How should openalex-research-mcp be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this mcp.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

openalex-research-mcp answer-first brief

MCP server for OpenAlex API - enabling literature review and research landscaping OpenAlex MCP Server A Model Context Protocol (MCP) server that provides access to OpenAlex, a comprehensive open catalog of scholarly papers, authors, institutions, and more. Designed to empower AI assistants to conduct literature reviews, analyze research trends, and map the scholarly landscape. **Features:** - ⚡️ **In-memory caching** with TTL for fast repeated requests - 🔄 **Retry logic** with exponential backoff Published capability contract available. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

openalex-research-mcp is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 100/100

openalex-research-mcp

MCPverified

Public facts

Change events

Artifacts

Freshness

Feb 22, 2026

Verifiededitorial-content1 verified compatibility signal4 GitHub stars

Published capability contract available. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 2/24/2026.

4 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 22, 2026

Vendor

Oksure

Artifacts

Benchmarks

Last release

0.2.2

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/oksure/openalex-research-mcp.git

1
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Oksure

profilemedium

Observed Feb 24, 2026Source link Provenance

Compatibility (2)

Protocol compatibility

MCP

contracthigh

Observed Feb 24, 2026Source link Provenance

Auth modes

mcp, api_key

contracthigh

Observed Feb 24, 2026Source link Provenance

Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh

Observed Feb 24, 2026Source link Provenance

Adoption (1)

Adoption signal

4 GitHub stars

profilemedium

Observed Feb 24, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

Examples

Snippets

Languages

typescript

Executable Examples

bash

# Install globally
npm install -g openalex-research-mcp

# Or use directly with npx (no installation needed)
npx openalex-research-mcp

bash

# Clone the repository
git clone https://github.com/oksure/openalex-research-mcp.git
cd openalex-research-mcp

# Install dependencies
npm install

# Build the TypeScript code
npm run build

bash

export OPENALEX_EMAIL="[email protected]"

bash

export OPENALEX_API_KEY="your-api-key"

json

{
  "mcpServers": {
    "openalex": {
      "command": "npx",
      "args": ["-y", "openalex-research-mcp"],
      "env": {
        "OPENALEX_EMAIL": "[email protected]"
      }
    }
  }
}

json

{
  "mcpServers": {
    "openalex": {
      "command": "node",
      "args": ["/absolute/path/to/openalex-research-mcp/build/index.js"],
      "env": {
        "OPENALEX_EMAIL": "[email protected]"
      }
    }
  }
}

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Full README

OpenAlex MCP Server

A Model Context Protocol (MCP) server that provides access to OpenAlex, a comprehensive open catalog of scholarly papers, authors, institutions, and more. Designed to empower AI assistants to conduct literature reviews, analyze research trends, and map the scholarly landscape.

Features:

⚡️ In-memory caching with TTL for fast repeated requests
🔄 Retry logic with exponential backoff for resilient API calls
✅ Input validation with Zod schemas
🏥 Health check tool for monitoring
📊 18+ specialized tools for research

Features

Access 240+ million scholarly works through 18 specialized tools:

Literature Search & Discovery

search_works: Advanced search with Boolean operators, filters, and sorting
get_work: Get detailed metadata for a specific work
get_related_works: Find similar papers based on citations and topics
search_by_topic: Explore literature in specific research domains
autocomplete_search: Fast typeahead search for all entity types

Citation Analysis

get_work_citations: Forward citation analysis (who cites this work)
get_work_references: Backward citation analysis (what this work cites)
get_citation_network: Build complete citation networks for visualization
get_top_cited_works: Find the most influential papers in a field

Author & Institution Analysis

search_authors: Find researchers with publication and citation metrics
get_author_works: Analyze an author's publication history
get_author_collaborators: Map co-authorship networks
search_institutions: Find leading academic institutions

Research Landscape & Trends

analyze_topic_trends: Track research evolution over time
compare_research_areas: Compare activity across different fields
get_trending_topics: Discover emerging research areas
analyze_geographic_distribution: Map global research activity

Entity Lookup

get_entity: Get detailed information for any OpenAlex entity
search_sources: Find journals, conferences, and publication venues

Installation

Option 1: Install from npm (Recommended)

