Layerise

Layerise is a product registration and post-sale customer experience platform. Agents query its GraphQL Organisation API to read registered products and customers and to push data into the post-purchase journey.

3 actions API key available

Layerise website Platform Documentation Capability data verified 2026-08-26

A scheduled post-sale sync starts for the Layerise workspace

Run Introspection Query returns the schema this workspace actually serves

Run GraphQL Query reads registered products and their owners for the period

The flow reads the response's errors array before treating any payload as an answer

Each registration is matched against the warranty and support records held elsewhere

Serial numbers with no matching record are posted to the post-sale owner

Any query that writes back is approved as written before it is sent

What This Integration Enables

Layerise is a post-sale platform, which means it owns the part of the customer relationship that most commerce tooling never sees: the moment an anonymous buyer registers a product and becomes a known owner with a serial number, a purchase date, and a warranty. That record is worth very little sitting inside Layerise and quite a lot everywhere else, which is what this integration is for.

The Layerise Organisation API is GraphQL, and the vendor publishes no schema, no operation list, and no field names outside its own admin application. FlowRunner does not paper over that. Rather than shipping invented operation names that pass review and fail at run time, this connector ships a correctly authenticated GraphQL client and a schema reader. Run Introspection Query once, read what your workspace actually serves, and write your queries against that. The honesty is the feature: a flow built on a real introspection result keeps working, and a flow built on a guessed field name does not.

Without FlowRunner

Registration data sits still Owners register a product and nobody downstream ever reads the record

Support works without ownership An agent handling a warranty question cannot see whether the unit was ever registered

Schema knowledge lives in one head The person who wrote the last query is the only one who knows the field names

With FlowRunner

Registrations reach the systems that need them Owner and product records move into the helpdesk and the CRM on a schedule

Warranty context arrives with the ticket Support opens a case already knowing what was registered and when

The schema is read, not remembered Introspection runs first, so the flow is built against the fields the account serves today

Use Case Scenarios

Registrations become support context

On a schedule, the agent runs an introspection pass so it is working from the current schema, then queries registered products and their owners for the period since the last run. Each row lands in a sheet through Google Sheets that the support team already works from, keyed on serial number. When a warranty question arrives later, the agent that handles it has an ownership record to check rather than a shrug. The registration stops being a marketing statistic and starts being operational data.
The unregistered unit report

Sales records say a batch of units shipped to a retailer in March. Layerise says a fraction of them were ever registered. The agent queries the registrations for the batch's serial range, compares them against the shipment record, and posts the gap to the post-sale owner in Slack with the retailer and the count. Nothing about that is a hard query. What makes it useful is that it runs every week without anyone remembering to run it.
A schema that changed under the flow

Layerise versions its schema, and the vendor's own capability list names deprecated variants alongside current ones. So a maintenance flow runs Run Introspection Query on a schedule and diffs the result against the shape the working queries assume. When a field the flow depends on is renamed or deprecated, the agent reports it with both spellings and stops, rather than shipping empty results into a report that a human then reads as "no registrations this month."

Human-in-Loop Highlight

This connector's action surface is three operations, and one of them will run anything. Run GraphQL Query sends whatever document you hand it, and because Layerise publishes no schema, nothing in the connector can tell you whether that document reads registrations or rewrites them. GraphQL makes this worse rather than better: a rejected call comes back as HTTP 200 with a null payload and an errors array, so a careless flow reads a failed write as an empty result. So the reviewable unit here is the statement, not the record. When an agent proposes a document that carries a mutation against owner or registration data, it stops and posts the document itself: "This query writes to registration records for 214 owners. Introspection reports the mutation as updateProductRegistration. Send it, or amend it?" The customer experience owner reads the actual text that will be sent. On an API with a published schema you can gate the record. Here, the only thing worth gating is the query.

Agent processes routinely

Detects exception requiring judgment

Clear match Continues automatically

Ambiguous Routes to human via preferred channel

Human decides

Agent resumes with decision

Agent Capabilities

3 actions

GraphQL Access

Run GraphQL Query Sends a GraphQL document to the Layerise Organisation API and returns the result. This is the operation every real read and write goes through, and it reads the response's errors array first so a failure never reaches a flow disguised as an empty result.
Run Introspection Query Returns the schema the connected workspace actually serves, including types, fields, and arguments. Run this before writing anything, because it is the only complete description of the API that exists outside the vendor's admin application.
Test Connection Runs a minimal query that reads no data and confirms the workspace secret is accepted. Used as a health check and to tell a rejected secret apart from a secret that never arrived.

Frequently Asked Questions

What can FlowRunner do with Layerise?

FlowRunner agents can run Run GraphQL Query, Run Introspection Query, and Test Connection in Layerise.

Does connecting Layerise to FlowRunner require OAuth?

No. Layerise connects to FlowRunner with an API key, no OAuth flow required.

Can Layerise trigger a FlowRunner workflow automatically?

Layerise doesn't currently expose triggers in FlowRunner. It connects as an action step inside workflows started by another trigger.

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