Identify a real number's closed form, airtight: PSLQ + closed-form search, every candidate independently re-evaluated to 50+ digits, honest UNIDENTIFIED otherwise. Use when you have a numeric constant and want to know what it IS. Args: value (decimal string — give MANY digits, >16), optional basis (constant names like ['pi','e']).

Match an integer sequence against a LOCAL OEIS copy by EXACT contiguous term-match (no fuzzy scoring; honest UNDETERMINED if the data files are absent). Use when you have >= 4 integer terms and want the named sequence. Args: terms (list of integers), max_results (default 5).

Find existing theorems/results for a problem from the mathlas 3.68M-doc index (dense + BM25 + RRF, fused with any live web_added findings). Use FIRST for any 'does known math solve this?' question; follow up with applicability_checklist on promising candidates. Args: query (problem/result description), k (default 10), optional corpus_dir (dataset parquets; omit to serve the prebuilt index or seed corpus), optional source_filter / source_weights to down-weight or exclude corpus sources, e.g. exclude web-mined docs when looking for canonical theorem statements.

Find mathlib DECLARATIONS (name + type) via the public Loogle (pattern/type queries like '?a * ?b = ?b * ?a') and LeanSearch (natural-language queries) services — the ONE tool that itself calls the web; honest 'service unavailable' if down (though a <=7-day-old cached response for the same query is then served, clearly labeled 'cached' with its age). Use when you need the formal Lean name/type of a result, e.g. before writing a verify_formal snippet. Args: query, k (default 10), backend ('auto'|'loogle'|'leansearch').

Airtight check that a closed-form expression equals a numeric value: independent sympy re-evaluation at higher precision, verified only on >= 20 agreeing digits. Use BEFORE asserting any numeric identity. Args: value (decimal string), closed_form (e.g. 'pi**2/6', 'zeta(3)').

Run the REAL Lean 4 kernel (NO LLM). Two modes: (1) pass lean (a full snippet, e.g. 'example : 2 + 2 = 4 := rfl') to typecheck it as-is; (2) pass proof to PROOF-CHECK — statement must then be the Lean 4 proposition and proof YOUR proof (term or 'by ...' tactic block); mathlas builds theorem _mathlas_check : <statement> := <proof> and the kernel returns proof_status VERIFIED_PROOF / REFUTED (kernel_error carries the kernel's exact complaint — use it to repair the proof and re-call) / UNDETERMINED (no toolchain / timeout / unresolvable import — honest, never fake). sorry/admit are REJECTED. mathlas never writes proofs, only checks them. Find declaration names first with search_formal_math. Args: statement, lean?, proof?.

Decompose a candidate theorem's statement into atomic preconditions + conclusion for YOU to verify one by one against your problem (catches misapplications like using a closed-interval theorem on an open interval). Use after search, before relying on any candidate. Args: candidate_statement (the result's statement text).

Build the needs<->guarantees scaffold (structured questions + fill-in template) between your problem and a candidate result. Use when applicability is non-obvious and you want structure for the judgment (the judging is yours). Args: problem, candidate_statement.

Conjecture relations for a real constant — Ramanujan-Machine style: PSLQ over a rich basis + continued-fraction/recurrence search; every candidate numerically VERIFIED to >= 25 digits but NOT proved (provenance 'conjectured_relation'). Use when identify_constant returns UNIDENTIFIED. Args: value (decimal string, MANY digits), max_terms (default 16), cf_depth (default 200).

Sandboxed program-search harness (FunSearch): action='evaluate' scores YOUR Python program for problem_id ('cap_set' or 'online_bin_packing') in a no-network/timeout/rlimit sandbox; action='register' stores a scored program in the MAP-Elites DB; action='status' returns the best programs + few-shot context for writing the next variant. Use to iteratively evolve programs — YOU are the generator, mathlas is the deterministic scorer. Args: action, problem_id, then program_src (evaluate/register), score + behavior (register), timeout_s (evaluate), top_k (status).

Get a STRUCTURED web-search plan for a problem — arXiv query strings, sub-fields/categories, named results to look for, and which other mathlas tools to run; mathlas makes NO web call (YOU search, then feed results back via add_finding). Use when the local index missed. Args: problem (description).

Ingest a web-found result into the live mathlas corpus so search_existing_math returns it immediately (provenance 'web_added'; BM25 always — no model load; full dense retrieval too if you pass dense_vec embedded in the served index's space). Use after web-searching per search_directive. Args: statement, slogan, source, optional name, optional dense_vec.