> ## Documentation Index
> Fetch the complete documentation index at: https://docs.secapi.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# GET /v1/model-portfolios/{portfolioId}/factor-view

> Return a model-portfolio factor view with aggregate analysis and per-position exposures for drill-down workflows

Return a model-portfolio factor view with aggregate analysis and per-position exposures for drill-down workflows

<Info>
  Audience: application and coding agent.
</Info>

## Canonical metadata

* `requestId`
* `traceparent`

## Example request

<RequestExample>
  ```bash theme={null}
  curl -X GET \
    -H "x-api-key: $SECAPI_API_KEY" \
    -H "secapi-version: 2026-03-19" \
    "https://api.secapi.ai/v1/model-portfolios/growth-quality-core/factor-view"
  ```
</RequestExample>

## Example response

<ResponseExample>
  ```json theme={null}
  {
    "object": "model_portfolio_factor_view",
    "id": "model_portfolio_factor_view:growth-quality-core:2026-06-09",
    "portfolioId": "growth-quality-core",
    "label": "Growth Quality Core",
    "description": "Saved model portfolio factor view.",
    "tags": [
      "model-builder",
      "growth"
    ],
    "holdings": [
      {
        "symbol": "AAPL",
        "weight": 0.35
      },
      {
        "symbol": "MSFT",
        "weight": 0.3
      },
      {
        "symbol": "NVDA",
        "weight": 0.2
      },
      {
        "symbol": "JPM",
        "weight": 0.15
      }
    ],
    "analysis": {
      "object": "portfolio_analysis",
      "id": "portfolio_analysis:growth-quality-core:2026-06-09",
      "asOf": "2026-06-09T22:15:00.000Z",
      "holdings": [
        {
          "symbol": "AAPL",
          "weight": 0.35
        },
        {
          "symbol": "MSFT",
          "weight": 0.3
        },
        {
          "symbol": "NVDA",
          "weight": 0.2
        },
        {
          "symbol": "JPM",
          "weight": 0.15
        }
      ],
      "exposures": [
        {
          "object": "factor_exposure",
          "id": "factor_exposure:AAPL:VALUE:2026-06-09",
          "subjectType": "security",
          "subjectKey": "AAPL",
          "factorKey": "VALUE",
          "beta": -0.42,
          "percentile": 18.2,
          "confidence": "high",
          "modelName": "secapi_stock_basket_factor_model_v1",
          "asOf": "2026-06-09T22:15:00.000Z",
          "responseMode": "compact",
          "expansionHints": [
            "Use include=diagnostics or response_mode=standard for regression diagnostics such as rSquared, tStat, and observationCount."
          ]
        }
      ],
      "fit": null,
      "benchmarkLabel": "NASDAQ 100",
      "benchmarkTilts": [],
      "whatIfComparison": null,
      "positionViews": [],
      "positionExposures": [
        {
          "object": "factor_exposure",
          "id": "factor_exposure:AAPL:VALUE:2026-06-09",
          "subjectType": "security",
          "subjectKey": "AAPL",
          "factorKey": "VALUE",
          "beta": -0.42,
          "percentile": 18.2,
          "confidence": "high",
          "modelName": "secapi_stock_basket_factor_model_v1",
          "asOf": "2026-06-09T22:15:00.000Z",
          "responseMode": "compact",
          "expansionHints": [
            "Use include=diagnostics or response_mode=standard for regression diagnostics such as rSquared, tStat, and observationCount."
          ]
        }
      ],
      "attribution": [
        {
          "key": "VALUE",
          "label": "Value",
          "category": "factor",
          "contributionPercent": -0.48,
          "explanation": "Negative value beta detracted as value lagged over the selected window."
        }
      ],
      "hedgeSuggestions": [
        {
          "symbol": "VLUE",
          "instrumentType": "etf",
          "rationale": "Offsets the portfolio's negative value exposure with a liquid value ETF sleeve.",
          "expectedExposureDelta": {
            "VALUE": 0.18
          },
          "confidence": "medium"
        }
      ],
      "optimizationNotes": [
        "Candidate search respected max position and turnover constraints."
      ],
      "factorNeutralPlan": [
        "Reduce negative VALUE exposure before increasing MOMENTUM exposure."
      ],
      "optimizerObjective": "factor_neutral",
      "optimizerConstraints": {
        "maxCandidates": 3,
        "maxIterations": 50,
        "maxRuntimeMs": 750,
        "maxPositionWeight": 0.4,
        "minPositionWeight": 0.02,
        "longOnly": true,
        "turnoverLimit": 0.25,
        "riskFreeRate": 0.04
      },
      "optimizerRuntime": {
        "object": "portfolio_optimizer_runtime",
        "method": "bounded_deterministic_candidate_search",
        "candidateCount": 3,
        "iterationBudget": 50,
        "iterationsRun": 38,
        "runtimeMs": 118,
        "maxRuntimeMs": 750,
        "timeout": false
      },
      "optimizerCandidateCount": 1,
      "optimizerCandidateSample": [
        {
          "object": "portfolio_optimizer_candidate",
          "rank": 1,
          "name": "Factor-neutral tilt",
          "objective": "factor_neutral",
          "expectedReturn": 0.087,
          "expectedVolatility": 0.164,
          "expectedSharpe": 0.53,
          "maxDrawdownProxy": -0.18,
          "factorExposureScore": 0.21,
          "turnover": 0.12,
          "score": 0.81,
          "constraintStatus": "ok",
          "constraintsApplied": [
            "turnoverLimit"
          ],
          "rationale": "Improves factor balance without breaching turnover or concentration limits."
        }
