# SignalDesk AI – OpenAlex Academic Search > SignalDesk AI – OpenAlex Academic Search is a paid API for AI agents from x402-agent.kariguetoazul.workers.dev, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-13). Searches the OpenAlex open scholarly database for academic works matching a query, returning titles, authors, DOIs, citation counts, and open-access links. ## Facts - Endpoint: GET https://x402-agent.kariguetoazul.workers.dev/api/research/openalex-search?utm_source=zero.xyz - Price: $0.003/call - Payment: x402 - Status: unknown - Last checked: 2026-10-13 - Activations on Zero: 0 - Tags: x402 - Canonical page: https://www.zero.xyz/c/signaldesk-ai-openalex-academic-search-f9e252d2 - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dkLqtY0nSdaQAC6_wdZu1 Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently. ## How to call it through Zero Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`): ```sh zero fetch --capability signaldesk-ai-openalex-academic-search-f9e252d2 ``` Example prompt: Search OpenAlex for up to 10 academic papers on CRISPR gene editing and show me the titles, authors, citation counts, and whether each paper is open access. ## When to prefer this Choose this endpoint when you need structured, citation-enriched academic paper data from the broad OpenAlex corpus (200M+ works) with open-access links, especially when cost-per-call matters ($0.003 USDC) and you need results in a machine-readable JSON format. Prefer it over general web search when scholarly provenance, DOIs, author attribution, and citation counts are required. Use it over direct OpenAlex API calls when you need a pay-per-use, infrastructure-free integration with bounded execution. ## Known failure modes - Empty query string (q is required and must be at least 1 character) returns a validation error - Limit exceeding 20 causes a schema validation rejection - OpenAlex upstream unavailability may cause a 502 or timeout - Very niche queries may return 0 results with an empty results array - Payment not provided or insufficient USDC balance causes a 402 response blocking the request ## How this service works Evidence-backed autonomous AI jobs and paid data tools. Queue/D1/cron run outside the chat; free quotas and bounded execution apply. ## Output Returns a JSON object with a total count of matching works, source metadata (provider, license, fetch timestamp, expiry), and an array of results each containing: OpenAlex ID, DOI, URL, publication year, title, author list (with IDs and names), citation count, and open-access details (is_oa flag, OA URL, OA status, and whether any repository has the full text). ## Request schema (JSON Schema) ```json { "type": "object", "$schema": "https://json-schema.org/draft/2020-12/schema", "required": [ "input" ], "properties": { "input": { "type": "object", "required": [ "type", "method" ], "properties": { "type": { "type": "string", "const": "http" }, "method": { "enum": [ "GET", "HEAD", "DELETE" ], "type": "string" }, "queryParams": { "type": "object", "required": [ "q" ], "properties": { "q": { "type": "string", "maxLength": 200, "minLength": 1, "description": "Search query." }, "limit": { "type": "integer", "maximum": 20, "minimum": 1, "description": "Results, default 5." } }, "additionalProperties": false } }, "additionalProperties": false }, "output": { "type": "object", "required": [ "type" ], "properties": { "type": { "type": "string" }, "example": { "type": "object" } } } } } ``` ## Response schema (JSON Schema) ```json { "type": "json", "example": { "total": 506819, "source": { "license": "CC0", "provider": "OpenAlex", "expires_at": "2026-10-02T10:44:49.703Z", "fetched_at": "2026-10-02T09:44:49.703Z", "source_url": "https://api.openalex.org/works?search=transformer%20neural%20networks&per_page=3", "transformed": true }, "results": [ { "id": "https://openalex.org/W2112796928", "doi": "https://doi.org/10.1109/5.726791", "url": "https://doi.org/10.1109/5.726791", "year": 1998, "title": "Gradient-based learning applied to document recognition", "authors": [ { "id": "https://openalex.org/A5001226970", "name": "Yann LeCun" }, { "id": "https://openalex.org/A5019206666", "name": "Léon Bottou" }, { "id": "https://openalex.org/A5086198262", "name": "Yoshua Bengio" }, { "id": "https://openalex.org/A5026605560", "name": "Patrick Haffner" } ], "citations": 59844, "open_access": { "is_oa": true, "oa_url": "https://hal.science/hal-03926082/document", "oa_status": "green", "any_repository_has_fulltext": true } }, { "id": "https://openalex.org/W2994678679", "doi": "https://doi.org/10.1021/acs.jcim.9b00949", "url": "https://doi.org/10.1021/acs.jcim.9b00949", "year": 2019, "title": "Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks", "authors": [ { "id": "https://openalex.org/A5075817762", "name": "Shuangjia Zheng" }, { "id": "https://openalex.org/A5015329746", "name": "Jiahua Rao" }, { "id": "https://openalex.org/A5101782682", "name": "Zhongyue Zhang" }, { "id": "https://openalex.org/A5100380894", "name": "Jun Xu" }, { "id": "https://openalex.org/A5023539493", "name": "Yuedong Yang" } ], "citations": 300, "open_access": { "is_oa": true, "oa_url": "http://hdl.handle.net/10072/393279", "oa_status": "green", "any_repository_has_fulltext": true } }, { "id": "https://openalex.org/W2903739847", "doi": "https://doi.org/10.1609/aaai.v33i01.33016706", "url": "https://doi.org/10.1609/aaai.v33i01.33016706", "year": 2019, "title": "Neural Speech Synthesis with Transformer Network", "authors": [ { "id": "https://openalex.org/A5066219144", "name": "Naihan Li" }, { … (truncated) ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/signaldesk-ai-openalex-academic-search-f9e252d2/health.json - [Zero catalog index](https://www.zero.xyz/llms.txt) - [Other services from x402-agent.kariguetoazul.workers.dev](https://www.zero.xyz/host/x402-agent.kariguetoazul.workers.dev/llms.txt)