Staple AI vs TetherDust

Staple AI and TetherDust are both business 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.

Staple AI

Staple is a deterministic document extraction platform built for enterprises that need to produce an audit trail, not describe one. It extracts structured data from invoices, contracts, purchase orders, and claims — across languages and formats — and attaches a cryptographic signature to every field, linking each extracted value back to the source document, model version, and timestamp. The vendor states 99.6% extraction accuracy on multilingual documents and a 70% reduction in AP processing time. The ceiling appears when you need autonomous multi-step workflows: Staple does one-shot extraction and matching, not chained agent tasks. Teams that need downstream orchestration wire Staple's API output into a separate process layer.

TetherDust

TetherDust runs inside your infrastructure, connecting MCP servers to your codebase and database documentation so agents generate SQL that can be checked against the actual schema — not guessed. The core workflow chains natural language input through containerized agents that produce SQL, d3.js dashboards, and schema-to-code dependency maps, all inside strict read-only query boundaries. Scheduled reports ship by email or download without exposing write access. RBAC and audit logging are included for teams where data access needs a paper trail. The ceiling appears when you need write operations, or when your branching query logic outgrows what the agent layer can express without custom extensions.

Attribute	Staple AI	TetherDust
Pricing	Paid	Free
Price	$6,000/year	—
Free trial	No	No
Open source	No	Yes
Has API	Yes	Yes
Self-hosted option	No	Yes
Platforms	Cloud-based SaaS; web application with API access	Docker, self-hosted
Released	2018	—
Pros	Cryptographic field-level provenance for every extracted value, which means an auditor's question about a specific figure gets answered with a query, not a reconstruction exercise across inboxes. Deterministic extraction with versioned model releases, so re-running a document against the audit-period model version returns the identical output — something probabilistic generative tools cannot guarantee. Automatic document classification on mixed batches with zero template configuration, which means new document types get added without an engineering ticket and without a rules-maintenance backlog. Line-item matching across POs, invoices, delivery notes, and contracts with automatic discrepancy detection, so AP teams stop reconciling spreadsheets by hand before approving payment. Pre-certified compliance stack — SOC 2 Type II, ISO 27001, HIPAA, GDPR, Peppol — plus a dedicated China instance for data residency, which means a regulated enterprise does not rebuild the audit scope from scratch before going live.	Documentation-grounded SQL generation verifies queries against your actual schema before they run, so hallucinated column names and wrong table joins surface before they reach your database. Full self-hosting via Docker Compose with enforced read-only query boundaries, which means you can deploy on air-gapped or private infrastructure without sending query logic or schema details to an external service. RBAC and audit logging are included at the platform level, so every AI-generated query access is traceable — without this, teams typically bolt on audit layers after a compliance incident. Schema-to-code dependency mapping updates as schemas evolve, so developers can see the downstream code impact of a migration before it ships rather than debugging broken queries after the fact. Provider-agnostic multi-agent support through MCP servers, so swapping the underlying LLM is an infrastructure configuration change rather than a code rewrite.
Cons	Staple performs one-shot extraction and matching — it does not execute conditional workflows based on what the last step returned. Teams that need post-extraction branching (e.g., route invoice to approval queue A or B based on extracted vendor type and amount) build that logic in a separate orchestration layer, which means maintaining two systems from day one. No self-hosted deployment option exists — all processing runs in Staple's cloud (with a separate China instance as the sole regional exception). Organizations whose data residency policies prohibit any third-party cloud processing, including for interim document handling, cannot use Staple and move to on-premises extraction alternatives instead. The commitment structure the vendor describes requires multi-year contracts at the entry tier, which makes a short pilot-to-production path difficult to negotiate. Teams evaluating against a quarterly budget cycle or needing a month-to-month ramp-up period switch to per-page or consumption-based competitors before completing the procurement process.	Read-only query boundaries are enforced by design — any workflow requiring write-back operations, data mutations, or ETL pipelines hits a hard architectural wall, and teams with those requirements move to a database-native AI tool or build a parallel pipeline outside TetherDust. Dashboard output targets d3.js specifically, which means customizing visualizations beyond what the agent generates requires direct JavaScript work; teams expecting a drag-and-drop editor or chart type flexibility will find the output layer thin and reach for a dedicated BI tool instead. The repository has 4 stars and 9 commits at time of curation — community support, third-party integrations, and documented edge-case handling are sparse, so teams hitting undocumented failure modes are writing the answer themselves rather than finding it in a forum. Complex multi-step conditional query logic — branching based on what one agent returns before passing to the next — pushes past what the agent graph handles natively; teams building those workflows add a Python orchestration layer, and at that point they are maintaining TetherDust plus a second system they own entirely.

Bottom line

Staple AI is paid while TetherDust is free; TetherDust is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Staple AI and TetherDust?

Staple AI is Paid, while TetherDust is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Staple AI better than TetherDust?

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.