Getting started with NFH fabric
A hands-on starter kit for running a live beckn network in your own environment within 10 minutes — complete with a consumer node, a provider node, and the…
A hands-on starter kit for running a live beckn network in your own environment within 10 minutes — complete with a consumer node, a provider node, and the NFH fabric services that tie them together. No prior beckn experience needed.
What Will You Learn?
By the end of this guide you will have:
A running beckn network — a Consumer Node (consumer-side platform), a Provider Node (provider-side platform), and the ONIX adapters that connect them, all running in your own environment, local or cloud. You will also see how a crawler-fed Discovery Service serves
discoverrequests from Consumer nodes.A working understanding of NFH fabric's DeDi Registry — how it's used for identity and routing, and how a Provider node makes its own catalog independently discoverable by publishing signed files and registering a catalog index URL — no publish API call involved.
An observable transaction flow — you will fire real beckn API calls, see the messages get signed and routed, and watch the full
discover → select → init → confirmlifecycle play out end-to-end.
What is NFH fabric? — A Quick Recap
NFH fabric is an open protocol that allows any buyer-side application to transact with any provider-side application across an open network — without either side being locked into a single platform. Think of it like HTTP for transactions: as long as both sides speak the beckn protocol, they can discover each other, negotiate, and transact, regardless of who built them.
Every beckn network has two kinds of application participants:
Consumer Node — the consumer side. A consumer node initiates transactions by sending actions:
discover,select,init,confirm, and so on.Provider Node — the provider side. A provider node responds asynchronously:
on_discover,on_select,on_init,on_confirm, and so on.
These two sides need not talk to each other directly. Every message travels through ONIX adapters — middleware that handles digital signing, schema validation, and protocol-level routing. It can also support observability at the network level, business policy enforcement, and much more. This keeps your application code focused on business logic.
Underpinning the network is NFH fabric's DeDi Registry — shared, trustless infrastructure every participant relies on for identity and routing lookups. Discovery in this starter kit is served by a crawler-fed Discovery Service: a Provider node publishes its catalog to storage it controls, points its Registry entry at that catalog's index, and a crawler independently discovers, verifies, and indexes it — no direct call between a publishing Provider node and a central catalog service is involved. This is covered in detail in Beckn NFH fabric: Registry and Discovery and Catalog Publishing.
Prerequisites
Ensure the following tools are installed before you begin:
Git — to clone this repository
Docker and Docker Compose
Docker Compose ships with Docker Desktop; for Linux see the Compose plugin guide
Postman — to send test requests
ngrok — a static domain is needed to run through the full flow, including making anything you publish actually crawlable
Download ngrok · requires a free ngrok account
For cloud VPS deployment you additionally need SSH access to a Linux server (Ubuntu 22.04 recommended) with ports 8081, 8082, and 9000 open in your firewall.
Quick Start: Run the Network Locally
This is the fastest way to see a beckn network in action. Six Docker containers — two adapters, two application simulators, Redis, and a reverse proxy — start up on your laptop and form a complete, working network.
Step 1 — Clone the repository
Step 2 — Start the stack
The first run pulls the required Docker images. This takes a few minutes once; subsequent starts are fast.
Step 3 — Confirm all services are healthy
Wait until all containers show running or healthy:
beckn-router
9000
Caddy reverse proxy — single entry point, routes /bap/* → onix-bap, /bpp/* → onix-bpp, /beckn/* → published catalog files
redis
6379
Shared cache for both adapters
onix-bap
8081
Consumer node-side ONIX adapter (caller + receiver)
onix-bpp
8082
Provider node-side ONIX adapter (caller + receiver + catalog/publish)
sandbox-bap
3001
Mock consumer node application (receives callbacks)
sandbox-bpp
3002
Mock provider node application (processes requests)
Step 4 — (Optional) Watch the adapters in real time
Open a second terminal and tail the adapter logs while you send requests:
You will see each message being signed, validated, and routed as you work through the transaction steps.
