Most comparisons of Indian B2B data providers put five very different kinds of product in one table and rank them, which produces a ranking that is wrong for almost every reader. These companies are not competing on the same axis. An MCA-derived company-intelligence platform and a newly-registered-business feed do not overlap enough to have a winner.
This guide sorts the market into categories, states what each is structurally capable of, and gives you a scoring framework to apply to your own case. We publish this site, and one of the products named below is ours — the disclosure explains exactly what that means for how it is covered here.
The five categories
1. MCA-derived company intelligence
Examples: Zauba Corp, Tofler, Probe42, InstaFinancials
Built on Ministry of Corporate Affairs filings. Deep on companies and LLPs: directors, capital, charges, financial statements, filing history.
- Good at: due diligence, credit assessment, competitor research, director networks, verifying corporate substance.
- Structurally cannot do: proprietorships and partnerships, which are absent from MCA entirely. Also no phone numbers.
- Buy it when: your prospects are registered companies and you need depth on each one.
2. GST compliance and verification tools
Examples: ClearTax, Masters India, KnowYourGST, GSTZen, Quicko
Built for tax workflows — filing, reconciliation, GSTIN verification, e-invoicing.
- Good at: verifying a GSTIN at scale, checking return filing status, vendor compliance monitoring.
- Not designed for: prospecting. Verification answers "is this one real"; it does not produce a list.
- Buy it when: you need to validate counterparties, not discover them.
3. New-registration and business-discovery feeds
Examples: FinScreener and other GST-registration-based feeds
Built on the GST register, oriented toward finding businesses rather than checking them.
- Good at: breadth across the full business population including proprietorships; time-based targeting by registration date; geographic and activity filtering.
- Limitation to interrogate: contact fields are enrichment, not registration data, in every product in this category without exception. Audit them using how GST contact databases are built.
- Buy it when: timing matters and your addressable market includes small and unincorporated businesses.
4. Contact-first sales intelligence
Examples: Apollo.io, Lusha, ZoomInfo
Global platforms built around finding a named person at a company and reaching them.
- Good at: decision-maker identification, job titles, email patterns, CRM and sequencing integration, larger organisations.
- Weak on: the Indian small-business long tail. Coverage of a two-person proprietorship in a tier-3 city is close to nil.
- Buy it when: you sell to mid-market and enterprise companies with identifiable functional roles.
5. Directories and marketplaces
Examples: IndiaMART, JustDial, Fundoodata
Businesses list themselves, which is both the strength and the bias.
- Good at: categories where businesses actively market — manufacturing, wholesale, trade, local services. Contact details are self-published, which is a meaningfully better provenance than most alternatives.
- Biased toward: businesses that chose to list. Systematically misses everyone who did not.
- Buy it when: your category maps onto directory categories and self-published intent is worth more to you than completeness.
Capability matrix
| Capability | MCA platforms | GST tools | Registration feeds | Contact platforms | Directories |
|---|---|---|---|---|---|
| Proprietorships | No | Yes | Yes | Rarely | Yes |
| Director details | Yes | No | Partial via MCA join | Partial | No |
| Financial statements | Yes | No | No | No | No |
| GSTIN status check | No | Yes | Yes | No | No |
| Registration-date targeting | Incorporation only | No | Yes | No | No |
| Phone numbers | No | No | Enrichment | Yes | Yes, self-published |
| Named decision-makers | Directors only | No | No | Yes | Partial |
| Small-business coverage | No | Yes | Yes | Poor | Moderate |
| API access | Usually | Usually | Varies | Yes | Varies |
Scoring a provider for your case
Weight these against your own situation rather than accepting a general ranking:
1. Population fit (weight this highest). Does the provider's universe contain your buyers at all? A platform without proprietorships is worthless for selling to small traders regardless of everything else. This one question eliminates most of the market for most buyers.
2. Field fit. List the three fields you would actually filter on. If a provider cannot filter on all three, the record count is irrelevant.
3. Contactability, measured not claimed. Fill rate on the contact fields, in a sample, calculated by you. See the data quality checklist.
4. Provenance disclosure. Will they name the source and collection date per field? A provider who will is telling you something about their whole operation, not just their metadata.
5. Freshness, measured as lag. Median days between registration date and delivery. The method is in what "daily" and "fresh" mean.
6. Delivery format. File, dashboard, API, CRM integration. A file that requires manual import every week has an ongoing labour cost nobody puts in the comparison — see the API guide.
7. Commercial terms. Record allowance, export limits, term, cancellation, refunds. Structures and their traps are in what GST lead data costs.
Never buy on record count alone
Record count is the easiest number to inflate — count GSTINs instead of PANs, include cancelled registrations, include TDS deductors and ISDs, count multi-state registrations separately. Two providers quoting counts that differ by 3× may hold near-identical data. Compare usable records for your filter, from a sample, or do not compare at all.
A short procurement sequence
- Write down the filter you will actually run, in one sentence.
- Ask three providers for a sample matching exactly that filter. Not a generic sample — that filter.
- Measure fill rate, registration-date distribution and status validity yourself.
- Verify ten GSTINs against the official portal.
- Compute cost per usable record, not cost per record.
- Ask each for a per-field source and date table. Note who supplies it without friction.
- Buy the shortest term available and re-measure at renewal.
Step 3 disqualifies more providers than any sales conversation will.
Common questions
Which provider is best? There is no answer without knowing your buyer population. If your buyers are companies, category 1. If they are small and new, category 3. If they are enterprise, category 4. A ranked list that ignores this is selling something.
Can one provider cover everything? No. GST-based products cannot produce audited financials; MCA-based products cannot see proprietorships. Teams with broad requirements run two sources and join on PAN — see GST data vs MCA company data.
Are cheap lead lists ever worth it? Occasionally, for a genuinely high-volume, low-touch motion where you have measured the economics. Usually the reason they are cheap is unverified contact data with undocumented provenance, which costs you rep time on the front end and compliance exposure on the back end.
How do I check a provider is compliant? Ask for documented sourcing per field, their position on data subject correction and deletion requests, and their contractual stance on the lawful basis for the contact data. The buyer-side checklist is in the DPDP guide.