APISyn

APIs change.
Apps break.

Someone changes an API your code depends on, and code that worked yesterday doesn't.

APISynQ detects the change, finds every affected app, and opens pull requests verified with your own tests.

Every number is real. Every source is linked.

2025→26

OpenAI deletes the entire Assistants API

AUG 26, 2026

The hard cutoff, happening now. Every integration on /v1/assistants must rearchitect. The replacement is a different architecture, not an endpoint swap.

AnnouncementMigration guide

2025

Salesforce · the actual error code

410 GONE

API versions 21 through 30, gone for good. Integrations died over a version string at a findable file:line.

Salesforce KBRelease note

2025→26

Claude model IDs retired in 12 months

11 models

Tabulated from Anthropic's own deprecation page, Jul 2025 to Jun 2026. OpenAI made 7 deprecation announcements in 2025.

derived from providers' deprecation pages

Anthropic deprecationsOpenAI deprecations

2025→26

Slack cuts third-party rate limits

50×

conversations.historywent from ~50 requests a minute to 1, per Slack's published limits. A contract change with zero code diff.

Slack changelog

2024

setuptools 72.0

up to 196

Packages failed overnight in Fedora Rawhide alone (Fedora's estimate) when setup.py test was removed. Announced years in advance.

setuptools #4519

2024

of API changes don't go smoothly

44%

Only 56% of API changes succeed with minimal issues; 5% of teams see failure rates above 25%. Postman State of the API 2024, 5,600+ respondents.

Postman 2024 (PDF)

2023

Reddit → Apollo · the canonical price tag

$20M /yr

At the developer's own published usage figures, Apollo owed roughly $20M a year. The app shut down.

TechCrunch

2023

OpenAI Codex API · shutdown notice

72 hours

Three days' notice before the Codex API went dark. OpenAI walked part of it back, but only after the backlash.

Simon Willison

None of these teams lacked good engineers. They lacked a system that knew who depended on what.

APISyn

Self-Maintaining APIs

When an API changes, we update every affected app.

Whether the API is yours or a provider's like Stripe, APISynQ detects the breaking change, finds the affected code down to file and line, opens fix PRs, and verifies them with your own tests.

change detectedimpact foundpr openedverified

How it works

From API change to verified pull request.

Detects breaking changes, finds affected code, opens PRs, verified with your own tests.

Detect

Every API you publish and every one you consume.

APISynQ watches your providers: external specs by polling, internal ones on publish.

Find

Breaking changes caught, affected code found.

Every diff is classified as breaking or safe, with affected call sites at file:line in every consumer. A repo that couldn't be scanned says so. It is never reported as safe.

Fix

Code changes generated for every affected app.

One migration PR per consumer, quoting the real call sites. Deprecations and adoptions alike.

Verify

Proven with your own tests. Verified pull requests.

Their CI. Their acceptance tests. Nothing is migrated until the verified pull request is green and merged. Then one number: time to all-green.

Both sides of the API

Producers

See who a change breaks before you publish. Gate the release until every affected consumer has a plan.

Consumers

Define what OK means. A 200 from the producer is not good enough: fixes verify against your real scenarios and test cases, with your collection, your data, your environment. Your definition of working, not theirs.

Anyone can buy a whistle. The referee matters because both teams accept the calls.

93% of teams struggle with API collaboration (Postman 2025).

The objection

"Can't AI build this?"

Fair question. Here is what a coding tool cannot do, no matter how good it gets:

1

It works in one repo. This problem lives in many.

Claude Code sees the code in front of it. An API change breaks code in ten other repositories, owned by other teams, sometimes other companies. Someone has to know they all exist.

2

It can write a fix. It cannot know who is affected.

To fix every consumer, you first need the map: who calls this API, from which file, in which app, in which environment. That map is built by scanning everyone's code and confirmed by both teams. No prompt produces it.

3

It can guess a fix is right. We prove it.

Our fix runs against the consumer's own tests, in their own pipeline, against the producer's new API, before a human ever reviews it. A green check from the customer's own CI is not something a chatbot can offer.

4

Nobody prompts at 3 a.m.

AI tools wait to be asked. Stripe does not wait. We watch every provider all the time, so the work starts the moment the change ships, not the moment someone notices.

5

Two sides have to agree.

A producer will not block a release, and a consumer will not merge a bot's PR, on a guess. Both need a system whose word they both accept. That trust is earned by being right, fix after fix. It cannot be downloaded.

6

Every fix makes the next one better.

Each fix that runs through APISynQ is recorded: what changed, what fixed it, whether it passed. That record grows with every customer. A tool starting from scratch starts from zero.

And here is the twist: AI writing more code means APIs change faster and break more.

AI is not our competition. It is our demand engine, and our workforce.

Built for agents

Agents don't browse portals. They call tools.

APISynQ ships as an MCP server. Your agents run the same workflow your team does, from API change to verified PR.

whats_changedwhat changed across the providers you depend on
affected_codethe affected code for a change, at file:line
open_fix_propens a fix PR for an affected consumer
sync_statuswho is green again, and who isn't yet

"89% of developers use AI, but only 24% design APIs for AI agents." 7.53M calls to AI APIs in 12 months, +40% YoY, Postman platform data (Postman 2025).