S&P - Deterministic Retrieval
Deterministic access to S&P Global data
Add to Claude (opens in new tab)Deterministic Retrieval provides structured, API-driven access to S&P Global data for LLMs and agent-based systems that know exactly what they need. Using defined parameters and structured queries, it returns fast, predictable, cited results, with full customer control over orchestration, tool selection, and execution. Built by Kensho, S&P Global's AI innovation engine, the solution is ideal for company-specific research, financial analysis, transcript intelligence, and multi-entity comparisons. Can be used alongside S&P Global - Adaptive Retrieval for teams that need both structured and flexible data access.
Tools
- get_latest
- get_n_quarters_ago
- get_business_relationship_from_identifiers
- get_capitalization_from_identifiers
- get_info_from_identifiers
- get_company_other_names_from_identifiers
- get_company_summary_from_identifiers
- get_company_description_from_identifiers
- get_competitors_from_identifiers
- get_next_earnings_from_identifiers
- get_cusip_from_identifiers
- get_isin_from_identifiers
- get_earnings_from_identifiers
- get_latest_earnings_from_identifiers
- get_transcript_from_key_dev_id
- get_financial_line_item_from_identifiers
- get_prices_from_identifiers
- get_segments_from_identifiers
- get_financial_statement_from_identifiers
- get_advisors_for_company_in_transactions
- get_merger_info_from_transaction_id
- get_mergers_from_identifiers
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