GST Analyser Tools for Lenders: What to Look For Beyond Data Fetch

A GST data fetch returns filed returns. A GST analyser turns them into credit signals: GSTR-1 reconciled to 3B, turnover bridged to bank credits and the ITR, filing-delay patterns read as liquidity stress, registration status checked, counterparty concentration measured. Most tools sold as analysers stop at the fetch. The difference is testable in a POC.

Key facts

• The consent rail exists and it is regulated. RBI included GSTN as a Financial Information Provider under the Account Aggregator framework "with a view to facilitate cash flow-based lending to MSMEs", designating GSTR-1 and GSTR-3B as financial information, with the Department of Revenue as GSTN's regulator for the purpose (RBI/2022-23/140, 23 November 2022).
• YuSight delivers 5x throughput at the same headcount on the classification and extraction that sits underneath all of this. GST analysis is an input to a spread and a memo, not a decision on its own.
• The dataset is now close to universal. "The number of GST taxpayers increased from 66.5 lakh in 2017 to 1.65 crore as on May 2026", against gross collections that "rose from ~₹13.76 lakh crore in 2021-22 to ~₹22.27 lakh crore in 2025-26" (PIB, *Nine Years of GST*, 30 June 2026).
• API access is consent-gated at the portal, and the borrower can revoke it. GSTN's own framework says the "tax payer authorize GSP application to authenticate on his/her behalf" and that taxpayers keep the "flexibility and option to anytime choose not to use API access of GSPs by simply logging in to GST portal and uncheck option" (GSTN, *GST Suvidha Provider (GSP) Implementation Framework v3.0*).
• A session, once opened, stays open for weeks. ClearTax documents that "a taxpayer can keep the API session active for a minimum of six hours and a maximum of up to 30 days. A taxpayer is not required to enter the OTP during this time frame" (ClearTax, *All About GST API Access*) — which is a data-governance question for the lender, not just a convenience.

What actually separates a fetch from an analyser?

The honest position is that a fetch is a prerequisite, not a rival. Every analyser sits on a fetch. The question a lender is actually buying against is how much of the second column the vendor performs, and how much lands back on the analyst.

For the underlying analytical framework — what each return proves, and what it does not — start with GST return analysis for lending.

How does GST data reach a lender, and does the route change what you can analyse?

Three practical consequences.

First, the AA route is the cleanest from a compliance standpoint and the narrowest from an analysis standpoint. If your model needs GSTR-2A/2B for supplier concentration or GSTR-9C for the audited reconciliation, AA alone will not carry it. The consent mechanics, the FIP/FIU roles and what an artefact actually permits are covered in the Account Aggregator framework explained.

Second, the API route's persistent session is an operational asset and a governance liability. Being able to refresh a borrower's returns monthly for covenant monitoring is genuinely useful. Holding a live session on a borrower who has since been declined is not. Ask the vendor how sessions are terminated and who can see the list.

Third, upload-only files still arrive, and they still have to be read. A GST analyser that cannot ingest a portal PDF or a screenshot of the Returns dashboard will fail on exactly the borrowers whose GSTIN has been suspended and who therefore cannot enable API access.

The 12-point capability checklist

Score each item present, partial or absent. Anything a vendor cannot demonstrate on your test file is absent.

1. Table-aligned GSTR-1 to GSTR-3B comparison. Not headline totals. The tool must sum GSTR-1 Tables 4A, 5A, 6A, 7 and the 9A/9B/9C amendments against GSTR-3B Tables 3.1(a), (b), (c) and (e), and show its working. A tool that compares a GSTR-1 total against 3.1(a) alone manufactures gaps that were never there — the failure mode dissected in GSTR-1 vs GSTR-3B for credit assessment.
2. Credit note and amendment handling. Table 9B credit notes and prior-year amendments in 9A/9C must be netted correctly, with the adjustment visible as a line rather than silently applied.
3. PAN-level aggregation without double counting. Inter-branch supplies between a borrower's own GSTINs are taxable supplies between distinct persons. Summing GSTINs without eliminating them overstates turnover.
4. Registration status history, not a spot check. Active today tells you nothing about the four months the GSTIN was suspended last year. The tool should return the status timeline with dates.
5. Filing-delay analytics over 24 months. Delay in days per return, the trend in that delay, and identification of catch-up filings where several periods are filed on one date.
6. QRMP awareness. A quarterly filer pays tax monthly through PMT-06 and files GSTR-3B quarterly. A tool that compares monthly GSTR-1 to quarterly GSTR-3B will report a mismatch every month of the year.
7. Counterparty concentration. Top customers and suppliers by value, share of turnover in the largest, and the appearance of a new counterparty that immediately takes a double-digit share.
8. Related-party identification. Supplies to GSTINs sharing the borrower's PAN, or to entities with a common director or address, isolated from third-party turnover.
9. Bridge to bank credits. GST outward supplies against credits in the operating accounts for the same period, with the debtor movement carried as an explicit reconciling item.
10. Bridge to the ITR. GST turnover against the turnover declared in the income tax return, which is a different number for legitimate reasons — the method is set out in three-way triangulation.
11. E-way bill consistency. Part A of FORM GST EWB-01 is furnished by the consignor, and GSTN states the Part A information "shall be made available to the registered supplier on the common portal who may utilize the same for furnishing details in FORM GSTR-1" (e-way bill rules, Rule 138). Invoiced sales with no corresponding movement of goods is a specific, checkable pattern.
12. Citation back to the source return. Every derived number must open the return, period and table it came from. A dashboard figure a reviewer cannot trace is a figure that cannot go in a memo.