Stopping the stack
Public-Internet Testing (ngrok)
When you send a discover request, the Discovery Service sends on_discover back to whatever URL is in context.bapUri. That callback URL must be reachable from the public internet — which your laptop is not, by default. Publishing also depends on the tunnel: the catalog index and catalog files your Provider node writes are only crawlable if they're served from a publicly reachable URL (see Catalog Publishing).
The stack includes beckn-router, a Caddy reverse proxy on port 9000 that sits in front of both adapters and your published catalog:
One tunnelled port gives you a single stable public URL for the adapters and your published catalog. Set up an ngrok static domain, point the Postman collections' public_url variable at it, and keep catalogBaseURL in generic-bpp.yaml in sync with the same domain — this is the value that gets stamped into the URLs a crawler will try to fetch. Full walkthrough: starter-kit's Public-Internet Testing section.
Deployment: Cloud VPS
The same Docker Compose file works on any Linux VPS. Follow these steps after provisioning your server.
Recommended server spec: 2 GB RAM, Ubuntu 22.04.
Firewall — open these ports:
22
SSH
8081
onix-bap (consumer node ONIX adapter)
8082
onix-bpp (provider node ONIX adapter)
9000
beckn-router (reverse proxy)
3001
sandbox-bap (optional — for direct application access)
3002
sandbox-bpp (optional)
Install Docker on the server:
Clone and start:
The -d flag runs the stack in the background. Verify with:
Using a domain name and TLS:
For a production-like setup, place a reverse proxy in front of the adapters. Example with Caddy (auto-TLS via Let's Encrypt):
Once your domain is live, update the routing configs with the public URLs, and register your own participant identity with the DeDi Registry (see Customising the Starter Kit).
Your First Transaction
With the stack running, import the Postman collections and walk through a complete beckn transaction.
Import the collections
Open Postman and click Import.
Navigate to
starter-kit/generic-devkit/postman/.Import both files:
BAPBecknStarterKit.postman_collection.json— the buyer side:discover,select,init,confirmBPPBecknStarterKit.postman_collection.json— the provider side:on_select,on_init,on_confirm, andpublish
Set the collection variables
Each collection has a bap_adapter_url / bpp_adapter_url variable that tells Postman where the ONIX adapters are reachable. For local deployment:
bap_adapter_url→http://localhost:8081/bap/callerbpp_adapter_url→http://localhost:8082/bpp/caller
For a VPS, replace localhost with your server's IP or domain.
Run the transaction flow
Use the consumer node collection, in order:
discover does not require you to have published anything — it's served from whatever a crawler has already indexed across the network, independent of your own publishing activity. The on_* callbacks (on_discover, on_select, on_init, on_confirm) are sent asynchronously and received automatically by the sandbox applications — you do not need to trigger them manually. Use the provider node collection for on_select/on_init/on_confirm (to simulate a provider-initiated callback directly) and for publish — see Catalog Publishing if you want your own catalog to become discoverable.
After each step, check the onix-bap and onix-bpp logs to see the message being processed.
Catalog Publishing
onix-bpp exposes /catalog/publish — a same-operator trigger that publishes one or more plain Beckn Catalog objects: it diffs each against what was last published (producing a fresh baseline, an incremental change file, or a no-op), signs the result, and writes a manifest plus a catalog index to disk. This is the catalog-publisher plugin for beckn-onix — see its design background for the full reference.
Prerequisites for your published catalogs to be discoverable — neither is needed to use discover itself, only to have your own catalogs show up in results:
Publicly available storage for the catalog files — any static host works (your own domain, a CDN, GitHub Pages, or a tunnel such as ngrok for local testing).
catalogBaseURLingeneric-bpp.yamlmust point at wherever that storage is actually served from.A live DeDi Registry entry for your node, with
meta.catalog_index_urlsset. A crawler only picks up your catalog once your Registry record points at your published index.
