Developer and app review
API integrations typically go through developer and app-review processes, with detailed information about the integration and how the requested products and scopes are used.
Connect once. Then ask your AI.
Connect your accounts. The history those platforms make available comes back in one structure. Then ask your AI, or call one API.
Step 1
Connect your accounts
Authorize that company’s accounts through each platform’s own OAuth consent screen. The connection is read-only: performance metrics only, never publish or messaging access.
One company per account across connected platforms
Access tokens encrypted at rest; revoke anytime
No scraping, no shared passwords, no posting rights
Step 2
Start with the history you already have
You don’t start collecting the day you connect. The platforms often expose more history than a dashboard shows on first look. That history is retained, and useful metrics are already calculated, so your AI does not have to interpret raw responses.
Historical data retained as part of the product
Engagement, discovery, retention, and outlier metrics pre-calculated
Daily snapshots keep the payload current after the first sync
Step 3
Ask your AI, or call one API
Generate a workspace-scoped API key for your application, n8n, or any HTTP client. Connect Claude, ChatGPT, Gemini, or Cursor through MCP. Same structured data, whichever client you use.
API is the core product, not an add-on
MCP for AI clients; REST for developers and automations
You keep your prompts, workflows, and application logic
You could build all of this yourself.
You probably shouldn’t. The platform APIs are available. Using them means reviews, tokens, pagination, mismatched schemas, and change, separately for every platform. That time can go into the product instead.
Access and reviews
Developer accounts and applications per platform
OAuth, scopes, and permission configuration
App reviews, privacy policies, terms, and domain or redirect verification
Auth and operations
Access tokens and reauthorization
Pagination and rate limits
Separate handling for every platform
Data model
Different schemas and metric definitions
Retrieve and retain historical data
Normalize platforms and calculate metrics the APIs do not provide
Ongoing change
Permissions, endpoints, and review requirements change
Metric definitions shift as platforms ship and deprecate features
We own that maintenance as part of the data layer
Business accounts and access tiers
Some platforms require a business account and app approval for API access, with additional review when moving from limited trial access to standard access.
If you integrate directly
Your application owns each platform integration
OAuth, app reviews, and permissions per platform
Rate limits, pagination, and token management
API changes and mismatched schemas
If you connect MySoMeData
Your application talks to one interface
You skip authentication, retrieval, and normalization
The platforms stay behind the data layer
The work does not stop at launch. Social APIs, permissions, scopes, and metric definitions change. If you integrate directly, that work stays on your team. If you connect MySoMeData, it stays in the data layer. One interface. One integration. One data model.
You build the experience. The social data infrastructure is already handled.
Manage social media, or build with the data
If you are looking to manage social media, you need a management platform. If you are building with your social data, you need a data layer.
Primary purpose
A management platform
Social media management.
MySoMeData
The read-only social data layer for AI.
Analytics
A management platform
Yes.
MySoMeData
Yes.
Historical data
A management platform
Yes.
MySoMeData
Yes. You get the history those platforms make available, ready to analyze, rather than an arbitrary dashboard window.
API
A management platform
Sometimes included, so the dashboard can be extended.
MySoMeData
Core product.
MCP
A management platform
Not what the platform is for.
MySoMeData
Yes. Your AI reads the same data.
Publishing
A management platform
Yes.
MySoMeData
No. Deliberately outside the product.
Scheduling
A management platform
Yes.
MySoMeData
No. Deliberately outside the product.
Social inbox
A management platform
Yes.
MySoMeData
No. Deliberately outside the product.
AI posting
A management platform
Yes. Management-oriented.
MySoMeData
No. Read, don’t act.
Read-only architecture
A management platform
No.
MySoMeData
Yes. AI gets data, not control of your accounts.
AI-ready normalization
A management platform
Part of the platform.
MySoMeData
Core product.
Developer-first
A management platform
Secondary.
MySoMeData
Primary. You build the intelligence.
With a management platform you get tools to manage your presence. With MySoMeData you get the data to build your own tools.
Questions about getting started
Practical answers for the path from a read-only connection to an API and MCP feed.
You already use AI. Give it your social data.
Connect your accounts once. Start with the history those platforms make available, then ask your AI or call one API.
Connect your data
No posting permissions. Disconnect anytime.