प GST + court record check

One GSTIN.
The whole record.

Before you send goods on credit, check your customer’s business. Review available GST return filing history and candidate court records to inform your credit decision. This public demo uses fictional data only.

✦ Synthetic report only • Five fictional scenarios • Instant local result

This public synthetic demo uses fictional data only. It does not access live government systems, private records, real GSTINs, PANs, Aadhaar numbers, OTPs, payments, or production Parakh data.

DEMO REFERENCE DEMO-2026-0002 · synthetic only

SPECIMEN

IDENTITYFixture profile found and normalizedCLEAR

FILINGRepeated filing delay pattern in fictional periodsFLAG

2 of 5 on time synthetic periods only

RECORDSFictional public-record example with attributionNOTE

LIMITSNo live records, private ledgers, or payment dataNOTE

Could not find: anything outside these local fictional fixtures.

The citizen journey

Know who you are dealing with.

A person running a small business needs to check a supplier, buyer, or logistics partner before money or goods move. This prototype makes that one task understandable from start to finish.

Start with one identifier

A business owner enters one of five visible Demo References from this prototype.

Make records readable

Parakh normalizes the local business, filing, and public-record fixtures into one evidence trail.

Read what is known

The report separates FLAG, CLEAR, and NOTE observations from limits and unavailable evidence.

Live synthetic journey

Try the report yourself.

Choose one of five fictional business situations, or type its listed demo reference. Each opens a dedicated report page using local fixtures only.

Use a listed Demo Reference, synthetic business name, or alias. Real-looking personal or government identifiers are blocked.

Why this is clearer

Less hunting. More context.

Today, checking a business means juggling portal searches, screenshots, filing tables, and confusing name variants. Parakh organizes the evidence cleanly and explains what every record means in simple, plain English.

THE MANUAL WAY

Different portals and screenshots
Filing periods that are hard to compare
Name variations without context
Missing evidence left unexplained

THE PARAKH VIEW

Normalized period-by-period evidence
Clear source and provenance labels
AI attribution confidence
Clear limits and what was not found

Round 2 capability · AI Attribution Reasoning

Every attribution shows its reasoning.

A wrong match could link an innocent business to someone else's record. Our new AI explainer compares names and fictional identity evidence — and tells you exactly what supports attribution, in plain English.

What it does

Checking the facts

When a public record has a similar name, the AI steps in. It compares the legal name, known aliases, and a fictional identity marker, then explains whether the evidence supports attribution or needs review.

Why it matters

Preventing mix-ups

Many companies in India share similar names. Matching text can cause false alarms for a citizen checking a supplier or service provider. The comparison makes uncertainty visible before anyone acts on a record.

What you see

Clear explanations

Instead of a mysterious “Yes” or “No”, you get simple factor tags (like Name or PAN match), a confidence score, and a short explanation you can actually read.

SPECIMEN PREVIEW

AI Attribution Reasoning Card

ATTRIBUTED

Name similarity: HighPAN pattern: Match

The synthetic legal entity name exactly matches the named respondent in the case fixture, and synthetic PAN pattern markers confirm entity continuity.

Confidence High·Decision ATTRIBUTED·Runtime AI model output

AI attribution in this demo evaluates local fictional fixtures only. The model shows its reasoning transparently, alongside the synthetic data limitations described below.

What works in this prototype

A complete journey, safely shown.

Visitors can go from one synthetic identifier to a readable report, compare situations, and download a fixture-only A4 PDF without a login or a live source connection.

Local synthetic profile lookup

Normalized filing-pattern evidence

Synthetic public-record examples

AI attribution reasoning with factors & confidence gauge

Explainable FLAG, CLEAR, and NOTE observations

Fixture-only A4 PDF with AI reasoning

Mocked, by design

Honest about what is missing.

This public synthetic demo uses fictional data only. It does not access live government systems, private records, real GSTINs, PANs, Aadhaar numbers, OTPs, payments, or production Parakh data.

Business facts, filing rows, public-record examples, report IDs, confidence language, and provenance labels are all mocked local fixtures. The demo is designed to make that boundary easy to see.

At scale, production use would require authorized APIs, consent-aware handling, audit logs, rate limits, data provenance, retention limits, security controls, and human-readable limitations.

Live production preview

Continue to the live Parakh product.

This public build uses fictional fixtures only. Production Parakh is separate and requires sign-in for authorized real-data workflows.

Head to parakh.biz

One GSTIN.The whole record.