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LendAPI

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Origination, decisioning, servicing

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For banks, credit unions and lenders

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Blog, academy and company

Partners

Pricing

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Atomara

Atomara

Atomara

Atomara

Atomara is a forensic PDF verification API that checks bank statements and other borrower documents for signs of editing after issuance, returning a verdict, authenticity score, and evidence-backed findings from the file's own structure, metadata, fonts, and balance math.

Atomara is a forensic PDF verification API that checks bank statements and other borrower documents for signs of editing after issuance, returning a verdict, authenticity score, and evidence-backed findings from the file's own structure, metadata, fonts, and balance math.

CATEGORIES

#

Fraud Detection

Resources

Website

Overview

Atomara checks whether a PDF was edited after the issuer wrote it. Lenders and platforms send a bank statement, payslip, invoice, or similar file over a REST API and get back JSON with a verdict, a 0 to 100 authenticity score, and every forensic signal the engine found, including the page and area where it appears. The engine reads the file itself: generator and editor fingerprints, incremental save history, font and layout consistency, digital signatures, and whether statement figures add up line by line. It is issuer-agnostic by design, so there is no bank-template list to wait for, and when the method cannot tell it returns inconclusive rather than guessing. The same result is available in the Atomara dashboard for the person reviewing a flagged application. Digital PDFs carry the full check; scans and photos of paper documents are accepted but do not receive a structural authenticity score.

Use Cases

  • Screen borrower-submitted bank statements for editor fingerprints, altered figures, and save-history anomalies before underwriting uses the numbers.

  • Call a REST endpoint from an origination or decisioning workflow and branch on verdict, score, and stable signal ids in the JSON response.

  • Flag payslips, invoices, receipts, and employment letters that show post-issuance editing traces alongside lending KYC and onboarding files.

  • Give credit reviewers the same evidence-backed report the API returns, including where on the page each finding sits.

Overview

Atomara checks whether a PDF was edited after the issuer wrote it. Lenders and platforms send a bank statement, payslip, invoice, or similar file over a REST API and get back JSON with a verdict, a 0 to 100 authenticity score, and every forensic signal the engine found, including the page and area where it appears. The engine reads the file itself: generator and editor fingerprints, incremental save history, font and layout consistency, digital signatures, and whether statement figures add up line by line. It is issuer-agnostic by design, so there is no bank-template list to wait for, and when the method cannot tell it returns inconclusive rather than guessing. The same result is available in the Atomara dashboard for the person reviewing a flagged application. Digital PDFs carry the full check; scans and photos of paper documents are accepted but do not receive a structural authenticity score.

Use Cases

  • Screen borrower-submitted bank statements for editor fingerprints, altered figures, and save-history anomalies before underwriting uses the numbers.

  • Call a REST endpoint from an origination or decisioning workflow and branch on verdict, score, and stable signal ids in the JSON response.

  • Flag payslips, invoices, receipts, and employment letters that show post-issuance editing traces alongside lending KYC and onboarding files.

  • Give credit reviewers the same evidence-backed report the API returns, including where on the page each finding sits.

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