Bizgraph - AI Billing Software for Agencies | Recurring Revenue

What

Bizgraph is AI billing software for agencies, consultancies, software shops, and freelancers that manage AI services for clients. It combines LLM gateway routing with client usage tracking, pricing controls, and profit calculation so teams can bill for AI consumption without relying on spreadsheets or custom billing systems.

The product appears positioned as an agency-focused layer on top of multi-provider model access. Its core workflow is: connect provider API keys, create client accounts and keys, set pricing models or markups, monitor usage and spend in real time, and use that data to support recurring billing. Some billing features, including automated invoicing and parts of the client portal experience, are explicitly marked as coming soon.

Features

• Multi-provider LLM gateway: Routes requests to OpenAI, Anthropic, and Google through a unified interface, which can reduce provider-switching friction and preserve existing code paths.
• Centralized API key management: Lets teams generate, revoke, and monitor client keys from one dashboard, helping organize access across multiple customers.
• Real-time usage and spend monitoring: Tracks usage as it happens so agencies can see client consumption, costs, and profitability without manual reconciliation.
• Flexible client pricing models: Supports percentage markup, fixed fee, and fixed price billing models, allowing agencies to match pricing structure to contract type.
• Budget and rate controls: Applies hard limits, alert thresholds, and access controls at org, client, or key level to reduce overspend risk.
• Usage analytics and exports: Provides charts and usage insights for cost analysis; the page also states analytics are exportable.

Helpful Tips

• Verify current vs. roadmap functionality: Automated invoicing, Stripe Connect, white-label portals, multi-user access, and some branding features are described as coming soon, so buyers should separate live needs from planned capabilities.
• Choose pricing model based on service maturity: Percentage markup fits variable usage, fixed fee improves transparency, and fixed price can simplify budgeting but requires tighter cap management.
• Plan provider governance early: If multiple clients will use different model vendors, define budgets, rate limits, and key ownership up front to avoid billing disputes later.
• Assess portal requirements carefully: If end clients need direct visibility into spend, confirm which self-serve and white-label portal features are currently available versus announced.
• Review gateway dependency implications: Because the product sits in the request path for tracking and routing, teams should evaluate operational fit, especially if they have strict latency, reliability, or architecture requirements.

OpenClaw Skills

Bizgraph could be a strong operating data source for OpenClaw workflows focused on agency finance, AI operations, and client service delivery. Likely use cases include agents that summarize weekly AI spend by client, detect budget anomalies, recommend pricing changes based on margin compression, or prepare draft invoice narratives from usage data. The site does not state a native OpenClaw integration, so this should be treated as a likely workflow design rather than a confirmed connection.

Within the OpenClaw ecosystem, teams could build skills for account managers, finance leads, and AI delivery teams: margin-monitoring agents, customer budget alert agents, provider-routing optimization assistants, and renewal-readiness briefs based on usage growth. For agencies, this combination could shift AI billing from a back-office task into a more proactive revenue operations system, where spend data informs packaging, client communication, and service expansion.