Real enterprise software right inside your chat. Not raw text.
Render sortable data grids, live KPI summary meters, and human-in-the-loop write confirmation cards directly inside Claude, ChatGPT, and enterprise MCP clients. Protect your AI context window with client-side sandboxed iframes while keeping confidential ERP records out of model training memory.
• No SAP configuration required, instant MCP URL from your existing SAP
$248,500
At Risk
37 Invoices
Payment Block
52 Days
Avg Overdue
| Customer Account | Overdue Balance | Risk Class | Governance Gate |
|---|---|---|---|
| Northwind Traders | $92,400 | Class A (Critical) | |
| Acme Industrial Corp | $61,800 | Class B (Medium) | Staged for Review |
| Globex Supply Co. | $48,150 | Class A (Critical) | Staged for Review |
Zero token bloat. Zero context poisoning.
Enterprise ERP tables contain hundreds of multi-column records. Feeding them to LLMs burns thousands of prompt tokens and leaks corporate schemas into chat logs. DataTether contains data at the client perimeter.
- ✕Context exhaustion: 100 rows burns 8,400+ prompt tokens, incurring steep API bills and triggering 429 rate limit errors.
- ✕Prompt leakage: Confidential supplier pricing, internal accounts, and customer balances are retained in AI model transcripts.
- ✕Unusable output: Dense wall of unformatted JSON that requires constant "Can you reformat that as a table?" prompting.
DUMPED RAW INTO LLM COMPLETION PROMPT
{
"d": {
"results": [
{ "VBLEN": "00900142", "NETWR": 92400.00, "WAERK": "EUR", "IBAN": "DE893704... [UNMASKED_PII]" },
{ "VBLEN": "00900143", "NETWR": 61800.00, "WAERK": "EUR", "IBAN": "FR763000... [UNMASKED_PII]" },
... 98 more raw records consuming 8,400 tokens ...
]
}
}- ✓99% Token reduction: The LLM receives only a 24-token metadata pointer; data streams directly into the sandboxed host iframe.
- ✓Zero transcript memory: Confidential records render client-side in an isolated container, shielded from model training memory.
- ✓Interactive UX: Immediate sortable columns, filterable rows, and built-in human confirmation buttons for safe writes.
LLM COMPLETION PROMPT CONTEXT (LIGHTWEIGHT)
{
"status": "RENDERED_CLIENT_IFRAME",
"app_id": "com.datatether.overdue-invoices-view",
"record_count": 100,
"tokens_consumed": 24,
"security_mode": "SANDBOX_ISOLATED"
}Every UI component your team needs for in-chat enterprise work.
Mix and match pre-built enterprise components that pull live OData records into Claude and ChatGPT. Every component renders client-side with native sort, filter, and hierarchical drill-down.
Hierarchical Data Grid
Sortable, filterable rows of live ERP records with nested parent-child expansion (VBAK header to VBAP items) and subpixel-stabilized separate borders.
KPI Summary & Metric Meters
High-visibility operational numbers with directional trend deltas (working capital at risk, open blocks, DSO) delivered front-and-center.
Working Cap
Sync Rate
Trend & Breakdown Charts
Bar, sparkline, and category visualizers translating numerical ERP aggregates into immediate operational signals for decision makers.
Entity 360 Inspection Drawer
Drill down into a single customer, vendor, or material line without polluting LLM context memory or leaving the conversation.
Multi-Tab Operational Layouts
Group multiple related ERP entities into one tabbed interface so end-to-end business decisions happen in a single glance.
Doc Type: Standard PO (NB)
Human Write Confirmation Card
In-place approval modal staging atomic $batch changesets with color-coded diffs, 15-minute expiration windows, and signed click triggers.
No frontend sprint needed. Drag, connect, and ship.
Business analysts and ERP leads assemble governed views without waiting months for frontend developer availability.
Drag widgets onto canvas
Place sortable data tables, KPI summary cards, and breakdown charts onto the visual builder canvas.
Bind to live ERP entities
Connect widgets directly to discovered OData entities and RFC services with zero ABAP development.
Compile MCP app bundle
DataTether automatically compiles the layout into a sandboxed, standalone client app bundle.
Ask in chat, view interactively
Claude, ChatGPT, or custom agents render the interactive UI directly inside the conversational transcript.
The Engineering Shortcut: Building an in-chat ERP UI from scratch requires months of bespoke React code, sandboxing protocols, and CSRF token bridges. With DataTether, business analysts assemble live views via a drag-and-drop canvas and publish in under 10 minutes.
Reading raw JSON versus seeing the live business.
The presentation of an enterprise answer determines whether an operator takes immediate action or delays decisions to manual double-checking.
How client-side sandboxing actually works.
Common questions from enterprise security leads and architects evaluating sandboxed Model Context Protocol UI runtimes.
Request Guided AccessThe governed engine underneath every interactive view.
Auto-Discovery & Capabilities
See how raw OData EDMX translates into governed MCP tools and Zod schemas in minutes.
02 Business ProcessMulti-Step Workflows
Chain ERP reads, policy branches, human approvals, and atomic writes into a single tool.
03 Enterprise DefenseSecurity & SOX Compliance
Review credential vault isolation, four safety guarantees, and immutable audit chains.
Stop reading walls of JSON. Start interacting with your ERP right from your chat interface.
Stop writing custom integration code. Change how your SAP works with AI today.
Connect your existing SAP OData service in minutes. Turn complex business questions into interactive, sandboxed views that render inside Claude and ChatGPT with zero prompt memory bloat.
A good first step is small: one service, one user outcome, one visible control boundary.
Months of dev time eliminated
Auto-generated tools replace weeks of custom MCP server development.
No infrastructure to run
Fully managed. Nothing to install, host, or maintain.
Instant dashboards and UI
Live tables, KPIs, and review screens — no frontend developer needed.
One setup, every AI client
ChatGPT, Claude, Manus, custom agents — all from the same connection.