Solution for AI builders
Feed your AI agent clean data from every supplier
Your agent is only as good as the inventory behind it. FileFeed pulls inventory, catalog, and pricing data from each source your customers use, normalizes it to one schema, and keeps it in sync automatically.
An agent reasoning over messy data is an agent that hallucinates
Teams building AI agents hit the same wall. Every supplier sends data in their own format, with different column names, units, date formats, and enums. Pipe that inconsistency straight into a model and the agent invents fields, misreads prices, and returns answers you cannot trust. The hard part of an agent is not the prompt. It is the data layer underneath it.
One schema, every source
FileFeed is the data layer between your suppliers and your agent
Point FileFeed at every source your customers use. It ingests each file, maps it to your schema with AI, validates it, and delivers clean structured data your agent can ground on. You define the schema once and every feed lands in that shape.
- Pull from SFTP, API, email, cloud storage, or upload, on a schedule or on demand
- Map inconsistent supplier exports to one schema with AI field mapping
- Validate every row so the agent never reasons over broken data
- Deliver clean JSON to your agent via webhook, REST API, or MCP server
How the agent gets its data
Webhook on every update
When a new supplier file lands, FileFeed validates it and pushes the normalized rows to your agent's backend in real time.
REST API and MCP server
The agent can retrieve normalized, validated data on demand through the REST API or the open-source FileFeed MCP server.
Always current, always valid
Schema drift alerts and validation catch broken feeds before they reach the agent, so answers stay grounded on good data.
Where teams use it
Agents that run on FileFeed feeds
Booking agents
A travel booking agent needs live hotel inventory from every booking service its customers connect. FileFeed pulls each provider feed, normalizes property names, rates, and availability to one schema, and keeps the agent grounded on current data.
Shopping and commerce agents
A shopping agent reasons over product catalogs from dozens of merchants, each exporting in their own format. FileFeed maps titles, SKUs, prices, and stock into a single catalog the agent can search reliably.
Operations copilots
An internal copilot answers questions across supplier files, partner exports, and ERP dumps. FileFeed turns that pile of formats into one clean dataset the copilot can query without guessing.
Questions
Syncing supplier data into an AI agent
How do I sync inventory data from many suppliers into one AI agent?
FileFeed connects to each supplier source (SFTP, API, email, or upload), ingests their inventory or catalog file in whatever format they send, maps every field to a single shared schema, validates it, and delivers clean structured JSON to your agent through a webhook or API. You define the schema once and every supplier feed lands in that shape, no matter how their export looks.
Why not just feed raw supplier files straight into the AI agent?
Raw supplier files use inconsistent column names, date formats, units, and enums. An agent reasoning over that inconsistency produces unreliable answers and hallucinates fields that do not exist. FileFeed normalizes every source to one schema and validates it before the agent ever sees it, so the agent reasons over clean, predictable data.
How is this different from a CSV importer like Flatfile or OneSchema?
Embeddable importers such as Flatfile, OneSchema, and Dromo are built for a human to upload a file inside an app. Agent data feeds are recurring, automated, and multi-source. FileFeed runs scheduled pipelines that pull from every supplier without a human in the loop, which is what an always-on agent needs.
Can the agent call FileFeed directly?
Yes. FileFeed exposes a REST API and an open-source MCP server, so an agent can retrieve normalized, validated data on demand or receive it through webhooks as soon as a new supplier file arrives.
What data formats can suppliers send?
CSV, Excel, XML, JSON, fixed-width, and EDI. FileFeed detects the format, maps the fields, and normalizes the values regardless of how each supplier structures their export.