Structured Data Delivery

A finance or data team does not want a document, it wants clean, structured data it can post, reconcile, and report on, in the exact shape its systems expect. Structured Data Delivery is the last mile of the platform: it hands verified data to the destination that consumes it, in the format that destination requires, with the proof of where each value came from attached. The work of reading, verifying, and reconciling the document is finished; this is how the result leaves Staple and lands cleanly in the system that acts on it.

Formats For Every Destination

• Tabular data as CSV, XLSX, or JSON for finance systems, data platforms, and analytics.

• Structured XML and UBL for e-invoicing and tax-authority submission, aligned to the country format the receiving authority mandates.

• Destination-specific payloads shaped to a named target system, so the data posts against the fields that system expects rather than being reshaped by hand afterward.

• Audit logs exportable as CSV or JSON for offline review, reconciliation, or handing to an examiner.

Delivered Over API, Webhook, Or Export

Data can be pulled over the Connect and Operate API, pushed as a webhook the moment a document reaches a state you care about, or exported on demand from the interface. The webhook payload is the same structured data the API export returns, so what a system receives by push is identical to what it would pull, and there is no second, divergent format to reconcile.

You subscribe to the specific events that matter, a document uploaded, completed, rejected with its reason, deleted, or moved between queues, and assign each webhook to the queues it should watch. A webhook points at an HTTPS endpoint your team controls, with an alert email for delivery failures and a last-triggered record, so a missed payload does not go unnoticed. Access to create and manage webhooks is controlled by role, and full request and response schemas are in the API documentation.

Mapped To The Destination Before It Posts

Delivering a clean file is only half the job. The record still has to post into the destination system without being rejected, which means the values on the document have to resolve to the identifiers that system already holds. Staple does that resolution before delivery, not after. Master data mapping normalizes suppliers, currencies, dates, and units and matches them against your master data with fuzzy and semantic matching, so a vendor named slightly differently on the invoice still lands on the right account.

A concrete example makes the point. When Staple posts an invoice into an expense and travel platform such as SAP Concur, the destination expects a vendor identifier paired with a specific address code that already exists on its side, and it will not auto-correct a payload. Staple performs the vendor lookup against the destination, selects the matching address record, and sends the final pair, so the invoice posts against the correct remittance address rather than defaulting to whichever record happened to come back first. That is the difference between an export a downstream team has to fix and a delivery that reconciles on arrival.

Matched And Reconciled Before Delivery

Delivery happens after cross-source reconciliation, so what leaves Staple is not raw extraction, it is data that has already been matched two-way, three-way, or across as many as ten related sources at line-item level. Any field that lands below the configurable confidence threshold, 0.9 by default, is held for review rather than passed downstream as if it were certain, and discrepancies are resolved or flagged before the record is handed on. The receiving system inherits data that has already survived the checks, not a first draft it has to validate itself.

Provenance Attached

Every delivered value can carry a Metastructured Data record, a cryptographically signed proof of source, timestamp, and confidence bound to the data itself rather than parked in a separate log. It is applied today to API gateway responses and manual downloads, with webhook coverage planned and labeled as such, so the receiving system, or an auditor, can verify the data has not been altered in transit without contacting Staple. Delivery therefore carries not just the value but the evidence behind it. The open standard behind this is documented under Open Trust Infrastructure.

What Structured Data Delivery Does Not Do

Staple delivers structured, verified data, maps it to the destination you configure, and attaches its provenance. It does not redesign your business data model for you beyond that mapping, and it is not a data warehouse or a system of record. It hands clean, reconciled, destination-ready data to the systems that are.

Proven In Production

foodpanda processes more than 750,000 documents a year across 11 countries in Southeast Asia and five languages, matched three ways against purchase orders and goods receipts. Verified data is delivered over API export into their systems, and the operation absorbed volume growth with no additional hires at 97.99 percent accuracy. Across deployments, Staple delivers structured data for Fortune 100 companies and global financial institutions in 60 countries at a 100% deployment success rate.

Related Capabilities

• Connect and Deliver

• Cross-Source Reconciliation

• Connect and Operate API

See Your Data Delivered Structured

Show us a document and the destination system, and we will show you the exact structured output and how it arrives, mapped and ready to post. Book a demo.