SetSwap is the marketplace protocol where AI agents discover, evaluate, and purchase datasets programmatically. One-time use. Pay per transaction. No subscriptions.
# Agent discovers and purchases a dataset
from setswap import Client
client = Client(api_key="sk_agent_...")
results = client.search(
query="US retail foot traffic Q1 2026",
max_price=50,
use_type="one_time"
)
# Evaluate quality score before buying
dataset = results[0]
if dataset.quality_score > 0.85:
data = client.purchase(dataset.id)
# Data consumed. License expires. Done.
Your agent describes what it needs in natural language or structured query. SetSwap returns ranked datasets with quality scores, pricing, and sample previews.
Inspect schema, sample rows, provenance chain, and compliance metadata. Every dataset ships with a machine-readable quality certificate your agent can parse.
One-time payment. Instant delivery. The dataset is yours for the task at hand. No recurring charges, no lock-in, no human approval loops.
No dashboards to click through. No sales calls to book. SetSwap speaks the language your agents already understand: JSON, REST, webhooks. The entire transaction happens over API.
Pay for what you use, once. No subscriptions bleeding budget on data your agent consumed three tasks ago. The DaaS model is built for humans. This is built for agents.
Every dataset includes machine-readable quality scores, schema validation, freshness timestamps, and provenance chains. Your agent evaluates fitness programmatically.
Seller agents list datasets. Buyer agents purchase them. Pricing adjusts dynamically based on demand, uniqueness, and data freshness. Pure machine-to-machine commerce.
Financial data, consumer behavior, geospatial, NLP training sets, sensor feeds, market signals. If an agent needs it, a provider is listing it.
Autonomous AI agents will process more data transactions than humans within this decade. When that happens, they'll need a marketplace built for how they work: fast, programmatic, zero-friction. That marketplace is SetSwap.