Research Suite: Multi-Source Search

Name: Research Suite: Multi-Source Search
Brand: Lightning Enable
Price: 0.01 USD
Availability: InStock

Verified: delivered 1 time

How we rate this

Delivery health: healthy. Paid successes: 1. Paid failures: 0. Last successful delivery: 2026-10-17. Schema confidence: high.

Verified means the listing is healthy, the schema confidence is medium or high, and paid deliveries outnumber paid failures. Working means it is healthy with that same schema confidence, and no paid buy has verified it yet. Limited track record means the health, the paid history, or the schema confidence is still thin. Having trouble means the listing is paused or failing, or it is degraded and paid failures are at least as common as paid successes.

17 sats · ≈$0.014

Comprehensive research search across arXiv, PubMed, OpenAlex, and Crossref in one call

Example

What agents use this for. Comprehensive research search across arXiv, PubMed, OpenAlex, and Crossref in one call. Category: data/science.

Request

GET https://api.lightningenable.com/l402/proxy/research-suite-1088/comprehensive?query=bitcoin&limit=10

curl

curl -sS -X GET \
  'https://api.lightningenable.com/l402/proxy/research-suite-1088/comprehensive?query=bitcoin&limit=10' \
  -H 'Accept: application/json' \
  # Example only. No L402 token. Sends no sats.

MCP buy

buy({
  "sku": "1a3c4ad9-2939-4902-a1a0-e06e1ce60efb",
  "params": {
    "query": "bitcoin",
    "limit": 10
  },
  "total_cost": "17 sats",
  "max_total_sats": 17
})

Example response

Stored from a successful paid delivery. Truncated to a size cap.

{"status":"ok","data":{"query":"blue whale population estimate IUCN abundance 2020 OR 2021 OR 2022 OR 2023 OR 2024 OR 2025","suite":"research","totalResults":40,"arxiv":{"count":10,"papers":[{"arxivId":"2211.11360v1","title":"Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022","authors":["Ali Hürriyetoğlu","Osman Mutlu","Fırat Duruşan","Onur Uca","Alaeddin Selçuk Gürel","Benjamin Radford","Yaoyao Dai","Hansi Hettiarachchi","Niklas Stoehr","Tadashi Nomoto","Milena Slavcheva","Francielle Vargas","Aaqib Javid","Fatih Beyhan","Erdem Yörük"],"abstract":"We report results of the CASE 2022 Shared Task 1 on Multilingual Protest Event Detection. This task is a continuation of CASE 2021 that consists of four subtasks that are i) document classification, ii) sentence classification, iii) event sentence coreference identification, and iv) event extraction. The CASE 2022 extension consists of expanding the test data with more data in previously available languages, namely, English, Hindi, Portuguese, and Spanish, and adding new test data in Mandarin, Turkish, and Urdu for Sub-task 1, document classification. The training data from CASE 2021 in English, Portuguese and Spanish were utilized. Therefore, predicting document labels in Hindi, Mandarin, Turkish, and Urdu occurs in a zero-shot setting. The CASE 2022 workshop accepts reports on systems developed for predicting test data of CASE 2021 as well. We observe that the best systems submitted by CASE 2022 participants achieve between 79.71 and 84.06 F1-macro for new languages in a zero-shot setting. The winning approaches are mainly ensembling models and merging data in multiple languages. The best two submissions on CASE 2021 data outperform submissions from last year for Subtask 1 and Subtask 2 in all languages. Only the following scenarios were not outperformed by new submissions on CASE 2021: Subtask 3 Portuguese \\& Subtask 4 English.","pdfUrl":"https://arxiv.org/pdf/2211.11360v1","published":"2022-11-21T11:23:01+00:00","categories":

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