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Supermemory billing is usage-based USD credits. Plans include a monthly credit balance; metered product usage draws that balance down. You manage plan, invoices, top-ups, and auto top-up in the Developer Console. List prices and the public rate card also live on supermemory.ai/pricing. This page is the contract-level model: what we meter, when tokens are free (already seen), what an operation is, plan feature gates, and how to read usage programmatically.
Console charts are estimates. Invoice / customer-portal line items are authoritative.

Mental model

  1. You hold a USD credit balance (usd_credits).
  2. Product activity increments meters (tokens, queries, operations).
  3. Each meter unit multiplies by a USD-per-unit rate and debits the balance.
  4. Re-ingesting the same document under the same customId only bills the net-new token delta — already-seen content is effectively fully discounted.

Meters (what we count)

List rates (USD)

These match the console meter table (USD per unit; ×1000 ≈ price per 1K units): Rates can change; treat pricing + your invoice as source of truth.

Memory vs SuperRAG tokens

Ingestion is attributed by task type:
  • Memory (taskType: "memory") → sm_tokens_text / sm_tokens_rich
  • SuperRAG (taskType: "superrag") → sm_superrag_text / sm_superrag_rich
Text-like document types bill on the text meters; everything else bills as rich (OCR, video/audio, heavy extractors).

What is an operation?

sm_operations is the meter for discrete platform work that is not “how many tokens did we embed.” Examples include:
  • dreaming: "instant" — processes a document’s memory extraction immediately (does not wait for dynamic batch dreaming). Documented as one extra operation per document on top of normal token metering. See Processing modes.
  • Other non-token platform actions the product attributes to the operations meter (console: “counted platform operations not attributed to token or search meters”).
Search is primarily metered as sm_search_queries (one unit per gated search/profile request). Prefer thinking of operations as extra platform work, not as a synonym for “API call.”

Search and profile

If the org is out of balance, search/profile can return 402 (payment required) depending on gate configuration.

Full discount on already-seen tokens (diff billing)

This is the most important cost control in production agents.

How it works

When you re-add content under the same customId (same org / document identity), the pipeline:
  1. Loads the previous extracted content for that document
  2. Computes full token count of the merged/updated document
  3. Bills only:
So tokens Supermemory has already processed are not billed again. Unchanged content is a full discount on the token meters. Only the net-new delta (and any new rich extraction on that delta) draws credits. This is why long-lived agent loops stay cheap: re-sync the same conversation customId, re-upload the same policy doc, or connector re-sync with stable IDs — you pay for new material, not the whole history every time.

Requirements

Practical patterns

Connectors already use stable IDs (e.g. Drive file id, Gmail thread id, s3://bucket/key) so re-syncs diff-bill automatically.

What is not free

  • First ingest of content still bills full token count
  • Search / profile still bill query meters every call
  • Instant dreaming still bills the operation surcharge when used
  • Brand-new customId = brand-new document = full tokens

Credits and balance behavior

Plan credit inclusion (approximate)

Legacy product IDs (memory_free, memory_starter, memory_growth, memory_enterprise) still resolve for existing customers.

Plans and feature access

Usage meters are shared; feature gates differ by tier.

Plan summary

Feature availability

Coding plugins are available on every plan, including Free. Their API usage still consumes your plan’s credits at the applicable rates. Overrides can be applied per org in metadata (featureOverrides) for enterprise deals.

HTTP behavior when gated

  • 403 — plan too low for a feature (e.g. connector not on Free)
  • 402quota / credits exhausted for a metered call (search, tokens, etc.)

Programmatic access

All of the following require an org-admin capable credential. Scoped API keys cannot read billing (403). Base: https://api.supermemory.ai
Auth: Authorization: Bearer YOUR_API_KEY

Summary — plan + high-level usage

GET /v3/auth/billing
Typical fields:
CLI:

Feature breakdown (Autumn features)

GET /v3/auth/billing/usage Returns per-feature used / limit / unit for the org’s Autumn customer features (including usd_credits, token meters, search, operations), plus period bounds when available.

Meter events (day × feature)

GET /v3/auth/billing/usage-events Optional query: ?start=<ISO>&end=<ISO> to override the billing period.
Response includes byFeature, byDay, memoryTotal, superragTotal, period start/end.

Auto top-up config

Invoices

GET /v3/auth/billing/invoices

Product / request analytics (not the same as USD meters)

For request volume, errors, and per-key traffic (ops monitoring, not USD ledger): GET /v3/analytics/usage?period=24h|7d|30d See Analytics.

TypeScript sketch


Cost control checklist (production)

  1. Always set stable customId on conversations and docs so re-sync is free on old tokens.
  2. Prefer session-level conversation documents over one-line micro-adds (better memory and less wasted processing).
  3. Use dreaming: "instant" only when you need immediate memory (extra operation); default "dynamic" batches extraction.
  4. Cache profiles short-TTL in your app if you call them every turn.
  5. Scope with containerTag so you can delete/export a tenant without scanning the org.
  6. Configure auto top-up purchase limits on paid plans and monitor usage separately. These limits do not cap the entire invoice.
  7. Pull /v3/auth/billing/usage-events into your own FinOps dashboard for per-day Memory vs SuperRAG spend.