Properties
| Name | Type | Description |
|---|---|---|
| tools | array | |
| budget | object |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://artifacts.apis.io/riveterhq-com/json-schema/riveterhq-com-tool-catalog-schema.json",
"title": "ToolCatalog",
"x-generated": "2026-10-31",
"x-method": "derived",
"x-generator": "derive-json-schema.py",
"x-source": "openapi/riveterhq-com-openapi.json#/components/schemas/ToolCatalog",
"type": "object",
"properties": {
"tools": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The name to use in only_tools / additional_tools"
},
"description": {
"type": "string"
},
"credits_per_call": {
"type": "number"
},
"price_note": {
"type": [
"string",
"null"
],
"description": "When the price is not flat — the scrape settles to its outcome, pdf and image to the tokens their model spent reading the file (credits_per_call is what is booked before the call), text_search_pdf to the PDF's page count; the LinkedIn email / phone tools are charged only when the call returns a contact. Null for a flat price."
},
"default": {
"type": "boolean",
"description": "On without being named"
},
"requires_opt_in": {
"type": "boolean",
"description": "A Riveter admin enables it on the account; false for the default tools and the ones any account may add"
},
"enabled": {
"type": "boolean",
"description": "Usable on this account (opt-in satisfied or not needed; says nothing about the API key)"
},
"requires_api_key": {
"type": "boolean",
"description": "Calls its provider with the account's own API key (Apollo, Hunter, Findymail, curl, USPTO); refused until one is linked under Settings > API keys"
},
"api_key_linked": {
"type": [
"boolean",
"null"
],
"description": "Whether the account has linked a key for this tool; null when the tool needs none"
},
"companions": {
"type": "array",
"items": {
"type": "string"
},
"description": "Free helper tools this tool brings along"
},
"inputs": {
"type": "array",
"description": "What a call takes. On a pinned column the agent fills these from the row's columns or its research, so the dataset should carry them (a LinkedIn URL column for the LinkedIn tools, a domain for the Hunter domain search).",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"type": {
"type": [
"string",
"null"
],
"description": "string / integer / number / boolean / object; null when the input takes more than one shape"
},
"required": {
"type": "boolean"
},
"description": {
"type": [
"string",
"null"
]
}
}
}
},
"input_groups": {
"type": [
"array",
"null"
],
"description": "When set, any one complete group of inputs is enough (`[[\"linkedin_handle\"], [\"domain\", \"full_name\"]]`) and `required` is false on each",
"items": {
"type": "array",
"items": {
"type": "string"
}
}
},
"returns": {
"type": [
"string",
"null"
],
"description": "What a call gives back — on a pinned column, what the cell holds"
}
}
}
},
"budget": {
"type": "object",
"properties": {
"default_credits_per_output_column": {
"type": "number",
"description": "A new enrichment's budget per row is this times its output columns; it moves by this much per column added or removed until locked"
},
"min_credits_per_row": {
"type": "number"
},
"max_credits_per_row": {
"type": "number"
}
}
}
}
}
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