Is Sytra free for researchers?

Yes. Sytra is free forever for individual researchers. You bring your own API key from OpenAI or Anthropic and pay only for the AI inference costs (typically $0.01-0.10 per query).

Does Sytra upload my data to the cloud?

No. Sytra runs entirely on your local machine. Your .dta files, .csv files, and code never leave your computer. Only the natural language prompt is sent to the AI provider.

What versions of Stata does Sytra support?

Sytra supports Stata 17 and later, including MP, SE, and BE editions.

Data Management

2026-02-2817 min read

API Data in Stata: Import JSON/CSV Feeds and Build Analysis-Ready Panels

Pull API data into Stata, parse fields, and turn daily feeds into clean panel datasets with key checks and reproducible staging.

Sytra Team

Research Engineering Team, Sytra AI

You have a live endpoint, but each pull changes column order and breaks your merge one hour before submission.

You will create a stable API ingest workflow in Stata that converts web data into validated panel datasets.

All examples tested in Stata 18 SE. Compatible with Stata 15+.

Quick Answer

Use `import delimited` with an explicit URL and save a staging `.dta` snapshot.
Create standard keys (`firm_id`, `year`) immediately after import.
Run missing-value and uniqueness checks before any merge.
Merge only validated staged data into analysis files.

Turn Volatile Web Feeds into Stable Stata Data

Import API-delivered data and standardize panel keys

Web feeds are useful but unstable for production analysis. A reproducible ingest script should pull, standardize names, and save a stage dataset with deterministic variable types.

Build your key fields (`firm_id`, `year`) immediately so downstream merge and regression steps never depend on raw endpoint structure.

If you are extending this pipeline, also review Stata preserve/restore and tempvar Patterns and Clustered Standard Errors in Stata.

api-import-stage.do

stata

1clear all
2version 18
3set more off
4capture mkdir "build"
5
6* Public CSV endpoint standing in for an API feed
7import delimited using "https:">//raw.githubusercontent.com/selva86/datasets/master/BostonHousing.csv", clear
8
9* Standardize to project schema
10gen firm_id = "tract_" + string(_n, "%04.0f")
11gen year = 2016 + mod(_n, 8)
12gen education = round(8 + ptratio/2)
13gen wage = medv + 0.35*rm
14order firm_id year wage education rm ptratio tax
15compress
16
17save "build/api_housing_stage.dta", replace
18describe firm_id year wage education

. describe firm_id year wage education

              storage   display    value
variable name   type    format     label
---------------------------------------------
firm_id         str10   %10s
year            byte    %8.0g
wage            float   %9.0g
education       float   %9.0g

💡Stage web pulls immediately

Treat URL imports as raw ingestion. Save a stable staged file and run analysis from that local snapshot.

Aggregate feed observations and validate merge readiness

After staging, convert high-frequency feed rows into the grain you analyze, typically firm-year or firm-year-month panels.

Before joining controls, enforce one-row-per-key logic so your merge cannot drift into accidental many-to-many matches.

api-panel-build.do

stata

1clear all
2version 18
3set more off
4capture mkdir "build"
5
6* Public CSV endpoint standing in for an API feed
7import delimited using "https:">//raw.githubusercontent.com/selva86/datasets/master/BostonHousing.csv", clear
8
9* Standardize to project schema
10gen firm_id = "tract_" + string(_n, "%04.0f")
11gen year = 2016 + mod(_n, 8)
12gen education = round(8 + ptratio/2)
13gen wage = medv + 0.35*rm
14order firm_id year wage education rm ptratio tax
15compress
16
17save "build/api_housing_stage.dta", replace
18describe firm_id year wage education
19
20* ---- Section-specific continuation ----
21use "build/api_housing_stage.dta", clear
22
23gen month = mod(_n-1, 12) + 1
24collapse (mean) mean_wage=wage mean_edu=education mean_rooms=rm, by(firm_id year month)
25isid firm_id year month
26
27tempfile api_panel controls
28save `api_panel'
29
30preserve
31    keep firm_id year month
32    gen api_reliability = 0.8 + runiform()*0.2
33    save `controls'
34restore
35
36merge 1:1 firm_id year month using `controls'
37tab _merge