      ],
      "selectedCandidate": null,
      "optimizerDisclosures": [
        "Optimizer output is a deterministic scenario, not investment advice."
      ],
      "disclosures": [
        "Research scenario only. Not investment advice or a recommendation to trade."
      ],
      "summaryMd": "Portfolio is growth and quality tilted with a moderate negative value exposure.",
      "responseMode": "compact",
      "dataAsOf": "2026-06-09",
      "freshnessStatus": "fresh",
      "methodologyVersion": "secapi_portfolio_factor_v1",
      "materializationVersion": "2026-06-09",
      "provenance": {
        "source": "secapi_factor_pipeline",
        "sourceLabel": "SecAPI factor pipeline",
        "accessionNumber": null,
        "filingUrl": "https://docs.secapi.ai/factors/methodology",
        "acceptedAt": null,
        "retrievedAt": "2026-06-09T22:15:00.000Z",
        "parserVersion": "secapi-factor-pipeline"
      },
      "freshness": {
        "status": "fresh",
        "asOf": "2026-06-09T22:15:00.000Z",
        "sourcePublishedAt": "2026-06-09T21:30:00.000Z",
        "lagMs": 2700000
      },
      "materialization": {
        "parserVersion": "secapi-factor-pipeline",
        "materializationVersion": "2026-06-09"
      },
      "sourceRights": {
        "source": "secapi_owned_factor_pipeline",
        "sourceLabel": "SecAPI factor pipeline",
        "posture": "public_safe",
        "publicAvailability": "public",
        "contractStatus": "approved",
        "restrictions": [],
        "notes": "SecAPI-owned derived factor data."
      },
      "methodology": {
        "id": "secapi_factor_returns",
        "version": "v1",
        "summary": "SecAPI-owned daily factor returns, exposures, and portfolio analytics built for agent and API workflows.",
        "confidence": "high",
        "launchState": "beta",
        "inputs": [
          "secapi_factor_returns",
          "secapi_factor_exposures",
          "market_calendar"
        ],
        "validation": {
          "launchHistoryFloor": "2015-01-01",
          "marketCalendarAware": true
        }
      },
      "revision": {
        "sourcePublishedAt": "2026-06-09T21:30:00.000Z",
        "retrievedAt": "2026-06-09T22:15:00.000Z",
        "vintageId": "2026-06-09",
        "revisedFrom": null
      },
      "degradedState": null
    },
    "positionViews": [],
    "positionExposures": [
      {
        "object": "factor_exposure",
        "id": "factor_exposure:AAPL:VALUE:2026-06-09",
        "subjectType": "security",
        "subjectKey": "AAPL",
        "factorKey": "VALUE",
        "beta": -0.42,
        "percentile": 18.2,
        "confidence": "high",
        "modelName": "secapi_stock_basket_factor_model_v1",
        "asOf": "2026-06-09T22:15:00.000Z",
        "responseMode": "compact",
        "expansionHints": [
          "Use include=diagnostics or response_mode=standard for regression diagnostics such as rSquared, tStat, and observationCount."
        ]
      }
    ],
    "responseMode": "compact",
    "dataAsOf": "2026-06-09",
    "freshnessStatus": "fresh",
    "methodologyVersion": "secapi_factor_returns_v1",
    "materializationVersion": "2026-06-09",
    "provenance": {
      "source": "secapi_factor_pipeline",
      "sourceLabel": "SecAPI factor pipeline",
      "accessionNumber": null,
      "filingUrl": "https://docs.secapi.ai/factors/methodology",
      "acceptedAt": null,
      "retrievedAt": "2026-06-09T22:15:00.000Z",
      "parserVersion": "secapi-factor-pipeline"
    },
    "freshness": {
      "status": "fresh",
      "asOf": "2026-06-09T22:15:00.000Z",
      "sourcePublishedAt": "2026-06-09T21:30:00.000Z",
      "lagMs": 2700000
    },
    "materialization": {
      "parserVersion": "secapi-factor-pipeline",
      "materializationVersion": "2026-06-09"
    },
    "sourceRights": {
      "source": "secapi_owned_factor_pipeline",
      "sourceLabel": "SecAPI factor pipeline",
      "posture": "public_safe",
      "publicAvailability": "public",
      "contractStatus": "approved",
      "restrictions": [],
      "notes": "SecAPI-owned derived factor data."
    },
    "methodology": {
      "id": "secapi_factor_returns",
      "version": "v1",
      "summary": "SecAPI-owned daily factor returns, exposures, and portfolio analytics built for agent and API workflows.",
      "confidence": "high",
      "launchState": "beta",
      "inputs": [
        "secapi_factor_returns",
        "secapi_factor_exposures",
        "market_calendar"
      ],
      "validation": {
        "launchHistoryFloor": "2015-01-01",
        "marketCalendarAware": true
      }
    },
    "revision": {
      "sourcePublishedAt": "2026-06-09T21:30:00.000Z",
      "retrievedAt": "2026-06-09T22:15:00.000Z",
      "vintageId": "2026-06-09",
      "revisedFrom": null
    },
    "degradedState": null,
    "requestId": "req_2ZK8Q1W9F4M6P7R3",
    "traceparent": "00-4bf92f3577b34da6a3ce929d0e0e4736-00f067aa0ba902b7-01"
  }
  ```
</ResponseExample>

## Give this prompt to your agent

<Prompt>
  Use SEC API GET /v1/model-portfolios/{portfolioId}/factor-view for a saved model portfolio's factor profile. Preserve `portfolioId`, `label`, `holdings`, `analysis`, `positionViews`, `positionExposures`, `freshness`, `methodology`, `requestId`, and `traceparent`.
</Prompt>

## Failure posture

* treat non-2xx responses as contract-aware failures, not free-form errors
* preserve `requestId` and `traceparent` in logs and downstream reports
* if provenance or freshness metadata is present, return it unchanged so trust is not lost in the handoff
