Seattle-Bellevue-Kent, WA)."
},
"state": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "State",
"description": "2-letter state, e.g. WA (large: slower and costlier than a metro or a radius)."
}
},
"type": "object",
"title": "Geography",
"description": "The market: one of zip (+ miles), metro, cbsa or state."
}
}
}
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