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EchoRelay is a managed runtime for custom API integrations.
Describe one integration once: what comes in, the target system, credentials, the retry policy, and how the answer maps back. EchoRelay validates each inbound request, maps it, replies synchronously, passes streams through, fans out to multiple targets, or queues delivery with automatic retry, a dead-letter queue and replay.
Every configuration change is versioned. Preview, diff, dry run, schedule, publish and roll back. When a vendor changes their API or rotates a credential, you update the configuration and publish. Deploy nothing.
Build and operate each integration through the REST API, an MCP server so an AI agent can do the wiring, or the web panel. Free to start, no card required.
Docs: https://docs.echorelay.dev · Pricing: https://echorelay.dev/pricing
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EchoRelay.dev's answer:
What costs you money in an integration is not building it, it is the week a vendor renames a field. EchoRelay holds each integration as configuration instead of code you deploy: what comes in, where it goes, how it authenticates, what happens when the target is down, and how the answer maps back. Change any of it, preview the diff, publish, roll back if you were wrong. Deploy nothing. Every request leaves a delivery receipt, so when someone asks whether an order reached the warehouse, you answer from the record rather than from the logs.
EchoRelay.dev's answer:
Software teams that maintain a handful of custom integrations and have nobody whose job that is. There are developers, which is why they can run a runtime and read a mapping, but no integration team, so every vendor change competes with the product roadmap for the same people. Typically a shop wired into an ERP, a tax office, a fulfilment partner and a few marketing tools, or a product reselling a dozen vendor APIs behind one format of its own.
EchoRelay.dev's answer:
Most alternatives are one of two things: a catalogue of prebuilt connectors for popular products, or a workflow canvas. Neither helps with the adapter you had to write yourself, because the system on the other end is a customer's ERP or a partner's ordering API that nobody ships a connector for. EchoRelay is for that one. You describe it once and we operate it. The real comparison is the adapter service you would otherwise build and maintain in-house, and the difference is that a schema change becomes a mapping edit instead of a release.
EchoRelay.dev's answer:
It started from a pattern that shows up in almost every software team that talks to systems it does not control. The integrations that hurt are never the popular ones with a ready-made connector. They are the customer's ERP, the partner's ordering API, the tax office endpoint: one-off adapters somebody wrote once and now nobody wants to own.
The cost is not writing them. It is everything after. A vendor renames a field and someone edits adapter code, deploys it and hopes nothing else moved. A credential rotates and the adapter quietly breaks until a customer notices. The vendor has an outage and the retry logic you wrote yourself has to absorb it. Then someone asks whether an order actually arrived, and the honest answer is buried in logs.
EchoRelay was built to move that work out of application code. Describe the integration once as configuration: what comes in, where it goes, how it authenticates, what happens when the target is down, and how the answer maps back. When the vendor changes something, you change the mapping, preview the diff, publish, and roll back if you were wrong. Deploy nothing. Every request leaves a delivery receipt, so the question about that order has an answer you can point at.
EchoRelay.dev's answer:
Nothing you have to install or operate. From the outside EchoRelay is plain HTTP: a REST API, an MCP server so an AI agent can do the wiring, and a web panel. You send a request to an address and we handle the rest.
Based on our record, ngrok seems to be more popular. It has been mentiond 429 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Build it, run it, and expose it with ngrok for remote access:. - Source: dev.to / 3 months ago
Local testing tip: To inspect webhooks during development, run ngrok against your local backend and set the ngrok URL as the webhook target in Nango's environment settings. - Source: dev.to / 4 months ago
Use ngrok or Cloudflare Tunnel to expose your localhost endpoint, register that URL as the webhook target, and trigger test events from the dashboard's "Send test event" button. - Source: dev.to / 4 months ago
Testing the full async flow end-to-end during development is important. Unit tests verify the processing logic in isolation, but they can't replicate the sender's retry timing or the behavior of the real queue consumer. Ngrok exposes your local receiver to the actual external sender so you can exercise the complete path including signature verification, queue writes, and worker consumption under realistic delivery... - Source: dev.to / 4 months ago
Use Postman to send test requests with custom signature headers to a running server. Ngrok lets you test against a real external sender during development. - Source: dev.to / 4 months ago
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