Snapshot
Continue to About ↓- What it does
- Paid is a monetization platform for companies selling AI agents and agentic software.
More detail
- It meters agent events such as model runs, tool calls and resolved cases, turns them into billable units, applies usage- or outcome-based pricing, and generates invoices with payments, tax and dunning.
- It also produces value receipts and invoice-to-event lineage so customers can see what each charge was based on.
- Best for
- B2B SaaS and AI-native teams selling AI agents or copilots who want to charge per outcome or unit of work instead of per seat, and who need auditable invoice-to-event evidence for finance and procurement reviews.
- Pricing
- Two subscription tiers are displayed on the site: PRO at $29.99/month with 5M events per month and a 99% uptime SLA, and PREMIUM at $79.99/month with 30M events per month, a 99.9% uptime SLA, Value Studio, higher usage limits and custom increments.
More detail
- Enterprise arrangements go through sales.
- The MSA s
- Main limitation
- Pre-revenue companies or conventional seat-priced SaaS with simple subscription billing, where a metering and pricing engine is likely overkill.
More detail
- Also a poor fit for individuals or self-serve buyers wanting a fully public price sheet and cancellable, refundable terms, since the MSA states fees are non-cancellable and non-refundable.
- Record
- Living and monitored
- Reviewed
- Evidence
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- Structured profile ↗
About
- Paid is a monetization platform for companies selling AI agents and agentic software.
- It meters agent events such as model runs, tool calls and resolved cases, turns them into billable units, applies usage- or outcome-based pricing, and generates invoices with payments, tax and dunning.
- It also produces value receipts and invoice-to-event lineage so customers can see what each charge was based on.
What it helps with
- Seat- and access-based pricing does not match how AI agents deliver work, so revenue is left uncaptured on agent output.
- Pricing model changes get stuck in engineering backlogs when pricing is hard-coded.
- Global invoicing, tax, dunning and collections complexity for usage- and outcome-based charges.
- Customers dispute AI bills they cannot trace, forcing manual reconciliation and slowing expansion.
- Margin on agent delivery is hard to see without linking cost signals to delivered value.
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Event metering | Yes | Ingests agent signals such as model runs, tool calls, execution windows, tokens, documents parsed and active seats, classifying them as effort, output or outcome with historic auditability. |
| Configurable pricing models | Yes | Rates, tiers, bundles, minimums, overages, prepaid credits and promotions configured without code, plus a pricing studio with what-if analysis on historical usage. |
| Credits and wallets | Yes | Credit wallets with a real-time ledger and grants scoped to a cohort, endpoint, customer or team. |
| Billing and invoicing | Yes | Usage-metered invoices with line-item proration, adjustments and credits, plus dunning and AR aging. |
| Payments | Yes | Cards, ACH, SEPA and bank transfer with hosted checkout and payment links; underlying processing fees are not disclosed. |
| Tax and compliance | Yes | Tax calculated and posted on invoices with nexus and registration management; scope by country is not detailed on the pages reviewed. |
| Value receipts and data lineage | Yes | Maps outputs to customer-understood value and ties each invoice line back to the raw signal, with one-click reconciliation reports. |
| Corrections with history | Yes | Adjustments and re-runs keep full history rather than overwriting prior charges. |
| Existing stack handoff | Yes | Full API, webhooks including an invoice-posted hook, and Xero sync for pushing finalized invoices into an existing ERP or billing stack. |
| Transparent public price list | Limited | Two tiers are displayed, but most flows go to sales and the MSA specifies non-cancellable, non-refundable subscription fees. |
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Evidence
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- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- paid.ai
Technical profile details
Record ID
776a941e-72b6-4394-aa5f-75eba98510b7Canonical URLhttps://profiles.scribble.network/listing/paid-776a941e