Products

Copilot

Copilot combines ticker research and portfolio context into structured responses.

Live API

It exposes the available source evidence and the limits of that evidence.

Interpret the result#

Single-ticker and portfolio routes can return scores, model evidence, narrative, and source coverage. Return estimates, calibrated intervals, and suggested position sizes are conditional on the route's evidence and capital-authorization checks. Missing or withheld fields are not zero, and a research score alone is not a position-sizing recommendation.

/api/v3/copilot/ticker_full/{ticker} aggregates transparency and smart-money layers. Inspect each layer for missing or stale data. Its candidate_weight_pct parameter is echoed context reserved for a separate sizing integration; passing it does not produce portfolio-aware sizing.

Access#

10 credits/call. Included on the Expert and Enterprise plans, or via the $199/mo Copilot add-on on any paid base plan (Starter or Pro).

Endpoints#

MethodPathDescription
GET/api/v1/copilot/score/{ticker}Ticker research with evidence and authorization gates; numerical return and sizing fields can be withheld.
POST/api/v1/copilot/portfolioScore a list of user-held tickers; aggregate factor tilts; identify top-3 names to trim/add.
GET/api/v3/copilot/ticker_full/{ticker}Omnibus single-stock aggregation: transparency (ML drivers, prediction, calibration, voter IC drift, coverage) + smart-money (13F changes, institutional ownership, insider trades, options flow, dark pool, max pain, GEX) — 12 layers fanned in parallel, 1 HTTP request.

Examples#

Bash#

Get a single-ticker verdict:

Shell
1curl -H "Authorization: Bearer $TENGU_API_KEY" \2  "https://firm.wealthnow.io/api/v1/copilot/score/AAPL"

Post a portfolio for scoring:

Shell
1curl -X POST -H "Authorization: Bearer $TENGU_API_KEY" \2  -H "Content-Type: application/json" \3  -d '{4    "holdings": [5      {"ticker": "AAPL", "weight_pct": 0.15},6      {"ticker": "MSFT", "weight_pct": 0.12},7      {"ticker": "NVDA", "weight_pct": 0.10}8    ]9  }' \10  "https://firm.wealthnow.io/api/v1/copilot/portfolio"

Response fields differ by endpoint. Check coverage, freshness, availability, and capital_authorized before using numerical return or sizing fields. Do not assume a ticker aggregation shares the score endpoint's response shape.

Python#

Read the returned portfolio evidence:

Python
1import os, requests2 3r = requests.post(4    "https://firm.wealthnow.io/api/v1/copilot/portfolio",5    headers={"Authorization": f"Bearer {os.environ['TENGU_API_KEY']}"},6    json={7        "holdings": [8            {"ticker": "AAPL", "weight_pct": 0.15},9            {"ticker": "MSFT", "weight_pct": 0.12},10        ]11    },12    timeout=30,13)14r.raise_for_status()15envelope = r.json()16print(f"Timestamp: {envelope['timestamp']}")17print(f"Portfolio score: {envelope['portfolio_score']:+.3f}")18print(f"Weighted decile: {envelope['weighted_decile']:.1f}/10")19print(f"Coverage: {envelope['coverage_pct']:.0%} of holdings in prediction universe")20print(f"Factor tilts: {envelope['factor_tilts']}")21print(f"Narrative: {envelope['narrative']}")

Ticker collisions: crypto vs equity#

Nine tickers name both a crypto asset and a US-listed equity: BTC, ETH, LINK, LTC, COMP, ARB, NEAR, APT, ATOM.

asset_class defaults to equity; pass it explicitly so the namespace is never inferred:

Shell
1# the US-listed equity, not Bitcoin2curl -H "X-API-Key: $TENGU_API_KEY" \3  "https://firm.wealthnow.io/api/v3/intel/ml_prediction/BTC?asset_class=equity"

Responses for those nine carry a disambiguation note:

JSON
1{2  "ticker_collision": {3    "note": "This is the US-listed equity 'BTC'. For the crypto asset, pass asset_class=crypto.",4    "crypto_available": false,5    "asset_class": "equity"6  }7}

Requesting the crypto side fails closed with 404 crypto_model_unavailable rather than silently returning the equity. That error never means "use the equity instead." Non-colliding tickers are unaffected.

  • API reference — complete endpoint catalog with per-route credit costs and plan access.
  • Pricing & credits — plan tier details, add-on pricing, and credit consumption.
  • Quant Signals — underlying 19-voter decomposition, ML predictions, and conformal intervals (Starter+).