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Good Earth

Region-scoped climate analytics for small specialty-crop and flower farms, monetized with Tollbooth DPYC™ Bitcoin Lightning micropayments.

Sibling of the Good Brew store.

The idea

A farm is not a point. A bench and a hollow on the same acreage do not share a frost date, and every free weather calculator answers for a pin.

Good Earth answers for ground. Every tool accepts a GeoJSON polygon or a {lat, lon, radius_m} pin, samples the terrain inside it, and returns an aggregate plus the spread across it. That spread is the product: it tells a grower whether one planting date serves the whole block.

      YOU (operator, human in the loop)
        │                         │
        │ set & tune prices       │ drive credential intake
        ▼                         ▼
  ┌───────────────┐        ┌──────────────────────────────────────────────┐
  │ Pricing Studio│ prices │        Good Earth — OPERATOR MCP              │
  │    (iOS)      ├───────▶│        FastMCP · deployed on Horizon          │
  └───────────────┘  Neon  │  ┌────────────────────────────────────────┐  │
                           │  │ region · sources · gdd · season        │  │
   Patron (Citizen)        │  │ @runtime.paid_tool(FROZEN_UUID) tools   │  │
   + MCP client  ─────────▶│  ├────────────────────────────────────────┤  │
   (Claude, the SPA) npub  │  │ tollbooth-dpyc SDK (the wheel)          │  │
                    +sats  │  │  ledger · vault (AES-256-GCM) · pricing │  │
                           │  │  ConstraintGate · Secure Courier·audit  │  │
                           │  └────────────────────────────────────────┘  │
                           └───┬─────────┬──────────┬───────────┬─────────┘
                               ▼         ▼          ▼           ▼
                         Neon Postgres  BTCPay▶  Sponsor     Nostr relays
                         (your schema)  Lightning Authority   proofs·courier
                         ledger+pricing invoices  certify +    DMs·audit
                                                  provision        │
                     Open-Meteo archive ◀── domain   │             ▼
                     forecast · elevation   calls    └──▶ DPYC Oracle +
                                                          dpyc-community

Related MCP server: CropProphEU

How the spread is actually produced

This is the design decision the whole product rests on, so it is stated plainly rather than buried.

The free gridded temperature feeds resolve about 9 km. Two sample points on one farm land in the same cell and return byte-identical numbers — reporting that as "the range across your region" would be a lie dressed as data. Terrain, however, resolves at 90 m, and terrain is what varies within a farm.

So Good Earth reads the regional signal from the coarse feed and derives within-region variation from elevation:

Effect

Applies to

Why

Lapse rate (3.57 °F / 1000 ft)

max and min

Higher ground is colder

Cold-air drainage (capped at 6 °F)

min only

Dense cold air pools in hollows on the still, clear nights when frost happens

Every response carries the native resolution of each feed it used, so a grower is never sold precision the data does not contain.

Tools

Tool

Phase

Answers

goodearth_gdd_season_curve

T1 — shipped

Heat accumulation across a region, vs the last 10 seasons

goodearth_region_climate_bundle

T2

Heat + water + light in one priced call

goodearth_frost_window

T2

First-frost dates and near-term risk, with drainage spread

goodearth_dli_curve, goodearth_water_balance

T3

Light and water lenses

goodearth_soil_temp_projection, goodearth_crop_gdd_status, goodearth_finish_before_frost

T4

Per-planting timing

goodearth_pest_threshold

T5

Model GDD vs accumulated; crossing dates

goodearth_calibration

T6

Per-region bias correction from patron field reports

Standard DPYC tools (check_balance, purchase_credits, Secure Courier, Oracle, pricing, constraints) come from the wheel via register_standard_tools — none of it is reimplemented here.

Data sources

All free, all public, no API key.

Source

Role

Native resolution

Open-Meteo archive (ERA5)

Observed daily max/min

~9 km

Open-Meteo forecast

7-day extension

~11 km

Open-Meteo elevation (SRTM)

Terrain downscaling

~90 m

A whole-region season read costs three upstream requests regardless of sample count: sample points are folded onto the archive's own grid so a distinct cell is fetched once, and the ten-season normals band is one span request sliced locally rather than ten separate calls.

Onboarding roadmap

  1. Nostr keypair — generate one (nak key generate); the nsec is the single env var the server needs (TOLLBOOTH_NOSTR_OPERATOR_NSEC).

  2. Sponsor Authority — register; it provisions your Neon database.

  3. Secure Courier — deliver btcpay_host, btcpay_api_key, btcpay_store_id via goodearth_request_credential_channel. Never as env vars, never in code.

  4. Set prices in Pricing Studio — new tools start unpriced and nobody can call an unpriced tool.

  5. Deploy on Horizonfastmcp.json is already wired.

Get Pricing Studio (iOS). It reads and writes the pricing model live in Neon, so prices never live in code — surge, happy-hour, loyalty discounts and free trials are the thing a flat paywall can never give you.

The SPA

frontend/ carries the Good Earth app (the taxsort-mcp pattern — one repo, React app inside). Sign-in, the proof envelope, and the Nostr profile panel are the fleet's existing modules, borrowed rather than rewritten. Patron state lives on Nostr as NIP-44-encrypted NIP-78 events under the goodearth/* namespace — no accounts, and the farm's data never lives on the operator's server.

Develop

uv venv --python python3.12          # coincurve has no 3.14 wheel
uv pip install -e ".[dev]"
ruff check .
pytest -v
python -m goodearth_mcp.server       # runs the validate_operator_tools guard

cd frontend && npm install && npm run build

License

Apache-2.0

A
license - permissive license
Not graded
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

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