autocomplete: Suggest paper query completions

API: semanticscholar.org:semantic-scholar-api
Endpoint: /paper/autocomplete
Response format: application/json
Auth: unknown
Method: GET
Last Status: 200
Latency: 606ms

Description

To support interactive query-completion, return minimal information about papers matching a partial query Example: <code>https://api.semanticscholar.org/graph/v1/paper/autocomplete?query=semanti</code>

Parameters (1)

query (string, query, required)

Plain-text partial query string. Will be truncated to first 100 characters.

Examples (3)

Autocomplete for 'machine learning' curl

curl 'https://api.semanticscholar.org/graph/v1/paper/autocomplete?query=machine+learning'

import requests

resp = requests.get(
    "https://api.semanticscholar.org/graph/v1/paper/autocomplete",
    params={
        'query': 'machine learning',
    },
)
data = resp.json()

import zingu_apis

api = zingu_apis.api("semanticscholar")
result = api.fetch("paper/autocomplete", query="machine learning")

for item in result:
    print(item)

const resp = await fetch("https://api.semanticscholar.org/graph/v1/paper/autocomplete?query=machine+learning");
const data = await resp.json();

Truncate

Auto Table Raw

Autocomplete for partial query 'neural' curl

curl 'https://api.semanticscholar.org/graph/v1/paper/autocomplete?query=neural'

import requests

resp = requests.get(
    "https://api.semanticscholar.org/graph/v1/paper/autocomplete",
    params={
        'query': 'neural',
    },
)
data = resp.json()

import zingu_apis

api = zingu_apis.api("semanticscholar")
result = api.fetch("paper/autocomplete", query="neural")

for item in result:
    print(item)

const resp = await fetch("https://api.semanticscholar.org/graph/v1/paper/autocomplete?query=neural");
const data = await resp.json();

Truncate

Auto Table Raw

Autocomplete for 'transformer architecture' curl

curl 'https://api.semanticscholar.org/graph/v1/paper/autocomplete?query=transformer+architecture'

import requests

resp = requests.get(
    "https://api.semanticscholar.org/graph/v1/paper/autocomplete",
    params={
        'query': 'transformer architecture',
    },
)
data = resp.json()

import zingu_apis

api = zingu_apis.api("semanticscholar")
result = api.fetch("paper/autocomplete", query="transformer architecture")

for item in result:
    print(item)

const resp = await fetch("https://api.semanticscholar.org/graph/v1/paper/autocomplete?query=transformer+architecture");
const data = await resp.json();

Truncate

Auto Table Raw

Probe History

Latency

Status Codes

Time	Status	Latency
2026-04-16 01:41:46.061344	200	606ms
2026-04-16 00:51:12.579679	200	654ms
2026-04-16 00:47:17.560222	200	309ms
2026-04-15 04:08:25.913864	200	333ms
2026-04-15 01:49:10.162831	200	623ms
2026-04-15 01:41:55.983693	200	295ms
2026-04-14 03:35:40.314321	200	713ms
2026-04-14 01:59:28.633831	200	619ms
2026-04-14 00:53:28.178898	200	303ms
2026-04-12 15:42:24.712605	200	404ms
2026-04-12 15:18:13.456516	200	812ms
2026-04-12 14:36:35.167315	200	585ms
2026-04-10 02:25:33.695567	200	695ms
2026-04-10 01:20:59.614045	200	537ms
2026-04-10 00:28:56.017633	200	549ms
2026-04-09 03:32:32.557207	200	364ms
2026-04-09 03:00:42.316239	200	402ms
2026-04-09 01:17:09.994285	200	677ms
2026-03-23 10:11:27.096730	200	253ms
2026-03-23 09:47:15.989533	200	277ms
2026-03-23 09:34:11.814842	200	247ms