FundMetricsResponse
Latest knowledge-mode metrics for a single mutual fund. Joins `public.funds` (registry) with `public.funds_latest` (the wide-row snapshot) and groups return components / diagnostics / meta into nested objects. Bitemporal triple is at the top level; lineage in `_metadata`.
Properties
| Name | Type | Description |
|---|---|---|
| bw_fund_id | string | |
| ticker | stringnull | |
| fund_name | stringnull | |
| equity_style_9box | stringnull | |
| report_date | string | |
| filing_date | string | |
| extracted_at | string | |
| returns | object | Portfolio-level return components from the per-fund Slice 8 zarr. |
| diagnostics | object | |
| meta | object | |
| _metadata | object |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://artifacts.apis.io/riskmodels-app/json-schema/riskmodels-app-fund-metrics-response-schema.json",
"title": "FundMetricsResponse",
"description": "Latest knowledge-mode metrics for a single mutual fund. Joins `public.funds` (registry) with `public.funds_latest` (the wide-row snapshot) and groups return components / diagnostics / meta into nested objects. Bitemporal triple is at the top level; lineage in `_metadata`.\n",
"x-generated": "2026-10-31",
"x-method": "derived",
"x-generator": "derive-json-schema.py",
"x-source": "openapi/riskmodels-app-openapi.json#/components/schemas/FundMetricsResponse",
"type": "object",
"required": [
"bw_fund_id",
"report_date",
"filing_date",
"extracted_at",
"returns",
"diagnostics",
"meta",
"_metadata"
],
"properties": {
"bw_fund_id": {
"type": "string"
},
"ticker": {
"type": [
"string",
"null"
]
},
"fund_name": {
"type": [
"string",
"null"
]
},
"equity_style_9box": {
"type": [
"string",
"null"
],
"enum": [
"Large Value",
"Large Blend",
"Large Growth",
"Mid Value",
"Mid Blend",
"Mid Growth",
"Small Value",
"Small Blend",
"Small Growth"
]
},
"report_date": {
"type": "string",
"format": "date"
},
"filing_date": {
"type": "string",
"format": "date"
},
"extracted_at": {
"type": "string",
"format": "date-time"
},
"returns": {
"type": "object",
"description": "Portfolio-level return components from the per-fund Slice 8 zarr.",
"properties": {
"gross": {
"type": [
"number",
"null"
],
"format": "float"
},
"market": {
"type": [
"number",
"null"
],
"format": "float"
},
"sector": {
"type": [
"number",
"null"
],
"format": "float"
},
"subsector": {
"type": [
"number",
"null"
],
"format": "float"
},
"idiosyncratic": {
"type": [
"number",
"null"
],
"format": "float"
},
"identity_residual": {
"type": [
"number",
"null"
],
"format": "float",
"description": "L3 noise diagnostic (gross − sum of layer returns)."
}
}
},
"diagnostics": {
"type": "object",
"properties": {
"weight_sum": {
"type": [
"number",
"null"
],
"format": "float",
"description": "ERM3 universe coverage (fraction of fund AUM in mapped symbols)."
},
"n_holdings_active": {
"type": [
"integer",
"null"
]
},
"effective_n": {
"type": [
"number",
"null"
],
"format": "float",
"description": "HHI-derived diversification (1 / sum(w_i^2))."
},
"top10_weight_sum": {
"type": [
"number",
"null"
],
"format": "float"
}
}
},
"meta": {
"type": "object",
"properties": {
"total_adj_mv": {
"type": [
"number",
"null"
],
"format": "float"
},
"n_funds_in_cell_at_report_date": {
"type": [
"integer",
"null"
]
},
"morningstar_category": {
"type": [
"string",
"null"
]
},
"primary_bw_fund_id": {
"type": [
"string",
"null"
]
},
"status": {
"type": [
"string",
"null"
],
"enum": [
"active",
"delisted"
]
},
"death_date": {
"type": [
"string",
"null"
],
"format": "date"
},
"latest_report_date": {
"type": [
"string",
"null"
],
"format": "date",
"description": "Period end of the fund's last reported holdings."
}
}
},
"_metadata": {
"type": "object",
"properties": {
"model_version": {
"type": [
"string",
"null"
]
},
"factor_set_id": {
"type": [
"string",
"null"
]
},
"data_as_of": {
"type": "string",
"format": "date"
},
"data_freshness": {
"type": "string",
"format": "date-time"
},
"last_synced_at": {
"type": "string",
"format": "date-time"
}
}
}
}
}
Work with this as data
Every JSON Schema here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for schemas
4 MCP tools reach this
find_json_schemasBrowse and filter every JSON Schema in the catalog.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
curl "https://apis.io/api/v1/json-schemas/riskmodels-app-fund-metrics-response"
curl "https://apis.io/api/v1/json-schemas?limit=25"
Discovery needs no key. Ratings and market analysis are Pro.
Get an API key
Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.
A second provider on the same verified email joins the account you already have.