Items 1, 3, 9 and 10 are the ones that separate the field. Most tools do 4, 5 and 7 competently.

A worked example: what a two-GSTIN test file exposes

All figures below are illustrative and constructed to demonstrate the method. They are not client data.

Sharada Engineering Works Private Limited — one PAN, two registrations: 27 (Pune, manufacturing) and 29 (Hubballi, assembly and dispatch). FY2027-28. The lender builds this as a deliberate test file with a known answer, then scores each vendor against it.

The naive answer, which is what a fetch produces:

The correct answer:

What that 7.8% costs, if the turnover feeds a limit:

One arithmetic failure inside a GST tool moves the limit by ₹41 lakh. The assessment methods that consume this number, and how far they diverge from each other, are compared in working capital assessment methods.

Then the bridge that a real analyser runs and a fetch does not:

Clean. Now the finding the turnover figures never surface: GSTIN 29 was suspended from 12 September to 8 January — 118 days — for non-filing, and the six returns for that window were all filed on 22 January. Turnover for the year is unaffected, because the returns were eventually filed. Everything else is affected: the borrower had no valid registration for four months, customers could not claim input tax credit against those invoices, and a single-date catch-up filing is the signature of a cash constraint that has since been resolved with borrowed money.

A vendor whose output is ₹28.50 crore and a green "Active" badge has answered neither question correctly. A vendor whose output is ₹26.45 crore, a ₹7 lakh residual and a dated suspension window has done the job.

Nine tests to run in a proof of concept

Build the test file once, from live borrowers where you already know the answer, and put every vendor through the same set.

1. The multi-GSTIN test. One PAN, two or more registrations, with a known inter-branch supply. Does the PAN-level turnover eliminate it?
2. The credit-note test. A borrower with material Table 9B activity. Is the netting shown as a line, or is the number just different from yours with no explanation?
3. The QRMP test. A quarterly filer. Does the tool report twelve monthly mismatches, or does it recognise the filing frequency?
4. The suspension test. A GSTIN with a past suspension that has since been revoked. Does the tool report the historical window with dates, or only today's status?
5. The catch-up-filing test. A borrower who filed six periods on one date. Does the delay analytic collapse those to a single event, or spread it?
6. The bad-input test. Feed a portal PDF, a screenshot of the Returns dashboard and a JSON export of the same period. Do all three produce the same numbers?
7. The bridge test. Give the tool GST returns and bank statements for the same borrower and period. Does it produce a reconciling schedule, or two dashboards side by side?
8. The citation test. Pick any figure on the output. How many clicks to the return, period and table it came from? More than two is a memo you cannot defend.
9. The refusal test. Feed a return for a different GSTIN, a duplicate period, and a return outside the requested window. Does the tool flag them, or silently include them?

Test 9 catches more vendors than the other eight combined. A tool that will cheerfully aggregate whatever it is handed is a tool that will one day aggregate the wrong borrower's returns into a live file — the multi-entity failure described in multi-entity document mapping.

Who does what today?

Claims below are taken from each provider's own published material and are marked accordingly. Nothing here is a ranking, and nothing here is independently benchmarked.

Three markers a reviewer should carry into any vendor conversation:

• ScoreMe's ">99% Accuracy", "200 Cr+ Parameters" and "150+ checkpoints" are vendor-stated on its own site and are not independently audited or defined. Ask what the denominator is and what counts as an error.
• Digitap does not publish field-level output for its GST API. Whether it returns filing history and table-level detail, or only registration attributes, has to be established in a POC.
• FinBox's "almost USD 395 billion" MSME credit gap figure is presented without a source on its own page. Do not carry it into a board note without tracing it to the underlying study.

Read the table for what it is: the split between the columns of the fetch-versus-analyser comparison above, restated by vendor. Signzy's documented GST endpoint is a lookup; Perfios and ScoreMe publish analysis features; ClearTax publishes the plumbing. For adjacent tooling — bank statement analysers that would sit alongside any of these — see Perfios alternatives for credit analysis.

What can a GST analyser not tell you?

Four limits worth writing into the policy note before anyone builds a scorecard on this data.

