🇮🇳 INDIA
India is the hardest addressing market on earth — landmark-first addresses, six locality levels, and a data landscape most global providers gloss over with an interpolated point. We validate Indian addresses down to the house number, with rooftop coordinates, against our own India reference database — built in-house over years, not licensed in. And where we can't confirm a premise, the response says so.
Parsing, standardization, PIN-code and locality validation, and coordinates — with the accuracy tier stated plainly, not implied.
A real response from our India database. Where the house number and street confirm, you get rooftop at full confidence. Where they don't, the accuracy_type drops to street, postcode_centroid or locality_centroid — and says so, rather than dressing an approximation up as a premise.
Global address APIs routinely return an interpolated point in India and label it like a verified premise. Published coverage tables state the best attainable level and never the hit rate. Our engine reports what was actually confirmed on each individual address — and what wasn't.
Over 4 million of our 5.78 million Indian address records carry house numbers. A confirmed premise returns rooftop coordinates at full confidence — not an interpolated point along a street line.
Every response states its tier — rooftop, street, postcode_centroid, locality_centroid — with a matching confidence score. Your systems can branch on what was verified instead of guessing.
Built in-house over years, not licensed from a global map vendor. That means we can fix what you report, on our schedule — and it makes India available for reference-data licensing, not only as an API.
India is standardizing digital addressing (India Post's DIGIPIN initiative). We track these standards closely and plan to return standard digital address codes alongside validated addresses as adoption matures.
If your stack covers Europe and North America well but thins out east of Istanbul, we can be your Asia layer — white-label, per-transaction, benchmark before you buy.
One wholesale API for the markets your current supplier doesn't reach at street level — India, Japan, Korea, Taiwan, Thailand, Vietnam, the Philippines, the Gulf. Priced per transaction, no minimum commitment to start.
Send us your India test set — or use ours — and we return per-row accuracy tiers you can score against your current provider. We sell measurement, so we're happy to be measured.
Because we built our India reference data in-house, we can license it — not just serve it. Bulk reference data for your own stack, structured in line with India's geospatial data guidelines. Rare in this market: most vendors resell someone else's India and cannot sublicense it.
Resell India coverage without inheriting inflated accuracy claims. Every response carries the tier that was actually verified — the honesty is contractual, not cosmetic.
India is not uniformly premise-level and we won't pretend otherwise: coverage is deepest in urban and metro areas, and a rural address may resolve to street, PIN or locality precision. The difference is that our response tells you which one you got, on every single row. If a provider quotes near-perfect premise accuracy across all of India, ask them for their per-row accuracy tier — and for their hit rate, not their ceiling.
A number, with its method. We sampled 400 addresses at random from our own India reference data and validated them through the live API. With the house number supplied: 66.2% returned rooftop, 31.8% street, 2.0% postcode centroid, and the street component confirmed on 97.5%. Drop the house number from the same 400 and rooftop falls to 0.5%. Note what this measures — the matcher against addresses we hold, not coverage of every address in India; your own file will contain addresses nobody has. That is exactly why we hand you a per-row tier instead of a headline percentage.
House-number validation with rooftop coordinates, from our own India database. Accuracy tiers that never lie to you — that's the product.
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