Trigger it via the publish request under the provider node collection's Catalog Publishing folder, or directly:
The response is synchronous — there's no on_publish callback, since this is an unsigned, same-operator call:
Publishing the same catalogId again with edited content produces an incremental change file and bumps its version instead of a fresh baseline; publishing it unchanged is a no-op. Inspect generic-devkit/data/beckn/ on the host directly to see the generated manifest, catalog index, and versioned catalog files. Full request/response reference: starter-kit's Catalog Publishing section. For the full walkthrough of this model, see Catalog Publishing and Discovery → Quickstart.
How It All Works
Now that you have seen the network in action, here is a deeper look at how the pieces fit together.
The Services in This Stack
beckn-router
caddy:alpine
9000
Reverse proxy — single entry point for both adapters and published catalog files
onix-bap
fidedocker/onix-adapter
8081
Consumer node-side protocol adapter
onix-bpp
fidedocker/catalog-publisher
8082
Provider node-side protocol adapter, includes the catalogpublisher plugin
sandbox-bap
fidedocker/sandbox-2.0
3001
Simulates a consumer node application
sandbox-bpp
fidedocker/sandbox-2.0
3002
Simulates a provider node application
redis
redis:alpine
6379
Shared request/response cache
The ONIX adapter is the core middleware from the beckn-onix project. It is a plugin-based Go server that handles signing, signature validation, schema validation, and routing for every beckn message. Both onix-bap and onix-bpp run the same underlying binary — their behaviour is entirely determined by their config files and which plugins are compiled in.
The application simulator (fidedocker/sandbox-2.0) is a generic beckn application simulator. It exposes simple HTTP endpoints that receive forwarded messages and generate appropriate responses, so you can observe the full protocol flow without building your own Consumer node or Provider node app yet.
NFH fabric: Registry and Discovery
Beckn NFH fabric is the shared infrastructure layer that makes an open beckn network possible. Without NFH fabric, each participant would need bilateral agreements with every other participant. NFH fabric removes that requirement by providing shared, trustless services that the whole network relies on. This starter kit uses one Beckn NFH fabric service — the DeDi Registry — plus an independent, crawler-fed Discovery Service that runs alongside but outside of NFH fabric.
DeDi Registry (fabric.nfh.global/registry/dedi)
The DeDi (Decentralised Directory) Registry is the source of truth for participant identity on the network. Every Consumer node and Provider node registers their network ID, public key, and callback URI with the registry. The ONIX adapter consults the registry for two things:
Signature validation — when an inbound message arrives, the adapter looks up the sender's public key in the registry to verify the digital signature. If the key is not found or the signature is invalid, the message is rejected.
Routing — when a message needs to reach a Provider node (e.g.,
select) or return to a Consumer node (e.g.,on_select), the adapter performs a registry lookup by participant ID to resolve the correct callback URL. This is how the network routes messages without any static config between participants.
The registry is referenced in all four adapter config files under the registry plugin:
The same registry record is also where a Provider node points crawlers at its own catalog — see meta.catalog_index_urls in Catalog Publishing.
Discovery Service (crawler-fed)
The Discovery Service is an independent network service — not part of Beckn NFH fabric — that acts as the search engine for the network. It does not receive a direct call from a Provider node's publish. Instead, a crawler reads meta.catalog_index_urls from each DeDi-registered node's record, independently fetches and verifies that node's published catalog files, and feeds the result into the Discovery Service's own index on its own schedule. When a Consumer node sends a discover request, the adapter routes it to the Discovery Service, which serves results from whatever the crawler has already indexed and responds asynchronously with on_discover. The Consumer node never contacts a Provider node directly during discovery — direct Consumer-to-Provider communication only begins at select.
The Discovery Service endpoint is configured in generic-routing-BAPCaller.yaml:
The Full Transaction Flow
Here is the complete picture of how a beckn transaction flows through the network:
The key insight: discovery is served from whatever a crawler has already indexed across the network, independent of when or whether this Provider node has published anything, and post-discovery transactions flow directly between Consumer node and Provider node with the DeDi Registry providing dynamic routing. Publishing your own catalog (optional) makes it discoverable on the crawler's own schedule, asynchronously — it is never a prerequisite for discover to return results from other nodes.
