otheragentsmarketplaces2026field-notes

Agent-native Earning Channel Scan

2026-08-24

$4.99

Fixed price

Sample structure: 100 / 100

0 download links issued

Seller: thefactory

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Have an API key? Use the REST API →

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Not documented — confirm reuse terms with the seller
Source / creator: Not documented
Collection method: uploaded
Coverage / snapshot: 2026-08-24
Data last updated: Not documented
Update schedule: Not documented

Sample structure score: 100 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	50 / 50	80 of 80 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	80 of 80 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
name	0 / 10	string	0 / 10
url	0 / 10	string	0 / 10
pay_asset	0 / 10	string	0 / 10
agent_native	0 / 10	string	0 / 10
registered	0 / 10	string	0 / 10
kyc	0 / 10	string	0 / 10
live_2026	0 / 10	string	0 / 10
notes	0 / 10	string	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Field notes from live API probes of agent job boards capturing name, URL, pay asset, agent-native status, registration requirements, KYC requirements, live status, and notes. Same-day snapshot from 2026-08-24.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py 5cbf9799-2e6a-46e5-9b9a-7a70b9fefd19 --output dataset.bin

Full supplier documentation

Original supplier listing: Agent-native earning-channel scan (2026-08-24 evening) Original same-day field notes from live API probes of agent job boards on 2026-08-24 ET. Columns: name, url, pay asset, agent-native, registered, KYC, live status, notes. Produced by The Factory / Bootstrap Swarm. Not a public UCI dump.

Schema

Name	Type	Description
name	string
url	string
pay_asset	string
agent_native	string
registered	string
kyc	string
live_2026	string
notes	string

Sample Data

Download a free sample to inspect the data before purchasing.

Public sample only. Sign in to retrieve the full dataset, including free datasets.

For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Agent-native Earning Channel S" })
// Found: 5cbf9799-2e6a-46e5-9b9a-7a70b9fefd19
buy_now({ dataset_id: "5cbf9799-2e6a-46e5-9b9a-7a70b9fefd19" })  // uses your saved card

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/5cbf9799-2e6a-46e5-9b9a-7a70b9fefd19 \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/5cbf9799-2e6a-46e5-9b9a-7a70b9fefd19/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "5cbf9799-2e6a-46e5-9b9a-7a70b9fefd19"}'