# Install globally
npm install -g openalex-research-mcp

# Or use directly with npx (no installation needed)
npx openalex-research-mcp

Option 2: Install from source

# Clone the repository
git clone https://github.com/oksure/openalex-research-mcp.git
cd openalex-research-mcp

# Install dependencies
npm install

# Build the TypeScript code
npm run build

Configuration

Environment Variables (Optional but Recommended)

Set your email to join the "polite pool" for better rate limits:

export OPENALEX_EMAIL="[email protected]"

For premium users with an API key:

export OPENALEX_API_KEY="your-api-key"

Claude Desktop Configuration

Add to your Claude Desktop config file:

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

If you installed via npm/npx:

{
  "mcpServers": {
    "openalex": {
      "command": "npx",
      "args": ["-y", "openalex-research-mcp"],
      "env": {
        "OPENALEX_EMAIL": "[email protected]"
      }
    }
  }
}

If you installed from source:

{
  "mcpServers": {
    "openalex": {
      "command": "node",
      "args": ["/absolute/path/to/openalex-research-mcp/build/index.js"],
      "env": {
        "OPENALEX_EMAIL": "[email protected]"
      }
    }
  }
}

TypingMind and Other MCP Clients

The same configuration format works for TypingMind and other MCP-compatible clients.

⚠️ TypingMind Users: If you encounter "tool_use_id" errors, see TYPINGMIND.md for troubleshooting steps and best practices. TL;DR: Start a new chat, request fewer results (5-10), and use specific queries with filters.

Usage Examples

Example 1: Literature Review for AI Safety

Find the most influential papers on AI safety published since 2020

The assistant will use get_top_cited_works with appropriate filters to find highly-cited papers in AI safety research. The tool automatically filters for papers with at least 50 citations by default, ensuring results focus on influential work. For the most impactful papers, you can specify a higher threshold like min_citations: 200.

Example 2: Citation Network Analysis

Get the citation network for the paper "Attention Is All You Need" (DOI: 10.48550/arXiv.1706.03762)

The assistant will use get_citation_network to build a network of citing and referenced papers, enabling visualization of research impact.

Example 3: Research Trend Analysis

Show me how quantum computing research has evolved over the past 10 years

The assistant will use analyze_topic_trends to group publications by year and show growth patterns.

Example 4: Finding Collaborators

Who are the main collaborators of Geoffrey Hinton?

The assistant will use get_author_collaborators to analyze co-authorship patterns.

Example 5: Comparative Research Analysis

Compare research activity in "deep learning", "reinforcement learning", and "federated learning" from 2018-2024

The assistant will use compare_research_areas to show relative publication volumes.

Example 6: Geographic Research Mapping

Which countries are leading research in climate change mitigation?

The assistant will use analyze_geographic_distribution to map research activity by country.

Response Format

The MCP server uses a two-tier response system to balance performance and completeness:

Summarized Responses (Search Results)

For list operations (search_works, get_citations, get_author_works, etc.), responses include only essential information:

Included:

Core identifiers (ID, DOI, title)
Publication metadata (year, date, type)
Citation metrics (cited_by_count)
First 5 authors (with authors_truncated flag if more exist)
Primary topic classification
Open access status and URLs
Source/journal name
Abstract preview (first 500 chars)

Excluded to reduce size:

Full author lists beyond 5 authors
All secondary topics/concepts
Complete affiliation details
Full reference lists
Detailed bibliographic data

This optimization reduces response sizes by ~80-90% (from ~10 KB to ~1.7 KB per work), making the server compatible with all MCP clients including TypingMind and Claude Desktop.

Full Details (`get_work` tool)

When you need complete information about a specific paper, use the get_work tool with a work ID or DOI. This returns:

Complete Author Information:

ALL authors (not just first 5)
Position indicators (first, middle, last author)
Institutions and affiliations
ORCID IDs
Corresponding author flags
Country information

Complete Content:

Full abstract (reconstructed from OpenAlex index)
All topics (not just primary)
Complete bibliographic data
Funding and grant information
Keywords
Complete reference and citation lists

Use Cases:

Identifying PIs (often last author in biomedical fields)
Finding corresponding authors
Getting complete author affiliations
Accessing full abstracts
Comprehensive paper analysis

Tool Reference

Search Parameters

Most search tools support these common parameters:

from_year / to_year: Filter by publication year range
cited_by_count: Filter by citation count (e.g., ">100")
is_oa: Filter for open access works only
sort: Sort results (relevance_score, cited_by_count, publication_year)
page / per_page: Pagination (max 200 per page)