Tracing a Request End-to-End
Here is the step-by-step journey of a single discover call, showing what happens inside each service:
1. Postman → onix-bap You trigger a discover by POSTing to onix-bap's caller endpoint (/bap/caller/discover). The bapTxnCaller module picks it up.
2. addRoute — the adapter reads generic-routing-BAPCaller.yaml and matches the discover action to the configured Discovery Service URL.
3. sign — the adapter signs the request body using the Ed25519 private key defined under keyManager in generic-bap.yaml (identity: bap.example.com).
4. validateSchema — the Beckn v2.0.0 OpenAPI spec is fetched from GitHub (cached for 1 hour) and the message is validated against it.
5. Request → Discovery Service — the signed, validated discover message is forwarded to the Discovery Service.
6. Discovery Service → on_discover callback — the Discovery Service searches its crawler-built catalog index and asynchronously POSTs on_discover back to onix-bap's receiver endpoint (/bap/receiver/on_discover).
7. validateSign — the bapTxnReceiver module verifies the Discovery Service's digital signature by looking up its public key in the DeDi Registry.
8. addRoute — reads generic-routing-BAPReceiver.yaml, which routes all on_* callbacks to the sandbox-bap webhook.
9. sandbox-bap receives on_discover — the response (list of available offerings) is now stored in the application and visible in logs.
For select, init, and confirm, the flow is similar but the adapter uses the DeDi Registry to resolve the Provider node's URI dynamically (no hardcoded URL needed), and onix-bpp uses the registry to resolve the Consumer node's callback URI for the on_* responses.
Repository Structure
config/ — How Each File Is Used
Each ONIX adapter instance loads one primary config file, which in turn references routing config files for each module.
generic-bap.yaml — loaded by onix-bap. Defines two modules:
bapTxnCallerat/bap/caller/handles outbound Consumer node requests. It signs each message, routes it usinggeneric-routing-BAPCaller.yaml, and validates the schema.bapTxnReceiverat/bap/receiver/handles inboundon_*callbacks. It validates the sender's signature (via DeDi Registry lookup), routes the response to sandbox-bap usinggeneric-routing-BAPReceiver.yaml, and validates the schema.
generic-bpp.yaml — loaded by onix-bpp. Defines three modules:
bppTxnReceiverat/bpp/receiver/handles inbound action requests from Consumer nodes. It validates signatures and routes to sandbox-bpp usinggeneric-routing-BPPReceiver.yaml.bppTxnCallerat/bpp/caller/handles outboundon_*responses. It signs messages and routes them usinggeneric-routing-BPPCaller.yaml.catalogPublishat/catalog/publish— a separate module, not part ofbppTxnCaller— handlescatalog/publishdirectly: unsigned, same-operator, no routing config involved. See Catalog Publishing.
generic-routing-BAPCaller.yaml — outbound routing for the Consumer node:
discover→ routes to the Discovery ServiceTransaction actions (
select,init,confirm, plus not-yet-implementedstatus,track,update,cancel,rate,support) →targetType: bpp, resolved dynamically via DeDi Registry lookup
generic-routing-BAPReceiver.yaml — all inbound on_* callbacks are routed to sandbox-bap's webhook endpoint.
generic-routing-BPPReceiver.yaml — all inbound action requests are routed to sandbox-bpp's webhook endpoint.
generic-routing-BPPCaller.yaml — outbound routing for the Provider node's on_* responses → targetType: bap, resolved dynamically via DeDi Registry lookup. catalog/publish does not route through this file at all — it's handled entirely by the separate catalogPublish module above.
Both config files embed a keyManager section with pre-generated Ed25519 key pairs for testnet participants bap.example.com and bpp.example.com. These are registered with the DeDi Registry on beckn.one/testnet and work out of the box — no changes needed to get started.
postman/ — What the Collections Do
BAPBecknStarterKit.postman_collection.json — the buyer-side flows, organised in two folders:
1 — Discovery:
discover— sent to onix-bap (/bap/caller/discover), which routes it to the Discovery Service.2 — Transaction:
select→init→confirm— sent to onix-bap, which routes each to the Provider node via DeDi Registry lookup.
