curl -X POST \
  -H "x-api-key: $SECAPI_API_KEY" \
  -H "secapi-version: 2026-03-19" \
  -H "content-type: application/json" \
  -d '{"country":"US","lookback":"12m","category":"style","keys":["VALUE","MOMENTUM","QUALITY"],"holdings":[{"symbol":"AAPL","weight":0.35},{"symbol":"MSFT","weight":0.3},{"symbol":"NVDA","weight":0.2},{"symbol":"JPM","weight":0.15}],"benchmarkLabel":"NASDAQ 100","benchmarkHoldings":[{"symbol":"QQQ","weight":1}]}' \
  "https://api.secapi.ai/v1/intelligence/portfolio?response_mode=compact&include=trust"

{
  "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,
  "requestId": "req_2ZK8Q1W9F4M6P7R3",
  "traceparent": "00-4bf92f3577b34da6a3ce929d0e0e4736-00f067aa0ba902b7-01"
}