konnect-monetization

name	konnect-monetization
description	Model and validate Konnect usage-based billing across meters, features, plans, rate cards, and invoices. Use when turning a pricing model into billing entities or checking allowance and overage math. Not for AI Gateway cost analytics or API Catalog packaging.
license	MIT
metadata	{"product":"konnect","category":"monetization","tags":["kong","konnect","billing","metering","pricing"]}

Konnect monetization workflow

Goal

Turn a stated pricing model into a correct Konnect billing catalog — meters, features, plans, rate cards — and prove the money is right before a customer is billed against it.

Own the modeling decision and the validation loop. A pricing model is almost always under-determined: it names prices and allowances and stays silent on what one billable unit is, what happens past the allowance, and whether the base fee survives zero usage. Resolve those silences with the user, not alone.

Do not absorb AI Gateway request-flow work, API Catalog packaging, or operator access troubleshooting beyond clear handoffs.

Tool Selection

• Use the shared kong-konnect MCP server first for live inspection of existing meters, features, plans, subscriptions, and customer charges. It covers the whole billing lifecycle, event ingestion and invoicing included, so search its own tool index by name before concluding a step is impossible.
• Absent mcp__kong-konnect__* tools mean the environment carries no KONNECT_TOKEN, not a broken server: the header is unresolved, so the server is dropped silently rather than failing loudly. Treat it as a credential symptom.
• Take the billing REST base path from references/access-and-endpoints.md. It is the one fact here that cannot be recovered by looking.
• Billing entities are not reliably covered by the declarative toolchains. Before promising a terraform-konnect or kongctl-declarative path, confirm the provider or CLI actually models these resources; otherwise keep changes on the billing API and say so plainly.

References To Load

Load only the reference that matches the active branch:

• references/access-and-endpoints.md
  • Load first, whenever anything will be read from or written to a live org. Carries the credential bootstrap, the billing REST base path, and the MCP tool inventory.
• references/pricing-model-questions.md
  • Load before creating anything, whenever the pricing model involves an included allowance, an overage, a "custom" tier, a bundle, seats, credits, or a trial. Carries the modeling options to offer the user.
• references/catalog-entity-mechanics.md
  • Load when creating or changing meters, features, plans, or rate cards. Carries entity order, price-type semantics, and entitlement templates.
• references/usage-proof-and-invoicing.md
  • Load when seeding usage to validate a catalog, or when explaining why an invoice or charge shows the amount it does.

Workflow

1. Confirm access and read what already exists

Establish which org you can write to before modeling anything. It is one call, and it decides whether this session ends in a published catalog or in a mapping the user has to build later.

Then list the meters, features and plans that are already there. Key collisions and near-duplicate features are the most common avoidable mistake, and an org that already carries a catalog usually needs a namespace prefix rather than the obvious names. Name the org back to the user before the first write.

Load references/access-and-endpoints.md for the credential bootstrap and the endpoints.

2. Establish the pricing model as a table before modeling it

Reduce the source — a page, a deal sheet, a competitor's tiers — to one table: per tier, the price and cadence, every included allowance with its unit, every overage rate, and every feature bullet.

When the source is a published pricing page, extract the tier table from the raw HTML yourself. Summarizers routinely mangle these pages: tabbed tier groups collapse into one another, tiers go missing, and numbers migrate between tabs. Pricing pages are usually tabbed with a full tier set per product line, and DOM order rarely matches tab order — identify each group by its own content, not its position.

A wrong number here reaches a published plan and bills a real customer. Confirm the tier count against what the source actually renders.

3. Define what one billable unit is

Before any entity exists, settle for each metered thing: which event marks it, what bounds it, and what makes it idempotent. "A conversation" or "a request" is not yet meterable.

Decide this jointly with the user when the source does not say. It determines the meter's aggregation and dimensions, and it is expensive to change once events are flowing.

4. Resolve the silences with the user

Load references/pricing-model-questions.md and walk the model against it. For each under-determined point, offer two or three concrete modelings with their billing consequences, name your recommended default, and ask.

Batch the questions into one round so answering is confirmation rather than research. Record anything the user does not settle as an explicit stated assumption — never as a silent choice.

5. Present the mapping, then wait

Before writing: the meter list, the feature list, one plan's full definition, a tier-to-rate-card table for the rest, the assumptions carried, and what you are deliberately not creating. Get approval.

Plans are versioned and publishing is a commitment. A wrong catalog is retired by archiving versions, not by editing them in place.

6. Create in dependency order, then publish

Meters, then features, then plans, then publish. Resolve ids by key at each step instead of hardcoding them, so a partial run can be repeated safely.

Load references/catalog-entity-mechanics.md for the entity contracts and the price-type semantics that decide what actually gets charged.

7. Prove the money with seeded usage

A catalog that creates cleanly can still bill wrong. Subscribe a mock customer, seed a scenario whose arithmetic you can do by hand, and make the engine agree.

Choose volumes that cross an allowance boundary and include usage that is supposed to be excluded, so one number tests both the tiering and the filter.

Load references/usage-proof-and-invoicing.md for the seeding sequence and for reading charges and invoices correctly.

8. Report the arithmetic, not a success list

State which plan, what usage, which tier it landed in, what the engine computed, and what will be billed when. Restate every assumption from step 4 that is still load-bearing.

Konnect-Specific Gotchas

• Konnect billing is OpenMeter underneath. Its entity model is meters → features → plans → subscriptions, and each layer references the one below by id, so creation order is forced.
• A meter's aggregation fixes what value_property has to be. count ignores it; sum, avg, min and max need one resolving to a number; unique_count needs one resolving to a string. Decide it together with the aggregation — the wrong pairing is rejected at create time.
• A price with tiers has two very different meanings. Graduated charges each tier's rate only on usage inside that tier; volume reprices every unit at the reached tier's rate. Picking volume where graduated was meant silently overcharges every customer who crosses an allowance.
• A recurring base fee belongs on its own flat rate card. Attached to a usage tier instead, it can disappear at zero usage.
• An allowance lives in two places at once: the entitlement limit the application reads, and the tier boundary the invoice is priced from. They must agree, and nothing enforces that they do.
• Excluding usage from billing is a feature-level filter over a dimension of the meter, not a separate meter. Filtering at ingest also works but destroys the raw total permanently.
• Usage-based charges show no amount until the period closes; the live figure is a separate real-time view. An in-arrears charge is correctly absent from today's invoice.
• Mid-period subscription starts prorate the in-advance fee. Expect a fraction of the sticker price and verify the fraction, not the sticker.

Validation Checklist

Before answering, verify that you can state:

• which org this was written to, and that no key collides with an entity that was already in it
• what one billable unit is for every metered feature
• which pricing silences the user resolved, and which remain as stated assumptions
• that every tier in the source table has a corresponding published plan
• that every feature bullet maps to a named feature rather than prose
• that each allowance boundary is expressed consistently in the entitlement and in the price tiers
• that a seeded scenario crossing an allowance matches hand arithmetic
• that excluded usage is absent from the billable quantity while still present in the raw meter
• which figures are live estimates and which are booked
• what will be invoiced, and at which period boundary

Handoffs

• Use konnect-ai-gateway when the real subject is AI Gateway request flow, provider routing, or LLM analytics rather than billing the usage it produces.
• Use konnect-api-catalog or konnect-api-publish when the user is packaging or publishing an API rather than pricing its consumption.
• Use konnect-access-scope when the blocker is token, role, org, or region access rather than the billing model.
• Use konnect-platform-router when the request spans several Konnect surfaces and the owner is unclear.