Add input_cost_trend / input_cost_series MCP tools (EIA diesel)
Real input price + WoW/YoY change + seasonal for diesel ($/gal). Formatters now handle the item/label payload shape. Changelog updated. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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@@ -26,8 +26,21 @@ not an index.
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- `GET /api/data/price-series?commodity=&geo=&start_year=&end_year=` — raw series.
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- `GET /api/data/price-geographies?commodity=` — which geos (US + states) exist.
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All grain: corn/soy/wheat, all 50 states + US. (Input-cost trends — diesel,
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fertilizer — coming next.)
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All grain: corn/soy/wheat, all 50 states + US.
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### Input-cost tools (real $ + change)
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- **`input_cost_trend(item, years=10)`** — real input price with the move.
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Currently `item="diesel"` (EIA U.S. retail $/gal, weekly, back to 1994):
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latest price + week-over-week and year-over-year change + seasonal
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percentile/range. (For current fertilizer $/ton, `current_input_price` (DTN)
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still applies; more inputs extend this same tool.)
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- **`input_cost_series(item)`** — raw historical series for an input.
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- API: `GET /api/data/input-cost-trend?item=&years=`,
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`GET /api/data/input-cost-series?item=`.
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USDA stopped publishing dollar input prices in 2014, so these use real-dollar
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sources (EIA) rather than an index.
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## 2026-05-30 — Source geo + many more locations
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@@ -80,6 +80,14 @@ def price_series(commodity: str, geo: str = "US",
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start_year=start_year, end_year=end_year)
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def input_cost_trend(item: str, years: int = 10) -> dict:
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return _get("/api/data/input-cost-trend", item=item, years=years)
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def input_cost_series(item: str) -> dict:
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return _get("/api/data/input-cost-series", item=item)
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def futures(commodity: str, delivery: str | None = None) -> dict:
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return _get("/api/data/futures", commodity=commodity, delivery=delivery)
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@@ -130,14 +130,16 @@ _MONTH_NAMES_3 = ["Jan", "Feb", "Mar", "Apr", "May", "Jun",
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def fmt_price_trend(payload: dict, label: str = "price received") -> str:
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commodity = payload.get("commodity")
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name = payload.get("commodity") or payload.get("item")
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geo = payload.get("geo")
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label = payload.get("label") or label
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unit = payload.get("unit") or "$/bu"
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t = payload.get("trend")
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loc = f" — {geo}" if geo else ""
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if not t:
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return f"### {commodity} — {geo} — {label}\n\nNo data on file.\n"
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return f"### {name}{loc} — {label}\n\nNo data on file.\n"
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when = _ym(t["period"])
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lines = [f"### {commodity} — {geo} — {label}, {when}: {_unit_money(t['value_cents'], unit)}", ""]
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lines = [f"### {name}{loc} — {label}, {when}: {_unit_money(t['value_cents'], unit)}", ""]
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arrow = _delta_arrow(t.get("change_cents"))
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lines.append(f"- **Change:** {arrow} {_signed(t.get('change_cents'))} ({_pct(t.get('change_pct'))}) vs prior period")
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if t.get("yoy_cents") is not None:
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@@ -155,14 +157,15 @@ def fmt_price_trend(payload: dict, label: str = "price received") -> str:
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def fmt_price_series(payload: dict, max_points: int = 60) -> str:
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commodity = payload.get("commodity")
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name = payload.get("commodity") or payload.get("item")
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geo = payload.get("geo")
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unit = payload.get("unit") or "$/bu"
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series = payload.get("series") or []
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loc = f" — {geo}" if geo else ""
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if not series:
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return f"### {commodity} — {geo} series\n\nNo data on file.\n"
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return f"### {name}{loc} series\n\nNo data on file.\n"
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shown = series[-max_points:]
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head = [f"### {commodity} — {geo} — {payload.get('count', len(series))} periods "
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head = [f"### {name}{loc} — {payload.get('count', len(series))} periods "
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f"(showing last {len(shown)})", "",
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"| Period | Price |", "|---|---:|"]
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body = [f"| {_ym(p['period'])} | {_unit_money(p['value_cents'], unit)} |" for p in shown]
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@@ -303,6 +303,42 @@ def price_series(
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return fmt.fmt_price_series(payload)
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VALID_INPUTS = {"diesel"}
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@mcp.tool()
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def input_cost_trend(
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item: Annotated[
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str, Field(description="Input to price. Currently: 'diesel' (U.S. retail $/gal).")
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],
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years: Annotated[
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int, Field(ge=1, le=120, description="Baseline window for the seasonal normal/percentile."),
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] = 10,
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) -> str:
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"""Real input cost with the change — e.g. U.S. retail diesel ($/gal).
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Latest real price + week-over-week and year-over-year moves + seasonal
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percentile/range. Fills the input-cost side for the advisor (fuel). For
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current fertilizer $/ton use current_input_price."""
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it = item.strip().lower()
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with track("input_cost_trend", item=it, years=years):
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if it not in VALID_INPUTS:
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return f"`item` must be one of: {sorted(VALID_INPUTS)}"
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return fmt.fmt_price_trend(client.input_cost_trend(item=it, years=years))
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@mcp.tool()
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def input_cost_series(
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item: Annotated[str, Field(description="Input: 'diesel'.")],
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) -> str:
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"""Raw historical series for a tracked input cost (diesel, $/gal)."""
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it = item.strip().lower()
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with track("input_cost_series", item=it):
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if it not in VALID_INPUTS:
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return f"`item` must be one of: {sorted(VALID_INPUTS)}"
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return fmt.fmt_price_series(client.input_cost_series(item=it))
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@mcp.tool()
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def list_sources() -> str:
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"""All active scrapers + their last-success timestamps and any pending failures."""
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@@ -118,6 +118,19 @@ def test_fmt_price_trend_diesel_units():
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assert "$5.520/gal" in out # 3-decimal $/gal formatting
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def test_fmt_input_cost_payload_shape():
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# Input-cost payload uses item/label and has no geo.
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payload = {"item": "diesel", "label": "retail diesel", "unit": "$/gal", "source": "EIA",
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"trend": {"period": "2026-05-25", "value_cents": 552, "prev_cents": 560,
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"change_cents": -8, "change_pct": -1.4, "yoy_cents": 349,
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"yoy_change_cents": 203, "yoy_pct": 58.2, "seasonal": None,
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"recent_direction": "down", "baseline_years": 10, "points": 1680}}
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out = fmt.fmt_price_trend(payload)
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assert "diesel — retail diesel" in out # item/label header, no geo segment
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assert "$5.520/gal" in out
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assert "+58.2%" in out # YoY surfaced
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def test_fmt_inputs_lime_table():
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payload = {
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"product": "lime", "count": 2,
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