Panda Federation Tools
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| APIFY_TOKEN | Yes | Your Apify API token. Tools list without it; calls need it. | |
| PANDA_MAX_ITEMS | No | Default max results per call (1–1000). | 50 |
| PANDA_TIMEOUT_SECS | No | Default seconds to wait per call (10–300). | 120 |
| PANDA_MAX_CHARGE_USD | No | Default spending cap per call (0.01–25). | 0.50 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| reference_checkerA | Use this to check a bibliography, DOIs or paper titles for fake (AI-hallucinated), miscited or retracted references. Input: reference text, DOIs or titles. Output: one row per reference with OK/CHECK/FIX status, matched DOI, mismatches and retraction status. Runs the Apify Actor pandadad0214/reference-checker (https://apify.com/pandadad0214/reference-checker) on your own Apify account. Price: $0.01 per reference checked. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| citation_formatterA | Use this to turn DOIs, ISBNs, PMIDs, arXiv IDs, titles or messy references into citations. Input: a reference list or pasted .bib/.ris text. Output: APA 7, MLA 9, Chicago, Harvard, IEEE, Vancouver, BibTeX and RIS per reference, checked against Crossref. Runs the Apify Actor pandadad0214/citation-formatter (https://apify.com/pandadad0214/citation-formatter) on your own Apify account. Price: $0.003 per citation formatted. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| literature_searchA | Use this to find real scholarly papers on a topic (Google Scholar scraper alternative, 250M+ OpenAlex works). Input: a query or seed DOIs plus year and citation filters. Output: ranked papers with DOI, citations, free PDF link, retraction flag, citation and BibTeX. Runs the Apify Actor pandadad0214/literature-search (https://apify.com/pandadad0214/literature-search) on your own Apify account. Price: $0.003 per paper found. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| pubmed_evidence_tableA | Use this to search PubMed and get a screening-ready evidence table. Input: PubMed query strings plus optional date and study-design filters. Output: one row per article with PMID, journal, study design, sample size and retraction status, plus PRISMA counts and Excel. Runs the Apify Actor pandadad0214/pubmed-evidence-table (https://apify.com/pandadad0214/pubmed-evidence-table) on your own Apify account. Price: $0.004 per article found. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| grants_finderA | Use this to find US federal funding: open and forecasted Grants.gov opportunities plus funded NIH and NSF awards (Grants.gov scraper). Input: keywords plus agency, date and amount filters. Output: one row per grant with agency, dates, amount (USD), eligibility and link. Runs the Apify Actor pandadad0214/grants-finder (https://apify.com/pandadad0214/grants-finder) on your own Apify account. Price: $0.003 per grant found. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| researcher_expert_finderA | Use this to find the academic experts and key opinion leaders on a research topic (Google Scholar author search alternative). Input: a topic plus country, institution and year filters. Output: ranked experts with ORCID, affiliation, h-index and topic papers. Runs the Apify Actor pandadad0214/researcher-expert-finder (https://apify.com/pandadad0214/researcher-expert-finder) on your own Apify account. Price: $0.0025 per expert found. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| pdf_table_extractorA | Use this to extract every table from PDF files into Excel and CSV (PDF to Excel converter, OCR for scans). Input: PDF URLs or uploads plus optional page ranges. Output: one row per table with pages, header, row and column counts and cell data, plus Excel and CSV files. Runs the Apify Actor pandadad0214/pdf-table-extractor (https://apify.com/pandadad0214/pdf-table-extractor) on your own Apify account. Price: $0.001 per page analysed; $0.003 per table extracted; $0.02 per scanned page ocr. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| npi_provider_listsA | Use this to build lists of US healthcare providers from the official NPI Registry (NPI registry scraper). Input: specialties in plain words plus states, cities or ZIP codes. Output: one de-duplicated row per provider with NPI, name, specialty, address and phone, plus Excel. Runs the Apify Actor pandadad0214/npi-provider-lists (https://apify.com/pandadad0214/npi-provider-lists) on your own Apify account. Price: $0.0015 per provider in list. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| federal_contract_finderA | Use this to find US federal contract awards and contracts ending soon (recompete leads) from USAspending.gov. Input: keywords, NAICS, PSC, agency, state or set-aside. Output: one row per contract with incumbent, UEI, amount, agency, end date and link, plus top competitors. Runs the Apify Actor pandadad0214/federal-contract-finder (https://apify.com/pandadad0214/federal-contract-finder) on your own Apify account. Price: $0.002 per contract found. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| email_domain_security_checkerA | Use this to check SPF, DKIM, DMARC, MX provider, BIMI and MTA-STS for a list of domains or emails. Output: one row per domain with an A-F grade, spoofing risk, mail provider, senders and plain-English fixes, plus Excel and CSV. Runs the Apify Actor pandadad0214/email-domain-security-checker (https://apify.com/pandadad0214/email-domain-security-checker) on your own Apify account. Price: $0.002 per domain checked. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| ai_search_seo_auditA | Use this to audit web pages for SEO and AI search (ChatGPT, Perplexity, Claude, AI Overviews) readiness. Input: URLs. Output: SEO and AI scores, blocked AI crawlers, schema, FAQ, author/date, llms.txt and prioritized fixes, plus Excel. Runs the Apify Actor pandadad0214/ai-search-seo-audit (https://apify.com/pandadad0214/ai-search-seo-audit) on your own Apify account. Price: $0.004 per page audited. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| podcast_leads_finderA | Use this to find podcasts to pitch by topic. Input: keywords and country. Output: one row per active show with host, contact email published in its RSS feed, website, socials, episodes, last episode date and a has-guests signal, plus Excel and CSV. Runs the Apify Actor pandadad0214/podcast-leads-finder (https://apify.com/pandadad0214/podcast-leads-finder) on your own Apify account. Price: $0.004 per podcast found. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| local_business_leadsA | Use this to list local businesses by category and city, e.g. dentists in Tempe AZ. Output: one row per business with address, phone, email, website, opening hours and socials from OpenStreetMap (open license), plus Excel and CSV. Runs the Apify Actor pandadad0214/local-business-leads (https://apify.com/pandadad0214/local-business-leads) on your own Apify account. Price: $0.001 per business found. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| company_hiring_signalsA | Use this to see which companies are hiring and for what. Give company domains, names or job-board links; get one row per company with open jobs, new jobs in 7/30 days, teams hiring, leadership roles and a hiring score. Greenhouse, Lever, Ashby and more. Runs the Apify Actor pandadad0214/company-hiring-signals (https://apify.com/pandadad0214/company-hiring-signals) on your own Apify account. Price: $0.003 per company analyzed. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| company_website_enricherA | Use this to enrich a list of company domains in one run: company name, description, public emails and phones, LinkedIn and social links, tech stack (CMS, analytics, CRM, ads, chat), mail provider, SaaS tools seen in DNS and domain age. Excel and CSV. Runs the Apify Actor pandadad0214/company-website-enricher (https://apify.com/pandadad0214/company-website-enricher) on your own Apify account. Price: $0.003 per domain enriched. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| topic_trends_trackerA | Use this to compare public interest in topics, brands, products or people over time with real view counts (Wikipedia pageviews): daily and monthly views, 30-day and year-over-year change, peaks, spike days and a 0-100 interest index. Excel and CSV. Runs the Apify Actor pandadad0214/topic-trends-tracker (https://apify.com/pandadad0214/topic-trends-tracker) on your own Apify account. Price: $0.002 per topic tracked. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| company_team_finderA | Use this to find the people behind a company from its own website: names, job titles, seniority, department, published emails, LinkedIn links and the email pattern, from team, leadership and staff pages. No LinkedIn scraping. Excel and CSV. Runs the Apify Actor pandadad0214/company-team-finder (https://apify.com/pandadad0214/company-team-finder) on your own Apify account. Price: $0.002 per person found. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
| trucking_company_leadsA | Use this to get fresh trucking company leads from official FMCSA data: new USDOT carriers, brokers and freight forwarders with phone, email, officers, fleet size, drivers, cargo and authority. Filter by state, date, fleet and cargo. Excel and CSV. Runs the Apify Actor pandadad0214/trucking-company-leads (https://apify.com/pandadad0214/trucking-company-leads) on your own Apify account. Price: $0.002 per carrier returned. Runs that find nothing are not charged per result. Spending is capped per call by run_max_charge_usd. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 18 tools
Most tools have clearly distinct targets: reference checking, citation formatting, literature search, PubMed evidence tables, grant finding, PDF extraction, and various lead/enrichment sources. A few pairs could be confused at first glance (literature_search vs pubmed_evidence_table; company_team_finder vs company_website_enricher), but their descriptions make the boundaries clear.
All 18 tools use consistent snake_case noun-phrase naming, with no camelCase or stylistic mixing. Suffixes like _finder, _checker, _enricher, and _tracker form a predictable and readable convention across the set.
Eighteen tools is on the heavy side for a single server, especially because the set spans unrelated domains such as academic research, federal contracting, local lead generation, SEO, and email security. Each tool is individually justified, but the overall count feels closer to a marketplace bundle than a tightly scoped toolkit.
Coverage is broad but shallow across multiple domains: academic research has search, checking, formatting, and PubMed extraction, yet lacks full-text retrieval or citation-network tools; lead generation has many finders and enrichers but no verification, CRM, or update/delete operations. Agents can work around these gaps, but the surface is not complete for any one workflow.