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Early Access · Onboarding Design Partners

The compliance layer for
AI-generated ads & social content.

If your product uses AI to write ads or social posts, one wrong line can get your user's ad account suspended or their content taken down. AuditSocials gives you a real-time API that flags platform-policy and regulatory risk before your users publish — powered by the same engine that already tracks 8 platforms daily.

Policy coverage across 8 platforms + EU DSA enforcement

Meta logoMeta
TikTok logoTikTok
Google logoGoogle
YouTube logoYouTube
X logoX
LinkedIn logoLinkedIn
Snapchat logoSnapchat
Pinterest logoPinterest
The problem you inherit

AI writes the content. Your product owns the fallout.

AI ad and social generators ship content at scale with almost no awareness of what each platform allows right now. When a generated ad gets rejected — or worse, gets a user's account suspended — the blame lands on your product, not the model.

That means churn, support load, and growing regulatory exposure under the EU AI Act and DSA for the tools in the loop. Maintaining live, per-platform policy coverage is a full-time data operation you probably don't want to run — and exactly what AuditSocials already does.

AuditSocials
AuditSocials
Sponsored · AI-generated
+300%

Guaranteed 300% returns in 30 days — invest now!

No risk. Withdraw anytime.

Ad rejected — Unsubstantiated financial claim
Ad account flagged · campaign paused
How it works

One call in your pipeline —
content in, risk flags out.

A deterministic step between "AI generated it" and "your user publishes it." No model retraining, no policy team — just a check that returns structured risk.

Step 01

Send the content

Your backend POSTs the generated ad or post, the target platform, and the region to a single endpoint — inside your existing generation flow.

Step 02

We check it live

The content is evaluated against current platform ad policy and regulatory signals for that platform and market, using the daily-updated AuditSocials policy engine.

Step 03

You get risk flags

Back comes a structured response: risk level, the policy each flag maps to, and a fix suggestion — so your product can warn or auto-revise before publishing.

Returns REST API Structured JSON Risk score Rule citation MCP tool

Risk-flagging, not a guarantee. The API surfaces known policy risk and cites the rule behind it — it does not claim to predict or guarantee platform approval.

What you get

What you're embedding

Not a static rulebook. A live policy layer that stays current, cites its sources, and returns machine-readable risk your product can act on — without hiring a policy team.

Live, not static

Rules reflect what platforms publish now — the policy engine monitors official documentation daily and surfaces changes, so your checks don't rot.

Enforcement-aware

Beyond written policy, checks factor in real regulatory signals — EU DSA, FTC, Ofcom — so risk reflects what's actually being enforced, not just the rulebook.

Region-aware

The same content can be fine in one market and a violation in another. Checks are scoped to the region your user is publishing in.

Structured output

A predictable JSON response — risk level, mapped policy, and a fix suggestion per flag — easy to render in your UI or feed back into your model to auto-revise.

REST first, MCP optional

Integrate as a plain REST call in your pipeline. Agent-native product? The same capability is available as an MCP tool, no separate build.

Sourced & defensible

Every flag traces to a specific rule, and enforcement data carries required attribution — a defensible trail, not a black-box verdict.

POST /v1/check
Request
{
  "content": "Guaranteed 300% returns…",
  "platform": "meta",
  "region": "US"
}
200 · Response
{
  "risk": "high",
  "flags": [{
    "rule": "Unsubstantiated claims",
    "fix":  "Remove absolute return figures"
  }]
}
Drop-in layer

Built to sit inside your product.

If your users generate content that ends up on ad platforms or social feeds, a compliance layer is a feature you can ship without becoming a policy company. One call in, structured risk out.

  • AI ad-creative & ad-copy generators
  • Social media scheduling tools with AI post generation
  • Marketing copy & campaign automation platforms
  • Agency-facing automation producing client content at scale

The gain:ship "compliance-safe" as a differentiator, cut policy-driven support tickets, and keep your users' accounts alive — without hiring a policy team.

Onboarding a small group of design partners

The API is in active development. We're working with a handful of AI content and ad tools to shape the endpoints, response format, and pricing — design partners get founder-level pricing and direct input. If policy risk in your generated content is a real problem for you, email us and tell us what you're building.

Email us
FAQ

Frequently Asked Questions

What is the AuditSocials compliance API?
It is a REST API that checks a piece of ad or social-media content against current platform advertising policies and regulatory obligations, then returns structured policy-risk flags and fix suggestions. It is built to be embedded in the background of AI content- and ad-generation tools, so the content those tools produce is checked for policy risk before a user publishes it.
Is the API live yet?
Not publicly. The API is in active development and we are onboarding a small group of design partners who help shape the endpoints, response format, and pricing before general availability. The underlying policy engine — the AuditSocials Policy Tracker and enforcement layer — is already live and running daily across 8 platforms and EU DSA enforcement data.
How does it integrate — REST API or MCP?
The core is a simple REST API: your backend sends content in and receives policy-risk flags back, as a deterministic step in your generation pipeline. For products built as AI agents, the same API is also exposed as an optional Model Context Protocol (MCP) server, so an agent can call it as a tool. Most integrations use the REST API; MCP is an add-on, not a requirement.
Which platforms and rules does it cover?
Advertising and content policies across eight platforms — Meta (Facebook and Instagram), TikTok, Google Ads, YouTube, X, LinkedIn, Snapchat, and Pinterest — plus regulatory signals such as EU DSA enforcement, FTC, and Ofcom actions. Coverage is region-aware, so a check reflects the markets your users publish in.
Is this a compliance guarantee?
No. It is a risk-flagging layer, not a guarantee that content will be approved. Platform review is opaque and changes constantly; the API surfaces known policy risk and cites the rule behind each flag so your users can make an informed decision. We deliberately do not claim to predict or guarantee approval.
How will pricing work?
The core is a usage-based API (priced per check), with volume tiers for high-throughput products and OEM licensing for embedding at scale. Design partners get founder-level pricing and input into the model before it is finalized. There is no public price yet because the API is pre-launch.
What data powers the checks?
The AuditSocials policy engine, which monitors official platform policy documentation daily and ingests regulatory enforcement data (including the EU DSA Transparency Database). Every flag is traceable to a source rule, and enforcement data carries its required attribution. It is the same intelligence layer behind the AuditSocials Policy Tracker.

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