Any agent
Any stack
One clean data layer
Built your own agent? Connect any agent framework to your full marketing data platform and give it lasting memory of everything your team has taught it.
Anything off overnight?
{
"run_id": "r_8f2ac41",
"accounts_scanned": 52,
"window": "24h",
"threshold_sigma": 2.5,
"anomalies": 3,
"top": { "account": "US-Search-Brand", "delta_spend": "+XX.X%" },
"auto_pause": false,
"approval_ceiling_usd": 500,
"memory": "knowledge graph",
"duration_ms": 412
}







From framework to production in three steps
Connect once, ask in plain English, and your agent keeps everything your team taught it - on whatever framework you build with.
Connect
SETUPConnect your agent to Improvado once - secure access is granted at onboarding, no keys pasted into your code.
Set up once at onboarding - nothing for your team to install or maintain.
Ask anything
ASKYour agent pulls from any connected source in one ask - no per-platform integrations to build or maintain.
412 ms median answer · every number source-cited · saved to shared memory
A live answer from your connected data.
It remembers
MEMORYYour agent keeps long-term memory - it saves what it learns and recalls it in every later run, shared across your team.
- CAC target $XXXset by your team
- Your naminglearned on run 1
- Past findings52 accounts watched
Saved to your team's shared memory.
See the technical setupThe exact commands, queries & scheduling - for your engineers and AI agents
# 1 - Show setup command
{
"mcpServers": {
"improvado": {
"url": "https://mcp.improvado.io/v1"
}
}
}
# 2 - See the request
POST /v1/query { agent, scope: "all_accounts" }
200 OK · 52 accounts scanned · 3 anomalies
top: US-Search-Brand · +38.4% spend
$ status: ok · latency 340ms
# 3 - See what’s stored
mcp.memory.write("cac_target", $XXX)
recalled next run · persisted across sessions
graph: 214 nodes · shared across agents
$ status: ok · ttl 30dShow me what a custom agent does for spend anomalies
One connection to all your data - pick a use case to see what a custom agent delivers.
The data layer every custom agent needs
Skip the integration grind - your agent gets every channel, clean and governed, on day one.
Works with any framework
Works with whatever framework you build on - no proprietary lock-in.
Cross-agent memory
A shared memory gives your agent the context other agents and your team already built.
One clean format, every channel
1,000+ connectors become one clean, consistent format - so your agent works on the data, not the plumbing.
See the raw-to-clean field mapping
1,000+ connectors in one clean format
Per-agent access control
Enterprise controls per agent, per data source - least privilege by default.
24/7 operation
Agents run on schedules or triggers against always-current data.
Minutes to your first answer, not a data project
Point any agent framework at Improvado and it reads your live marketing data the same day - no point-to-point integrations to build or maintain.
Ask on day one. The data-engineering project that used to sit between you and an answer is already done.
Every ad platform, your CRM, and your warehouse arrive as one clean set of numbers - not 500 exports to reconcile.
Governed access and one clean, consistent data source mean your agent's answer matches what your BI team would hand you.
See the full technical comparisonHow this compares to wiring up each platform yourself
| Dimension | Raw platform APIs | With Improvado MCP governed |
|---|---|---|
| Authentication | Separate OAuth per platform | One secure connection |
| Schema | Schema drift, you own the mapping | Unified schema across channels |
| Memory | No memory between agent runs | Persistent knowledge graph |
| Credentials | Keys live in prompts and configs | Zero credentials in the agent |
| Rate limits | Per-API limits, self-managed | One governed access layer |
| Time to ship | Weeks per new platform | Minutes to add a source |
| Dependency | N direct integrations you maintain and control | One governed endpoint - a single vendor dependency, by design |
One governed layer between your agent and your entire stack
Switch AI tools whenever you want. Your data, access rules, and team memory stay put. Click a product below to see how it connects.
Switch agents. Keep your data. Keep your memory
Your custom agent connects the same clean way - any framework, zero per-platform plumbing.
For engineers & AI agentsThe MCP contract, endpoints, and how memory persists across agents
# 1 - One connection, declared once
{
"mcpServers": {
"improvado": {
"url": "https://mcp.improvado.io/v1",
"auth": "oauth"
}
}
}
# 2 - Scopes - role-based, read-only by default
# read:spend
# read:crm
# read:attribution
# write:memory
# 3 - Shared memory - survives an agent switch
# persisted in the governed knowledge graph
# versioned
# every agent reads the same nodesBuilt for non-negotiable enterprise compliance requirements
Your agent inherits the workspace policy - read-only by default, writes capped and reversible, and every decision logged with the seat that made it. every agent query logged, role-scoped, in transit and at rest - zero raw credentials.
For engineers & AI agentsThe live compliance console - query, token, role-check, audit-export events
Improvado powers our data views every single day. It's a pulse check on business performance that enables our clients to make smarter, strategic decisions on budgeting, sales forecasting, and assess marketing's impact on their businesses.
Common questions
Everything teams ask before wiring their first custom agent to Improvado.
Which frameworks are compatible?+
Can I see the raw request and response my agent sends?+
Can I control exactly what my agent sees?+
Is my data safe?+
What is MCP?+
How long does setup take?+
Building with a different agent stack?
Let's connect your agent to real data
Bring your own framework - we'll show your live data, the results, and the run, live, in twenty minutes.
