Trellis (BlueCircle) is an AI-powered food system intelligence platform that forecasts block-level yield, crop quality, and harvest timing across the agricultural supply chain for food and beverage producers and their growers. An unofficial API lets you programmatically pull yield and quality forecasts, field and block measurements, harvest schedules, grower and supplier records, and supply-vs-demand insights—and push production plans, sourcing targets, and delivery data back into the platform.
Trellis (now branded BlueCircle, formerly ATP Labs) is an AI-powered food system intelligence platform that closes the gap between growers and food & beverage companies. It ingests field measurements, crop and weather observations, factory and warehouse deliveries, production plans, and financial data from across the agricultural ecosystem to forecast block-level yield, crop quality, and harvest timing. Food and beverage producers use it to optimize unit cost, eliminate waste, and balance supply against demand across an ever-changing climate and market environment.
Core platform areas include:
Common data entities:
Food and beverage operators run sourcing and production decisions on Trellis daily, but turning its forecasts and insights into API-driven automation is non-trivial:
Supergood reverse-engineers Trellis's authenticated browser flows and data deliveries to deliver a resilient API layer for your tenant—so you can pull forecasts and push sourcing and production data without waiting on a partner integration.
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Authentication
/authenticateAuthenticate to a Trellis (BlueCircle) tenant using username/password, or MFA, and obtain a session token for downstream calls.
Forecasts
/forecastsList yield, quality, and harvest-timing forecasts at block, appellation, and region level with crop and season filters.
Fields
/fieldsRetrieve fields, blocks, and appellations with their crops, geography, and field-measurement history.
Fields
/create_observationSubmit field measurements or crop/weather observations against a field or block to refine forecasts.
Growers
/growersPull grower and supplier records with sourcing targets, deliveries, and contract context.
Supply Chain
/supply_insightsRetrieve supply-vs-demand insights, outlier alerts, and risk signals across production plans and deliveries.
- Pull block- and appellation-level yield, quality, and harvest-timing forecasts into your planning warehouse - Compare predicted yields against historical averages to flag under- and over-supply early - Feed refreshed in-season forecasts to procurement and production scheduling tools
- Surface harvest schedule, order, and priority recommendations to operations teams - Trigger workflows when forecasts shift due to weather, disease, or field activity - Push field measurements and crop observations back to sharpen predictions
- Stream supply-vs-demand insights and outlier alerts into S&OP and demand-planning tools - Match grower deliveries against sourcing targets and production plans - Quantify cost and waste impact of supply shifts for finance and sustainability reporting
- Onboard grower and supplier records with fields, blocks, and contracts into a single view - Map block- and appellation-level data to your own field and sourcing hierarchy - Keep delivery and sourcing-target data in sync with downstream ERP and CRM systems
Authentication
Username/password and MFA (SMS, email, TOTP) handled in a managed session
Connectivity
Authenticated browser flows plus customer data deliveries surfaced as a unified API
Response format
Normalized JSON across forecasts, fields, blocks, growers, and supply-insight objects
Rate limits
Adaptive throttling tuned to your tenant to avoid platform-side limits
Session management
Automatic session refresh, MFA replay handling, and credential rotation
Data freshness
Near real-time pulls of in-season forecasts with optional scheduled batch syncs
Security
Encrypted credential vault, scoped access tokens, SOC 2-aligned controls, and audit logging
Webhooks
Event-style callbacks for forecast updates, outlier alerts, and delivery changes
Latency
Sub-second reads on cached forecasts and field records; multi-second writes when posting observations
Throughput
Horizontally scaled workers sized to multi-region, multi-grower data volume
Reliability
Retry, backoff, and idempotency keys for observation submissions and sourcing updates
Adaptation
Continuous monitoring of Trellis (BlueCircle) releases and tenant-specific configuration drift
Trellis delivers forecasts and insights primarily through its SaaS dashboard and customer-specific data deliveries, without a documented self-serve developer API. Supergood builds a resilient API layer over your authenticated tenant so you can pull and push data programmatically.
Trellis applies its forecasting across food and beverage verticals including wine, coffee, barley for beer, wheat for pasta, and fresh fruit for juice. Supergood adapts to your tenant's configured crops, regions, and customer-specific models rather than forcing a generic schema.
Yes. Block-, appellation-, and region-level yield, quality, and harvest-timing forecasts are exposed through the normalized API, mapped to your own field and sourcing hierarchy.
Forecasts shift as the season progresses, so Supergood pulls fresh predictions on near real-time or scheduled cadences rather than caching stale values, and can emit callbacks when forecasts or outlier alerts change.
Trellis already ingests field measurements, deliveries, production plans, and financial data from legacy systems. Supergood normalizes the resulting forecasts and entities into consistent objects so you integrate once across your upstream sources.