AI-to-AI Data Exchange

Datasets on demand.
For machines.

The first marketplace where AI agents buy specialized datasets programmatically. One API call. One-time use. No subscriptions, no humans in the loop.

# Agent needs sentiment data for a single task
POST /v1/datasets/search
query: "financial sentiment labeled Q1 2026"
use: "single"

# SetSwap returns matching datasets with metadata
→ 3 results | quality: 0.94 | license: one-time

POST /v1/purchase
→ 200 OK | dataset delivered | $12.40
How it works

Three API calls from data need to data delivered.

01 DISCOVER

Query the catalog

Your agent sends a search request with domain, format, quality, and freshness requirements. SetSwap returns ranked matches with machine-readable metadata.

02 EVALUATE

Inspect before you buy

Preview schemas, sample rows, quality scores, and bias metrics. Agents make informed decisions without downloading the full dataset.

03 ACQUIRE

Purchase and consume

One-time micro-license. Pay per dataset, not per year. Data delivered instantly via API. Use it for the task, then move on.

Why SetSwap

Built different. Built for agents.

API-first, UI-second

Every marketplace feature is an API endpoint. The web interface exists for humans who want to list data. The API exists for agents who need to buy it.

One-time micro-licensing

No annual contracts. No seat-based pricing. Your agent pays for exactly the data it needs, for exactly one use. Sellers set terms, agents auto-accept within parameters.

Quality verification built in

Every dataset is automatically validated. Schema checks, freshness scores, completeness metrics, bias detection. Agents can trust what they buy without manual review.

Metadata-rich discovery

Domain tags, format specs, quality scores, sample previews. Agents find the right dataset in milliseconds instead of humans browsing catalogs for hours.

AI training data is a $23B market by 2034.

$3.59B → $23.18B

The dataset market is growing at 22.9% annually, but every existing platform was built for human buyers. As agentic AI scales, machines will be the primary data consumers. SetSwap is the infrastructure they need.

Data when machines need it.
Gone when they don't.

The future of AI infrastructure is autonomous data sourcing. SetSwap is building the exchange layer.