01
AI Assistant
Ask questions in natural language, such as which topics are rising, which creators fit a niche or what audience patterns matter.
SOCIAL DATA INFRASTRUCTURE
Bring social data into your product.
Query accounts, content, comments, and trends through one interface. Validate in the workspace, then connect with the API.
Includes 100 trial requests
Est. cost $0.03
Results3 results found
#AccountFollowersGrowthFocus
1
1.2M+214%Travel / City guides
@travel.with.ella
Ella | Travel
2
892K+176%Commerce / Product reviews
@shop.with.nina
Nina | Commerce
3
643K+152%Finance / Market insights
@finance.with.leo
Leo | Finance
API responseJSONcURL
1
{2
"total": 3,3
"data": [4
{5
"id": "7453298823749918721",6
"username": "travel.with.ella",7
"display_name": "Ella | Travel",8
"followers": 1200000,9
"growth_rate": 2.14,10
"category": "travel",11
"platform": "tiktok"12
}13
]14
}
TikTok
Instagram
YouTube
X
Douyin
Bilibili
WeChatDifferent platforms. One query model.
Use the same starting point for accounts, content, and trends across platforms.
AI data integration
Connect AI agents to on-demand social data
Use governed MCP tools and one API layer to bring multi-platform signals into RAG, copilots, automated workflows and data-powered SaaS.
MCP / JSON-RPC
One governed entry point for current query results
Discover registered tools first, then call public APIs through those tools while authentication, billing and usage records follow the platform contract.
POST https://api.trmesh.com/mcp
Content-Type: application/json
{
"jsonrpc": "2.0",
"id": "trmesh-demo",
"method": "tools/list"
}tools/list only discovers tools. Actual tools/call requests pass the developer API key as a tool argument.
MCP tool calling
Let MCP-compatible clients discover and call registered TrMesh tools through governed social-data queries.
External context for RAG
Feed on-demand trend, account, content and comment signals into retrieval pipelines. Data freshness follows each endpoint's documentation.
AI agents
Build research, monitoring, content and growth agents that use real data within explicit permission and cost boundaries.
Data-powered SaaS
Embed multi-platform social-data capabilities into analytics, CRMs, vertical applications and customer workspaces without maintaining collection infrastructure.
Every call still passes through identity controls, Billing, Usage, audit and UpstreamGateway. AI integration does not bypass platform governance.
Core capabilities
Designed around customer workflows, not internal platform jargon
From natural-language questions to structured API access and result shaping, the product is built to feel closer to how commercial teams actually work.
02
Combined Query
Blend filters across platforms and conditions into one research workflow.
03
API Access
Connect data into CRMs, internal dashboards, automations or product features.
04
Result Shaping
Turn raw responses into outputs that are easier for business teams to review and act on.
05
Usage & Cost Visibility
Understand which workflows matter most and where usage is being consumed.
06
Account Governance
Review tokens, usage, balance, and permission-related information in one workspace.
Use cases
One data layer for different business decisions
Validate the data for travel trends, commerce research, and financial market insight before integrating repeatable workflows.
How teams get started
Start with the business question, not the system vocabulary
01
Review public capabilities
Check supported platforms, data directions and examples to confirm fit.
02
Use trial quota
Validate lead generation, topic analysis, creator screening or audience research with real requests.
03
Repeat what works
Turn useful query patterns into repeatable workflows for the team.
04
Integrate into operations
Once validated, connect the data into reports, automations or internal systems.
Scenario preview
Closer to how commercial teams actually work
Start with querying, filtering, and reviewing results, then move into API integration and usage management when needed.
01
Export sales prospecting
Find likely customer accounts, market examples or partnership targets by region, style and activity.
Discover leadsFilter accountsAnalyze trendsOrganize results
02
Topic trend analysis
Track rising themes, engagement shifts and content directions for planning and campaign decisions.
Discover leadsFilter accountsAnalyze trendsOrganize results
03
Audience research
Study user interests, engagement habits and content preferences to support sharper messaging.
Discover leadsFilter accountsAnalyze trendsOrganize results
Refer qualified customers to TRMesh and earn tracked wallet rewards
Referral rewards fit growth consultants, developer communities and industry partners. Eligible recharge events are rewarded according to the current configured rules and released to the wallet after the configured hold period and release checks.
Docs
Docs and examples stay aligned with real capabilities
Developers can start from the API docs directly, while business teams can use examples to understand what kinds of questions the data can answer.
Public docs for fast evaluation
cURL / JavaScript / Python examples
Scenario-based explanation of requests and outputs
FAQ
Three questions customers ask first
Who is this for?
Export sales teams, market researchers, creator teams, content strategists, brand analysts and data product teams can all benefit.
What can I use it for?
Common use cases include prospect discovery, trend tracking, competitor analysis, creator screening, audience research and content planning.
What can I validate during the trial?
You can validate platform coverage, response format, query experience and whether the data truly supports your workflow.