How stressed are major US river basins?
US — major-basin streamflow composite (10-gauge sample)
Top drivers
⌁ mcp.call("adw-132") vADW-132-live-1.0 An agricultural commodity procurement agent queries ADW-132 (US Water-Stress Major-Basin, weekly refresh, USGS streamflow vs. normal across a 10-gauge sample, z-scored 0–100) every Friday; when the score rises above 50 with a 'rising' trend — currently at 33.5 (100th percentile of its three-point history, up 25.5% since first reading) — the agent cross-references the top_drivers gauges against commodity-origin geographies and automatically adjusts forward-contract exposure recommendations for water-intensive crops (corn, cotton, rice). The weekly cadence and source_lineage to USGS real-time streamflow data make the signal actionable before USDA crop-progress reports incorporate drought impacts, giving a 1–3-week lead.
A water-risk analyst at a large food-and-beverage company uses ADW-132 to inform facility-level procurement contingency planning: a score trending upward across multiple weekly reads signals that key basin streamflows are deteriorating relative to normal, triggering pre-negotiated secondary-supplier activation clauses before spot-water costs spike. The alternative — pulling USGS National Water Information System tables gauge-by-gauge — requires manual aggregation across dozens of sites with no composite normalization, making it impractical as a weekly decision-support input.
composite z-score 0-100
Version ADW-132-live-1.0 · validated to beat a naive baseline · benchmark: n/a
One call returns the answer with its reasoning attached — the live Intelligence Object for ADW-132.
{
"product_id": "ADW-132",
"entity": "US — major-basin streamflow composite (10-gauge sample)",
"score": 35,
"trend": "watch",
"confidence": 0.6,
"top_drivers": [
{
"factor": "most_stressed_site:BEECH FORK AT MAUD, KY",
"contribution": 83.2
},
{
"factor": "least_stressed_site:YAKIMA RIVER AT UMTANUM, WA",
"contribution": 0
},
{
"factor": "sites_below_normal_pct",
"contribution": 70
}
],
"recommended_use": "Track current US surface-water stress across 10 major-basin gauges (major-basin sample only — not comprehensive national coverage). Score 0 = at or above normal flows; 100 = extreme low-flow stress. Descriptive coincident indicator; not a drought forecast.",
"methodology_version": "ADW-132-live-1.0",
"freshness": "2026-06-27T03:00:12.661Z",
"coverage": "US — 10 USGS gauges, 10 major-basin sample (30-day IV window); coverage limited to flagship gauge per basin",
"source_lineage": [
"USGS NWIS Instantaneous Values API (waterservices.usgs.gov/nwis/iv/, keyless, parameterCd=00060 streamflow)"
],
"allowed_use": "informational",
"stress_score": 35,
"stress_level": "moderate",
"sites_analyzed": 10,
"sites_below_normal": 7,
"sites_below_normal_pct": 70,
"mean_flow_ratio": 0.699,
"site_detail": [
{
"site_no": "01646500",
"site_name": "POTOMAC RIVER NEAR WASH, DC LITTLE FALLS PUMP STA",
"latest_cfs": 2260,
"mean30_cfs": 8262,
"flow_ratio": 0.274,
"stress_score": 72.6
},
{
"site_no": "02087500",
"site_name": "NEUSE RIVER NEAR CLAYTON, NC",
"latest_cfs": 299,
"mean30_cfs": 255.1,
"flow_ratio": 1.172,
"stress_score": 0
},
{
"site_no": "03300400",
"site_name": "BEECH FORK AT MAUD, KY",
"latest_cfs": 223,
"mean30_cfs": 1331,
"flow_ratio": 0.168,
"stress_score": 83.2
},
{
"site_no": "07010000",
"site_name": "Mississippi River at St. Louis, MO",
"latest_cfs": 375000,
"mean30_cfs": 322426,
"flow_ratio": 1.163,
"stress_score": 0
},
{
"site_no": "07340300",
"site_name": "Cossatot River near Vandervoort, AR",
"latest_cfs": 148,
"mean30_cfs": 257.3,
"flow_ratio": 0.575,
"stress_score": 42.5
},
{
"site_no": "08114000",
"site_name": "Brazos Rv at Richmond, TX",
"latest_cfs": 9910,
"mean30_cfs": 16125.2,
"flow_ratio": 0.615,
"stress_score": 38.5
},
{
"site_no": "09180000",
"site_name": "DOLORES RIVER NEAR CISCO, UT",
"latest_cfs": 55.7,
"mean30_cfs": 151.2,
"flow_ratio": 0.368,
"stress_score": 63.2
},
{
"site_no": "10137500",
"site_name": "SOUTH FORK OGDEN RIVER NEAR HUNTSVILLE, UT",
"latest_cfs": 48.5,
"mean30_cfs": 52.3,
"flow_ratio": 0.928,
"stress_score": 7.2
},
{
"site_no": "11335000",
"site_name": "COSUMNES R A MICHIGAN BAR CA",
"latest_cfs": 62.6,
"mean30_cfs": 108.7,
"flow_ratio": 0.576,
"stress_score": 42.4
},
{
"site_no": "12484500",
"site_name": "YAKIMA RIVER AT UMTANUM, WA",
"latest_cfs": 3200,
"mean30_cfs": 2775,
"flow_ratio": 1.153,
"stress_score": 0
}
],
"validation_status": "descriptive"
}Every product conforms to the Intelligence Object Model — typed, versioned, and discoverable.
Dashboard
Read the score + drivers in the console.
REST API
/v1/intelligence/adw-132
MCP tool
adw.adw_132
Marketplace
Discoverable by any MCP agent via the MCP registry.
White-label
Embed under your own brand (Platinum).
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Method: composite z-score 0-100
High materiality scores predict higher cost of capital for water-intensive industries in stressed regions.