corbis.ai

Search academic and industry research papers using hybrid semantic-keyword search.

Retrieve comprehensive details for a specific paper by ID.

Retrieve details for multiple papers in a single call.

Map candidate research gaps, bridge opportunities, conservative conflict probes, and frontier papers inside a bounded academic embedding neighborhood.

Retrieve bounded academic paper candidates for local Claude Code/Codex synthesis.

Fan out a research question into bounded paper-layer searches, deduplicate the candidates, and return stable document IDs for downstream paper-grain workflows.

Position a thesis against nearby paper-layer literature, returning close papers, citation-anchor candidates, and verification-needed positioning signals.

Build a paper-level evidence pack for a claim from selected paper IDs or bounded paper retrieval, with citation-ready metadata and retained document IDs.

Search FRED (Federal Reserve Economic Data) series by text and return candidate series IDs with titles, frequency, and units.

Fetch multiple FRED time series at once and inject a single Python preamble that defines one DataFrame per series (e.g., _CSUSHPISA_df) plus a fred_series dict and fred_series_ids list.

U.S.

Discover the 166 chatbot-facing CRE metric keys with human labels, descriptions, units, data sources, polarity (higher_is_better / lower_is_better / neutral), and category (demographics, labor, income, housing, multifamily, affordability, establishments, migration, fema_risk, fdic, zillow_housing, zillow_rental, composite, sector_scores).

Side-by-side comparison of 2-10 U.S.

Rank all 925 U.S.

Multi-factor CRE market screen combining NUMERIC HARD FILTERS with a WEIGHTED COMPOSITE SCORE across up to 8 metrics from cbsa_market_data (925 metros).

National macro time series from the national_macro table: Real GDP, CPI, 10Y/2Y Treasury, 30Y mortgage rate, Fed funds.

Historical metro-level time series from the time_series table — deeper history than the 24-month window in cbsa_market_data snapshots.

Commercial real-estate snapshot for a U.S.

Rank U.S.

Annual CRE transaction trend for a metro (credeals.cre_market_timeseries; CMBS by origination vintage, ~2015-2025): cap rate / occupancy / vacancy / DSCR / NOI-per-SF per year.

Live individual CRE listings for sale or lease from credeals.cre_listings.

Individual securitized (CMBS) property comps behind market aggregates (credeals.cmbs_properties): valuation, NOI, cap rate, occupancy, DSCR, NOI/SF, size, year built; optional loan terms.

CRE operating fundamentals for a U.S.

NATIONAL, by-sector REIT transaction cap rates from REIT quarterly supplementals (credeals.cre_reit_transaction_caps; time-series cre_reit_cap_timeseries): the weighted-average acquisition/disposition cap rate + dollar volume REITs disclose -- current institutional deal pricing.

Format supplied citation metadata into ready-to-download files (BibTeX, Markdown, JSON).

Render corpus-verified citations by resolving OpenAlex IDs, DOI IDs, chat citation sets, document snapshots, or run IDs against the Corbis corpus.

Rank the most-cited academic papers within specific journals, optionally filtered by topic.

Format academic paper citations in APA 7th, MLA 9th, Chicago 17th, Harvard, or BibTeX style.

Search for free finance research datasets by topic, use case, or data type.

Search for the current user's public research identity using profile data.

Link or unlink the user's research identity using public anchors such as ORCID, Google Scholar, or an opaque candidate token.

Return the authenticated user's Corbis research pulse for ResearchBar and other MCP clients.

Return Corbis data-source freshness in one call: data-through dates and last-refreshed timestamps for the academic corpus, CRE market data, and economic data.

Retrieve a user-owned Corbis artifact document by ID.

Parse a BibTeX file or inline BibTeX content, resolve each reference against the Corbis academic paper index, and return field-level corrections (title, year, DOI, author, journal).