BPPBecknStarterKit.postman_collection.json — the provider-side flows, organised in two folders:
1 — Transaction:
on_select,on_init,on_confirm— sent to onix-bpp (/bpp/caller/on_*). Use these to manually simulate or inspect Provider node responses. In a normal flow sandbox-bpp handles these automatically.2 — Catalog Publishing:
publish— sent to onix-bpp at/catalog/publishdirectly (not/bpp/caller/publish— this is the separatecatalogPublishmodule, see Catalog Publishing).
Customising the Starter Kit
Changing the Discovery Service endpoint
Edit config/generic-routing-BAPCaller.yaml to point discover at a different Discovery Service.
Running fully offline (no external dependencies)
Change the discover target in generic-routing-BAPCaller.yaml to route directly to onix-bpp's receiver endpoint (http://onix-bpp:8082/bpp/receiver/). You will also need to remove or stub the DeDi Registry lookups for the routing to work without network access.
Using your own participant identity
The config files contain pre-generated testnet key pairs for bap.example.com and bpp.example.com, registered on beckn.one/testnet. To use your own identity:
Generate a new Ed25519 key pair.
Register your
networkParticipantdomain and public key with the DeDi Registry atfabric.nfh.global/registry/dedi.Update the
keyManagersection ingeneric-bap.yamlandgeneric-bpp.yamlwith your new participant ID, key ID, and key material.Update the routing config files to use your
networkIdin place ofbeckn.one/testnet.If you want your own published catalogs to be discoverable, see the registry prerequisite in Catalog Publishing.
Replacing the application simulator with your own application
The application simulator containers (sandbox-bap and sandbox-bpp) are simple simulators. Replace either with your own application by updating the service image and webhook URLs in the compose file and routing configs. Your application needs to accept POSTed beckn messages at the configured endpoints and be on the same Docker network.
Using a different beckn domain
Update the domain (or networkId) field in all four routing YAML files to match your domain. Point the schemav2validator in the adapter config to the appropriate OpenAPI spec URL for schema validation.
Troubleshooting
Containers fail to start
Check for port conflicts on 8081, 8082, 9000, 3001, 3002, or 6379:
sandbox-bap or sandbox-bpp stays in starting state
The application containers health-check at /api/health. If they don't reach healthy within about a minute, inspect their logs:
Postman requests return connection errors
Confirm the stack is fully up (docker compose ps shows all six containers as running or healthy) and that your Postman collection variables point to the right host and port.
Signature validation failures (validateSign errors in logs)
The most common cause is clock skew. Beckn signatures embed a timestamp with a short validity window. On Linux: timedatectl to check clock sync. On Docker Desktop, ensure the VM clock is synchronised.
discover returns no results
The Discovery Service must be reachable. Check the URL configured in generic-routing-BAPCaller.yaml and test connectivity with:
If it times out, the testnet may be temporarily unavailable, or your network may block outbound HTTPS. discover does not depend on you having called publish — it's served from whatever a crawler has already indexed across the network. If you expected to see your own published catalog specifically, check that your DeDi registry entry actually carries meta.catalog_index_urls — a crawler has no other way to find it, and there's no immediate feedback if that field is missing.
catalog/publish not working
There is no on_publish callback in this model — catalog/publish responds synchronously. Check the response body directly: status: FAILED with an error object means a fatal failure (e.g. signing); a REJECTED entry in results[] means that specific catalog was invalid (check its reason). Also verify the Provider node's signing keys are valid by reviewing the keyManager section in generic-bpp.yaml, and that outputRoot/catalogBaseURL are set correctly (see Catalog Publishing).
Images fail to pull
Ensure Docker has at least 2 GB RAM allocated and a stable internet connection for pulling the required images.
Stopping and cleaning up
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