@fetchsandbox
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Stateful API sandboxes from any OpenAPI spec. Test Stripe, Paddle, Clerk, Shopify, and 45 more without touching production. https://nitter.cf/t.co/T0MHWWi9Wp
San Jose
Joined March 2026
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- Followers84
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most API integrations break after the first request
webhooks, retries, async flows, staging drift…
so we built an MCP server for FetchSandbox.
Cursor/Claude can now explore + run real API workflows directly from your IDE.
raw demo below ↓
this flow:
- explores Stripe APIs
- runs the workflow
- chains IDs across steps
- triggers webhooks
- verifies the integration end-to-end
without setting up local infra or fake mocks.
looking for early feedback from engineers building with APIs
Your coding agent writes the integration in minutes. Then a retried webhook charges a customer twice.
FetchSandbox MCP runs the real API lifecycle from your IDE — retries, webhooks, state — and hands back a receipt, not a claim.
65 APIs. No keys. fetchsandbox.com/mcp
this is exactly why we kept building FetchSandbox.
most API integration pain isn't the first 200 response. it's everything after:
webhooks.
async retries.
state transitions.
oauth setup.
staging drift.
that's the gap. appreciate this 🙏
This quoted post is unavailable.
Quiet number from this week:
55 developers ran their first integration test against a FetchSandbox
sandbox — no real API keys, no touching production, no mocks that lie.
127 workflow runs. 1,000+ npm installs this month.
Still early. But people are testing the integrations their agents wrote -> which was the whole point.
try now
👇👇
fetchsandbox.com
this family photo needs more balloons roastyy.com/c/TVIlbYA5t1
fetchsandbox — APIs that run retweeted
someone posted about struggling with founder outreach, getting ignored. instead of firing back something growth-hacky, i used rawreply to write something that actually acknowledged what he was going through.
he replied immediately. opened up more.
that's kind of why i'm building this. not to generate "viral replies" but just... to help people sound like themselves online. small moment but it landed.
rawreply.com
Recorded a raw ~6.5 min IDE session: add Slack alerts for failed payments in a repo that already had Stripe + Clerk + Resend.
Not a highlight reel — full guided MCP run:
→ introspect brownfield repo
→ map existing webhook handlers (where failures only print today)
→ route to Stripe upstream (no Slack spec)
→ prove sandbox workflow
→ honest limit: payment_failed needs stripe listen/trigger, not just curated happy path
youtu.be/AB36LXwfoTQ
Setup:
fetchsandbox.com/install
Brownfield prompt that kicked this off:
👇👇👇
add slack notifications for failed payments — plug into existing stripe + resend webhook handlers
FetchSandbox proves the upstream Stripe event your Slack handler will see — not Slack itself.
most people using ai for their posts sound like this:
"Absolutely! Here are 5 actionable insights to leverage your professional journey..."
nobody talks like that.
rawreply fixes this — same prompt, but the output actually sounds human
gave it "write a letter to a friend who got laid off at meta"
chatgpt gave me a linkedin post. rawreply gave me something i'd actually send.
if you're using ai to write anything — try this before you hit post
🤝 Paid partnership
Claude integrated @resend into a real app via FetchSandbox MCP.
Sandbox proof — every API call, webhook, and signature verify
captured: fetchsandbox.com/runs/5b0c8d…
Not a mockup. Not a "✅ tests passed" lie. Real footprints.
@rajnagulapalle
We updated our MCP server and ran tests.
Asked FetchSandbox to simulate a declined-card payment. Got back: succeeded.
The test card overrode the scenario param — a gap in the workflow.
Most tools would lie or bail. We named it and shipped two commands to actually exercise the scenario.
fetchsandbox.com
this is the part i kept running into…
getting a 200 is easy now
understanding if the system actually works is not
webhooks, state transitions, failure cases…
that’s where time goes
feels like we don’t optimize for that enough yet
this direction is interesting…
we’ve been testing something internally on top of API specs
run the full lifecycle → see state transitions → verify webhooks → get proof
takes ~1–2 mins
same thing usually takes hours:
logs, retries, guessing what actually happened
---
even with AI generating code now…
developer understanding still matters
you still need to know:
- what states are valid
- what transitions are allowed
- what breaks on failure
that’s where most integrations go wrong
---
so instead of just:
“call this endpoint”
we run behavior-based workflows against the spec
and show:
- what actually happens
- what fails (and why)
- what the correct lifecycle looks like
---
not a mock
not just docs
proof that the integration actually works
before you ship
going from idea → product is fast now
but idea → reliable revenue still depends on all the messy flows behind payments
webhooks, retries, state… that part is still hard
@fetchsandbox trying to close that gap
Lovable Payments is live.
Lovable made it possible to go from idea → product in hours.
Now, monetization is built in from the start.
With Paddle as the Merchant of Record, handling payments, tax, billing, and compliance, builders can sell globally from day one.
So more builders can go from idea to revenue, faster.
Learn more: paddle.com/lovable-payments-…
#MonetizeMagic
we pushed a bunch of changes this week
workflows are way cleaner now
not just happy path… you can run failure cases too and see how things actually break
system guides you step by step instead of guessing from docs
also improved how agents + devs coordinate
simple prompts, point to integration files → more reliable outcomes
goal is simple
make integrating any api feel less like trial and error
most API integrations break after the first request
webhooks, retries, async flows, auth setup, staging drift…
shipped three features this week based on developer feedback:
→ timeline view — see every request + webhook in order, grouped by resource → flow tracking — know if a workflow completed or got stuck, and where → failure simulation — test with dropped webhooks and slow responses
small update but it changes how you debug API integrations.
we pushed a bunch of changes this week
workflows are way cleaner now
not just happy path… you can run failure cases too and see how things actually break
system guides you step by step instead of guessing from docs
also improved how agents + devs coordinate
simple prompts, point to integration files → more reliable outcomes
goal is simple
make integrating any api feel less like trial and error