For agents & developers

Built to be queried by machines

The Commerce Graph is an AI-native intelligence layer. Any agent — Claude, ChatGPT, or your own — can read India's commerce data directly: RTO risk, address quality, courier serviceability, pincodes and market demand. Three ways in — an open API, plus one sign-in for the agent tools.

1 · Open API

No-auth REST

Public reference lookups — pincodes, serviceability, market data, address scoring, category prediction. CORS-open, rate-limited, JSON.

GET https://commercegraph.com/api/v1/pincode/560001Browse the API →

2 · MCP server

For Claude & ChatGPT

Add the Commerce Graph as an MCP connector, sign in once (OAuth), and call every tool from your AI chat. The sanctioned door for agents.

https://commercegraph.com/api/mcpConnect it →

3 · llms.txt

For answer engines

A machine-readable map of the graph, its capabilities and data, so LLMs can discover and cite it.

https://commercegraph.com/llms.txtRead llms.txt →

Open API reference

Endpoints

No API key. 60 requests/minute per IP. India · ₹ INR. Live data from Shiprocket's Sense APIs.

GET/api/v1/pincode/{pincode}

City, state & locality for an Indian pincode

https://commercegraph.com/api/v1/pincode/560001

GET/api/v1/serviceability

Couriers, rates & ETA between two pincodes

https://commercegraph.com/api/v1/serviceability?pickup=110001&delivery=560001&cod=0

GET/api/v1/market/{category}

Order volume, AOV, RTO & prepaid by city tier

https://commercegraph.com/api/v1/market/electronics

POST/api/v1/address

Score an address's quality & deliverability

curl -X POST https://commercegraph.com/api/v1/address -d '{"address":"…","pincode":"110057"}'

POST/api/v1/category

Predict a product's category

curl -X POST https://commercegraph.com/api/v1/category -d '{"descriptions":["…"]}'

RTO & order-risk prediction need buyer-specific inputs — use the live agent or the MCP server for those. Prefer it inside your AI chat? The MCP server (one sign-in) is the path.

The internet connected information; commerce platforms connected transactions. The Commerce Graph connects understanding — and exposes it to the agents that will run commerce next.

An initiative by Shiprocket. Explore the data insights or ask the live agent.