• It cannot see the margin. GST reports supplies, not profit. A borrower can grow outward supplies 40% while losing money on every unit, and nothing in the returns will say so. The audited financials still have to be spread.
• It cannot see exempt and non-GST revenue properly. Nil-rated, exempt and non-GST supplies sit in different tables and are frequently reported inconsistently. For borrowers with a material exempt line, GST turnover is not a turnover proxy.
• It cannot prove the sale was real. Invoices raised without a supply appear in GSTR-1 exactly like invoices raised with one. The corroboration has to come from outside GST — e-way bills that move, bank credits that arrive, and the ITR.
• It cannot see borrowings. GST returns say nothing about term debt, unsecured promoter loans or facilities with other lenders. That is bureau and bank statement work.

E-way bill validity is one day per 100 km under the version of Rule 138(10) in the linked rules document, but the distance basis has been amended since; confirm the current notified distance before writing it into a check.

Where does GST analysis belong in the credit file?

Underneath the spread, not next to it.

GST returns reach a credit team as portal PDFs, JSON exports, screenshots of the Returns dashboard and photographs of an acknowledgement — often for several GSTINs across two or three group entities, in one folder with no naming convention. YuSight's Document Intelligence classifies each file, reads the GSTIN and tax period off the face of the document, and maps it to the correct borrower entity. That mapping step is what makes item 3 on the checklist above possible at all: you cannot eliminate an inter-branch supply until you know which two registrations belong to the same PAN.

Financial Spreading then carries the GST series into the same standardised statement set as the audited financials, the bank statements and the bureau report, with every figure traced to its source document and page and every figure analyst-editable. The output is a spread and a credit memo, not a GST dashboard — because the GST question is never asked on its own. It is asked to size a limit, to test a turnover claim, or to explain why the current account behaviour does not match the reported sales. The 5x throughput at the same headcount comes from removing the retyping between those sources, not from replacing the judgement at the end of them.

FAQ

Which tools analyse GST returns for lenders?

Perfios and ScoreMe publish dedicated GST analysers aimed at lending. Signzy, Digitap and ClearTax publish GST APIs that are closer to fetch and verification. Several bank statement and credit platforms bundle GST alongside other sources. What matters is which of them performs reconciliation rather than retrieval, and that is a POC question, not a brochure question.

Do GST analysers need borrower consent?

Yes, on both routes. The API route requires the borrower to enable API access on the GST portal and authorise the provider, and the borrower can switch it off from the portal at any time. The Account Aggregator route requires a standard consent artefact. Only a public GSTIN lookup runs without consent, and that returns registration attributes, not returns.

Can GST analysis be combined with bank statements?

That is the point of it. GST tells you what was invoiced and bank statements tell you what was collected, and the gap between them is the debtor movement. A tool that produces two dashboards instead of one reconciling schedule has left the actual work with the analyst.

What is the difference between a GSP and an analyser?

A GSP is licensed by GSTN to provide API access to the GST system. An analyser is software that interprets what comes back. Some companies are both, many analysers buy access from a GSP, and the distinction matters because it tells you who is responsible when data stops flowing.

How many months of GST returns should we pull?

Twenty-four. Twelve months shows the shape of one year but not whether this year is worse than the last, and a filing-delay trend needs two cycles before you can tell deterioration from seasonality.

Is a GST analyser enough to underwrite an MSME?

No. It cannot see margin, borrowings or the quality of the balance sheet, and it cannot prove that an invoiced sale happened. It is one of four inputs, alongside the financials, the bank statements and the bureau report.

What should we do if the borrower's GSTIN is suspended?

Treat it as a live credit event, not a data problem. A suspended registration means the borrower's customers cannot claim input tax credit on new invoices, which puts the order book at risk. Ask for the suspension notice, the revocation application and the dates, and confirm the returns for the window were actually filed.

Can we run this monthly for existing borrowers?

Yes, and it is one of the better uses of the API route, because a persistent session lets you refresh returns without going back to the borrower each month. Decide up front how sessions are terminated for declined and closed accounts, because an unmanaged session is an access right nobody reviews.

Key takeaways

• Everything sold as a GST analyser is built on a fetch. The purchase decision is about the layer above it: reconciliation, bridging and citation.
• Four checklist items separate the field — table-aligned GSTR-1 to 3B, PAN-level aggregation that eliminates inter-branch supplies, the bridge to bank credits, and the bridge to the ITR.
• In the worked example, failing one of those four overstated turnover by 7.8% and would have over-sanctioned a turnover-method limit by ₹41 lakh.
• Registration status is a timeline, not a badge. A GSTIN suspended for 118 days and caught up in a single day's filing is a finding that no turnover figure contains.
• The route decides the data. Account Aggregator is the cleanest consent rail and carries GSTR-1 and GSTR-3B; the API route carries more and leaves a session open for up to 30 days.
• Build one test file with a known answer and run every vendor through the same nine tests. The refusal test — feeding a wrong GSTIN, a duplicate period, an out-of-window return — eliminates more candidates than any feature comparison.

Upload a messy document set and see it classified — three years, several GSTINs, two group entities, no naming convention. Book a live demo.