Embedded Data Verification & Reconciliation

Return evidence-backed, policy-checked, and reconciled data to your customers, with every exception explained, not a bare pass or fail flag.

Verification That Comes Back Explainable

Staple returns results per field: the confidence score, whether the value was extracted or inferred, which rule or model produced it, and the reviewer if one intervened. Your platform renders the discrepancy in its own interface. Embed AI contextual verification, business-rule and anomaly checks, and external validation against tax authorities and registries.

Reconciliation Across Sources

Cross-source reconciliation runs across up to 10 related documents at line-item level, with fuzzy matching, variance controls, and tolerance ranges configurable per tenant. A concrete case: an invoice line reconciles to the PO but not to the goods receipt. The API returns which line failed, against which source, and why.

Extracted, Inferred, Mapped, Set

Staple separates extracted, inferred, mapped, and set values, so a platform embedding this can never present an inference to its customer as a fact read off the page. Inferred fields carry no confidence score by design.

Proven In Production

A global electronics manufacturer runs three-way matching at 99% field-level accuracy at high volume. A global investment bank reconciles values, quantities, and line items in real time across 5+ countries.

Scope

Staple returns verified data and explained exceptions. Your platform decides what to do with them.

Discuss an Embedded Use Case

Bring a reconciliation case and we will show the exact API response, or view the API documentation.

Related Topics

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Read the foodpanda case study