--- title: "Leafy Plant Integration" description: "Identify plants from a photo and look up horticultural care data with the Leafy Plant API. Search 40,000-plus species and fetch watering, light, soil, and temperature guidance." url: https://flowrunner.ai/integrations/leafy-plant date_modified: 2026-08-07T17:20:23-07:00 --- # Leafy Plant [AI](https://flowrunner.ai/integrations/category/ai-llms) Identify plants from a photo and look up horticultural care data with the Leafy Plant API. Search 40,000-plus species and fetch watering, light, soil, and temperature guidance. [Verified](https://flowrunner.ai/integrations/verified "What does verified mean?") · 4 actions · API key · available [Leafy Plant website](https://leafyplant.app/) · [Platform Documentation](https://leafyplant.app/developers) · Capability data verified 2026-06-19 1. Customer submits a photo of a plant to identify 2. Agent sends the photo to Identify Plant 3. Agent reads the top species matches and confidence 4. Agent fetches the care guide for the matched species 5. Customer gets the identification and care plan 6. A low-confidence or toxic-species match routes to a horticulturist to confirm ## What This Integration Enables Leafy Plant turns a plant photo into structured knowledge. Identification returns candidate species with confidence, species search covers a very large catalog, and the care lookup returns the specifics a plant owner needs: how much water, how much light, what soil, what temperature range. For a plant business, that automates the most common inbound question. The catch is that plant-care advice has real stakes when a species is toxic to pets or the identification is uncertain. An orchestration layer returns the confident, low-stakes answers directly and routes the risky ones to an expert, and FlowRunner is built for that layer. ### Without FlowRunner **Identification by expert**: Every photo waits on a staff member who knows plants **Care info looked up by hand**: Someone searches for watering and light needs per plant **No record of requests**: Identification questions handled ad hoc and forgotten ### With FlowRunner **Photo-based identification**: The model names the species from the image **Care plan attached**: Watering, light, soil, and temperature returned automatically **Requests captured**: Every identification logged as a structured record ## Use Case Scenarios ### Customer Plant Identification A customer submits a photo asking what their plant is and how to care for it. The agent identifies the species, reads the confidence, and fetches the matching care guide. Confident identifications return the species and a care plan directly. The most common inbound question is answered in seconds instead of waiting on a staff member. ### Care Reminder Setup A plant-care app wants to schedule reminders tailored to each plant. The agent identifies the plant, pulls its watering and light needs, and configures a reminder schedule from the care data. The schedule is built from horticultural data rather than a generic default, and every plant gets appropriate care timing. ### Inventory Enrichment A garden retailer needs care information attached to each product. The agent matches each item to its species, pulls the care guide, and enriches the product record. Listings carry accurate care details without a person researching each one, and a horticulturist reviews anything the match flagged as uncertain. ## Human-in-Loop Highlight Plant-care advice sounds harmless until the species is toxic to pets or the identification is a guess. When Leafy Plant returns a low-confidence match, or identifies a species flagged as toxic, FlowRunner routes it through a [human-in-the-loop](https://flowrunner.ai/concepts/human-in-the-loop) step before advice reaches the customer: the agent pauses, presents the photo and the candidate matches, and sends it to a horticulturist via Slack. They confirm the species. The routine identifications answer themselves; a person checks the ones a customer would act on with consequences. Agent processes routinely Detects exception requiring judgment Clear match Continues automatically Ambiguous Routes to human via Slack Human decides Agent resumes with decision ## Agent Capabilities 4 actions ### Identification 2 - **Identify Plant** Identifies a plant from a publicly accessible image URL. Returns ranked candidate species with scientific and common names, a confidence label, and a description of what was seen. - **Search Plants** Searches the Leafy plant database by common or scientific name. Returns a list of matching plants with their family, genus, slug, and care/toxicity availability flags. ### Care 2 - **Get Care Guide** Returns a care guide for a plant species, including watering, light, soil, and temperature guidance. - **Get Toxicity** Returns plant toxicity information for humans and pets. Provide a plant species and optionally an animal to check (e.g. cat, dog, horse). ## Frequently Asked Questions ### What can FlowRunner do with Leafy Plant? FlowRunner agents can run Identify Plant, Get Care Guide, and Search Plants in Leafy Plant, plus 1 more action. ### Does connecting Leafy Plant to FlowRunner require OAuth? No. Leafy Plant connects to FlowRunner with an API key, no OAuth flow required. ### Can Leafy Plant trigger a FlowRunner workflow automatically? Leafy Plant doesn't currently expose triggers in FlowRunner. It connects as an action step inside workflows started by another trigger. **Work at Leafy Plant?** This integration exposes Leafy Plant to AI agents on every FlowRunner plan, including through MCP, at no cost to you. [See what FlowRunner offers integration partners](https://flowrunner.ai/integrations/partners), including how to keep this page current. --- Markdown version of https://flowrunner.ai/integrations/leafy-plant. Site index: https://flowrunner.ai/llms.txt