Marketplace
One hub. Every building block.
Marketplace lists every component a modern data and AI strategy needs — data, skills, connectors, providers, packages, and workflows — typed, versioned, and ready to install. Pick the parts. Compose the work. Run it wherever your team builds.
Data and AI work shouldn’t force a trade-off
Single-category marketplaces sell access and stop there. Vertical AI platforms bundle every layer and lock the stack. DIY stacks rebuild the same plumbing every time. The build cost stays high — and architectural freedom stays low.
Single-category marketplaces stop at sale
Buying data is just the start. Connecting it to a harness, a model, or a workflow is still a custom project.
Vertical platforms lock the stack
Model, harness, agents — bundled. Swapping any layer means leaving the platform.
DIY stacks reinvent the plumbing
Open source gives flexibility, but every team rebuilds the same components from scratch.
When every building block is a click away
Here’s what work looks like when the components are listed, typed, and ready to install.
Compose end-to-end
Snap data, skills, connectors, providers, packages, and workflows together. One step’s output feeds the next with no glue code required.
Bring your own everything
Your cloud, your harness, your model. Components plug into the stack you already run.
Skills that travel
MCP-native skills run inside Narrative, inside Claude, or any AI tool your team already uses.
Buy, sell, or exchange
Source what you need, publish what you have — governed by the same Access Rules end to end.
Stop rebuilding what should already exist
Ready for deployment inside your cloud, with every contract, every rule, and every control already wired in.
Components that snap together
Data, skills, connectors, and workflows are listed with the types they accept and produce — so one step's output feeds the next without glue code or custom integration work.
Install once. Run anywhere.
Skills are MCP-native, so the same component runs inside Narrative, inside Claude, or inside any MCP-compatible runtime your team already operates.
A marketplace that goes both ways
Source what you need, publish what you have, exchange the rest — all governed by the same Access Rules and the same contracts on every side of the transaction.
How it works
From browsing to building in a few steps.
Shop the Marketplace by component type and see how the pieces fit. Chain components end-to-end and use it wherever you work.
Different categories, one hub
Data, skills, connectors, providers, packages, and workflows — listed, typed, versioned, and queryable under one Listings API, with media, availability, and bundle relationships in-line.
Marketplace of providers
Source the exact raw data your use case requires — governed, normalized, and ready to query.
Unified contracts + Access Rules
Buy or monetize on your own terms. Access Rules manage every transaction, governed and tracked end to end — so procurement drag disappears, and so does monetization drag.
AI-Ready
The same skill runs inside Narrative, inside Claude, or in any MCP-compatible harness your team already uses. Install once. Run anywhere.
One marketplace. Every side of the work.
Three ways to put Marketplace to work — whether you’re composing the stack, publishing into it, or operating it for clients.
For data and AI leaders
Stop choosing between flexibility and leverage.
Compose the stack you need from listed, typed, versioned components — without committing to one vendor’s harness, model, or cloud. Every component is there to pick up, snap into your workflow, and swap when something better lands.
For buyers
Source the attributes, skip the bulk license.
Find the exact raw data, skills and connectors your use case requires. Activate it against your own data inside your cloud — no procurement lag, no engineering ticket, no big commitment before the use case proves out.
For sellers
Monetize on your own terms.
Package your data by attribute, set the rules that govern how it’s used, and earn without shipping a single row. Access Rules enforce your pricing, usage rights, and retention at the query layer. You keep the source, buyers get the signal, and the revenue model stays yours.
Marketplace Truths: The Principles Behind Composable Data & AI Work
- Composability beats integration.
- Install beats build
- Open standards beat lock-in
- A marketplace should go both ways.
Composability beats integration.
Marketplace lists every component independently under one Listings API, so you can swap the model, change the harness, or move clouds without re-platforming.
Install beats build.
Single-category marketplaces sell access and stop there. DIY open-source stacks rebuild the same plumbing every time. Our Marketplace closes the gap: components are typed, versioned, and listed with what they pair with — so the assembly happens before you commit, not after.
Open standards beat lock-in.
Skills are MCP-native. A skill listed in Marketplace runs inside Narrative’s tool-calling harness, inside Claude via the Claude Skills Marketplace, and inside any other MCP-compatible runtime. The model layer is versioned separately, so swapping LLMs doesn’t mean rewriting skills.
A marketplace should go both ways.
Most “marketplaces” only let you buy. Marketplace lets you source, publish, and exchange, governed by the same Access Rules, the same contracts, the same cloud.
Proven results
Composable. Every component.
6 component categories in one hub
30+ providers in one marketplace
100% MCP-native, runtime-portable, governed at the query layer
Reach without compromise
“Partnering with Narrative.io has empowered us to seamlessly scale our offerings across diverse social platforms. Ultimately, this collaboration has been key to achieving our objective: engaging with our customers exactly where they are."
Dennis O'Donnell, Head of Ad Product, The Weather Company
“Traditional commerce media models often expose brands to unnecessary privacy risks by moving data into third-party environments. Our work with Narrative eliminates that risk while unlocking sophisticated audience-building capabilities that deliver real outcomes.”
Marni Schpario, Block
Ask Us Anything
How long does it take to see value?
Most teams are normalizing live data within days of connecting their first sources — not months. There's no multi-quarter implementation, no professional services dependency, no bespoke build required.
How is Narrative different from my data warehouse or CDP?
Your warehouse stores data. Your CDP activates it. Narrative normalizes it — resolving the semantic inconsistencies that make data from different sources incompatible before it ever reaches those tools.
Why not build a normalization layer in-house?
Most teams do, at first. The problem isn't the initial build — it's everything after. Every partner schema change breaks it. Every new data source requires rebuilding it. The engineering debt compounds faster than the business value accrues.
We already have tools for data sharing and activation. Where does Narrative fit?
Those tools move data and act on it. They don't normalize it. They're built on the assumption that the data arriving is already clean, consistent, and semantically coherent — and in most real-world data partnerships, it isn't.
Who is Narrative built for?
Data and analytics teams at companies where external data is a core business input — not a supplement. Typically organizations that are buying data at scale, monetizing their own data assets, or running structured data partnerships with other companies.
Why does data normalization matter more now that AI is involved?
AI models don't tolerate inconsistency. When a "user" in one dataset isn't recognized as the same "user" in another — different schemas, different taxonomies, different identifiers — your models train on noise and your outputs reflect it.