Boolean Search

The search_works and related tools support Boolean operators:

"machine learning" AND (ethics OR fairness)
"climate change" NOT "climate denial"
(AI OR "artificial intelligence") AND safety

Identifiers

OpenAlex accepts multiple identifier formats:

OpenAlex IDs: W2741809807, A5023888391
DOIs: 10.1371/journal.pone.0000000
ORCIDs: 0000-0001-2345-6789
URLs: Full OpenAlex URLs

API Rate Limits

Default: 100,000 requests/day, 10 requests/second
Polite Pool (with email): Better performance and reliability
Premium (with API key): Higher limits and exclusive filters

Development

# Watch mode for development
npm run watch

# Build
npm run build

# Run
npm start

Data Source

All data comes from OpenAlex, an open and comprehensive catalog of scholarly papers, authors, institutions, and more. OpenAlex indexes:

240+ million works (papers, books, datasets)
50,000+ new works added daily
Full citation network and metadata
Author affiliations and collaboration data
Publication venues and impact metrics

Use Cases

This MCP server is ideal for:

Literature Reviews: Systematically search and analyze research papers
Citation Analysis: Understand research impact and influence
Trend Analysis: Track how research topics evolve over time
Collaboration Mapping: Identify research networks and partnerships
Gap Analysis: Find understudied areas in research
Comparative Studies: Compare research activity across fields
Institution Benchmarking: Analyze research output by institution
Author Profiling: Study researcher publication patterns

License

MIT

Contributing

Contributions are welcome! Please feel free to submit issues or pull requests.

Resources

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

Data region

global

Protocol support

MCP: verified

Requires: mcp, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.

Trust confidence is not low and verification freshness is acceptable.

Protocol support is explicitly confirmed in contract metadata.

Invocation examples

curl -s "https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/contract"

curl -s "https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/oksure/openalex-research-mcp#input",
  "outputSchemaRef": "https://github.com/oksure/openalex-research-mcp#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:45:41.672Z",
  "sourceUpdatedAt": "2026-02-24T19:45:41.672Z",
  "freshnessSeconds": 19550456
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-10-09T02:26:37.855Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "supported",
      "confidenceSource": "contract",
      "notes": "Confirmed by capability contract"
    },
    {
      "key": "mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "mcp-server",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "model-context-protocol",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "openalex",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "literature-review",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "research",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "citations",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "academic",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "scholarly",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "papers",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "claude",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cli",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:MCP|supported|contract capability:mcp|supported|profile capability:mcp-server|supported|profile capability:model-context-protocol|supported|profile capability:openalex|supported|profile capability:literature-review|supported|profile capability:research|supported|profile capability:citations|supported|profile capability:academic|supported|profile capability:scholarly|supported|profile capability:papers|supported|profile capability:claude|supported|profile capability:ai|supported|profile capability:cli|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:45:41.672Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:45:41.672Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/oksure/openalex-research-mcp#input",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:45:41.672Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Oksure",
    "href": "https://github.com/oksure/openalex-research-mcp#readme",
    "sourceUrl": "https://github.com/oksure/openalex-research-mcp#readme",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "4 GitHub stars",
    "href": "https://github.com/oksure/openalex-research-mcp",
    "sourceUrl": "https://github.com/oksure/openalex-research-mcp",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-oksure-openalex-research-mcp/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

openalex-research-mcp answer-first brief

Executive Summary

Evidence Ledger

Release & Crawl Timeline

Artifacts Archive

Docs & README

OpenAlex MCP Server

Features

Literature Search & Discovery

Citation Analysis

Author & Institution Analysis

Research Landscape & Trends

Entity Lookup

Installation

Option 1: Install from npm (Recommended)

Option 2: Install from source

Configuration

Environment Variables (Optional but Recommended)

Claude Desktop Configuration

TypingMind and Other MCP Clients

Usage Examples

Example 1: Literature Review for AI Safety

Example 2: Citation Network Analysis

Example 3: Research Trend Analysis

Example 4: Finding Collaborators

Example 5: Comparative Research Analysis

Example 6: Geographic Research Mapping

Response Format

Summarized Responses (Search Results)

Full Details (get_work tool)

Tool Reference

Search Parameters

Boolean Search

Identifiers

API Rate Limits

Development

Data Source

Use Cases

License

Contributing

Resources

Contract & API

Reliability & Benchmarks

Media & Demo

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Full Details (`get_work` tool)