AgentReady vs TokenBoard

AgentReady and TokenBoard are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

AgentReady

The tool indexes public websites — including JS-rendered pages — and exposes the content through a single MCP server your agent connects to once, then queries across 114+ pre-indexed sites or any site you add on the fly. Four MCP tools cover the full workflow: ask a site a question, list what's indexed, submit a new URL, or force a re-crawl. Setup is a one-line MCP config and no API key. The wall you hit is scope: only public sites can be indexed, private documentation behind authentication is out of reach, and the 'Actionable' layer — agents triggering real site actions — is listed as coming later, not live.

TokenBoard

TokenBoard aggregates spend across OpenAI, Anthropic, Google, Azure, Mistral, and others into a single EUR-denominated dashboard, with per-provider budget limits and email alerts that fire at 80% before the ceiling hits. The EU AI Act audit log — a WORM-format, tamper-proof record of every AI request — is a paid-only feature, so teams evaluating for compliance use cases will hit that wall during the free tier. Team-level cost breakdowns and CSV/XLSX export cover internal chargebacks without developer time. The free tier caps at two providers and 1,000 requests per month, which covers evaluation but not a team running production workloads across multiple providers.

Attribute	AgentReady	TokenBoard
Pricing	Paid	Paid
Price	—	€0–€99 / month
Free trial	No	No
Open source	Yes	No
Has API	Yes	Yes
Self-hosted option	No	No
Platforms	Web, CLI, MCP clients	Web dashboard
Pros	JS-rendered pages are indexed correctly, so agents get actual content from documentation sites that `web_fetch` returns blank on — no custom rendering pipeline required on your end. 114+ sites are pre-indexed and accessible through one MCP connection, which means your agent queries Stripe or Next.js docs with cited answers without you building or maintaining any crawl infrastructure. New sites are added in roughly 60 seconds via `submit_site` or the CLI, so when a dependency's docs aren't in the index yet you're not blocked waiting on a support queue. No API key or account is required to run a query or grade a site, so evaluation takes minutes rather than a procurement cycle — which matters when you're vetting this mid-sprint. Generates a spec-compliant `llms.txt` automatically from a URL paste, so site owners who want their content discoverable by agents don't need to understand the spec or involve a developer.	Automatic EUR conversion across all connected providers, so finance gets a single currency view without manual reconciliation every month. Email alerts at 80% of budget limits, which means overage surprises stop happening before the invoice arrives rather than after. WORM audit log meeting EU AI Act Articles 13 and 17, so compliance documentation exists as a byproduct of normal operation rather than a separate reporting project. Team- and project-level cost breakdowns with one-click CSV/XLSX export, so internal chargebacks don't require a custom data pipeline. REST API following OpenAPI 3.1, so usage data feeds into existing BI tools or ERP systems without a proprietary lock-in on the reporting layer.
Cons	Only public websites can be indexed — any documentation behind authentication, a VPN, or a private network is out of scope entirely. Teams whose critical docs live in a private Confluence instance or behind SSO have no path forward here and route to a self-hosted RAG stack instead. The 'Actionable' layer — agents triggering real site actions like search or transactions — is listed as a future capability, not a shipped feature. Teams building agents that need to do something on a site rather than just read it are building that integration themselves or evaluating tools that already ship it. Higher limits, private indexing, and custom deployments are listed as contact-us territory with no published self-serve path. Teams that hit index limits or need dedicated infrastructure mid-project face a sales conversation at the point when they least have time for one. There is no self-hosted option. Teams in environments where data cannot leave their infrastructure — regulated industries, enterprise security requirements — cannot use this service regardless of use case fit.	The free tier caps at two AI providers and 1,000 requests per month — a team running even a modest production workload across three providers hits this ceiling immediately and must decide on a paid plan before validation is complete. The EU AI Act audit log is a paid-only feature, so teams evaluating compliance fitness on the free tier cannot test the exact capability that differentiates this tool from a generic cost dashboard. SAP and DATEV integration is gated behind the highest paid tier, meaning mid-market companies that need ERP-level cost reconciliation cannot access that integration until committing to the top plan — teams with an existing ERP integration requirement will likely evaluate enterprise-grade FinOps platforms instead. There is no self-hosted option outside of the highest paid tier's 'On-Premise Option,' so teams with strict data residency requirements beyond German cloud hosting cannot run TokenBoard in their own infrastructure on lower plans.

Bottom line

AgentReady is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between AgentReady and TokenBoard?

AgentReady is Paid and open source, while TokenBoard is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is AgentReady better than TokenBoard?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.