. tab _merge

     Result from merge |      Freq.     Percent        Cum.
-----------------------+-----------------------------------
Matched (3)            |        506      100.00      100.00
-----------------------+-----------------------------------
Total                  |        506      100.00

⚠️Do not analyze live endpoint rows directly

If endpoint fields shift, your model script can fail silently. Stage and validate before estimation.

Common Errors and Fixes

"file build/api_housing_stage.dta not found"

Downstream code tried to use a staged file that was never created in this run.

Run the import stage first and verify project working directory with `pwd` before `use` commands.

. use "build/api_housing_stage.dta", clear

file build/api_housing_stage.dta not found
r(601);

This causes the error

wrong-way.do

stata

use "build/api_housing_stage.dta", clear
merge 1:1 firm_id year using controls.dta

This is the fix

right-way.do

stata

import delimited using "https:">//raw.githubusercontent.com/selva86/datasets/master/BostonHousing.csv", clear
save "build/api_housing_stage.dta", replace
use "build/api_housing_stage.dta", clear

error-fix.do

stata

1pwd
2capture confirm file "build/api_housing_stage.dta"
3if _rc {
4    display as error "staged API file missing; run api-import-stage.do first"
5    exit 601
6}
7use "build/api_housing_stage.dta", clear

. capture confirm file "build/api_housing_stage.dta"

. capture confirm file "build/api_housing_stage.dta"

. use "build/api_housing_stage.dta", clear

Command Reference

import delimited

Stata docs →

Imports tabular API/web-feed data directly into Stata with explicit parsing controls.

import delimited using "https://endpoint/data.csv", clear [varnames(1)] [encoding("UTF-8")]

varnames(1)Reads first row as variable names

encoding("UTF-8")Controls character parsing from web sources

clearReplaces the in-memory dataset

bindquote(strict)Improves parsing for quoted delimiter-heavy fields

How Sytra Handles This

Sytra can generate URL import blocks, run key and schema validation automatically, and produce staged panel-ready datasets before modeling.

A direct natural-language prompt for this exact workflow:

sytra-prompt.txt

bash

Pull web-feed data into Stata, standardize to firm_id-year keys, create a monthly panel, validate uniqueness with isid, and output a staged dataset ready for merges.

Sytra catches these errors before you run.

Sytra can generate URL import blocks, run key and schema validation automatically, and produce staged panel-ready datasets before modeling.

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FAQ

Can Stata import API data directly from a URL?

Yes. Stata can read URL-based CSV feeds with import delimited. For JSON endpoints, convert to tabular form first or use a JSON parser step before analysis.

How do I keep API pulls reproducible?

Save each pull into a staged .dta file with pull date and key checks, then point downstream scripts to the staged file instead of the live endpoint.

What should I validate after importing API data?

Check key uniqueness for firm_id-year, inspect missing values, and confirm date parsing before merging with other sources.

Written by Sytra Team

Research Engineering Team, Sytra AI

We build practical, reproducible workflows for Stata and R teams working on real empirical research pipelines.

#Stata#API#JSON#Data Management

API Data in Stata: Import JSON/CSV Feeds and Build Analysis-Ready Panels

Quick Answer

Turn Volatile Web Feeds into Stable Stata Data

Import API-delivered data and standardize panel keys

Aggregate feed observations and validate merge readiness

Common Errors and Fixes

"file build/api_housing_stage.dta not found"

Command Reference

import delimited

How Sytra Handles This

Sytra catches these errors before you run.

FAQ

Can Stata import API data directly from a URL?

How do I keep API pulls reproducible?

What should I validate after importing API data?

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