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Relaystation Data Rename
x402
Relaystation Data Rename is a paid API for AI agents from api.relaystation.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Renames columns in tabular data by mapping old column names to new ones, tidying schemas between pipeline steps.
Price / call$0.01
Success—
StatusUnknown
How this service works
$0.0002/MB. Rename columns by mapping — tidy schemas between pipeline steps. 1¢ x402 min; remainder auto-credits — relaystation.ai/penny
Output
Returns the input dataset with all specified columns renamed according to the provided mapping, preserving all data values and row structure while applying the new field names throughout.
Example use cases
ETL pipeline schema alignment
“I'm moving data from our legacy system to the new one and the column names don't match — can you rename 'cust_id' to 'customerId', 'addr' to 'address', and 'ph_num' to 'phoneNumber' in this dataset?”
Standardizing API response fields
“This API returns fields like 'usr_nm', 'pwd_hash', and 'acct_bal' but my downstream service expects 'username', 'passwordHash', and 'accountBalance' — please rename those columns in this data.”
Cleaning CSV headers before database import
“Before I import this CSV into Postgres, I need to rename the columns: 'Date Created' → 'created_at', 'Full Name' → 'full_name', and 'Phone #' → 'phone_number' — can you do that?”
Technical details
Endpoint
POSThttps://api.relaystation.ai/v1/data/renameWhen to prefer
Choose this endpoint when you need a lightweight, paid-per-MB column renaming step within a data pipeline and don't want to spin up a full ETL framework. Ideal for agents automating schema normalization between microservices, API integrations, or database migrations where column name mismatches are the only transformation needed. Well-suited for x402 micropayment workflows where you pay only for the data volume processed.
Side effects
- Column name in mapping not found in dataset — returns error indicating missing source column
- Invalid or malformed input data format — returns parsing error
- Empty or null mapping provided — returns unchanged data or validation error
- Data exceeds size limits — billing or truncation error
- Conflicting target column names (two sources mapped to same target) — returns schema conflict error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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