scorecompute.com valid
ScoreCompute
Specialized Rust computation tools for AI assistants.
- Authority
- 45 reach 0 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://scorecompute.com/llms.txt
- llms-full.txt
- https://scorecompute.com/llms-full.txt
- Sections
- 17
- Links
- 71
- Size
- 39230 bytes
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-26T04:32:21.470Z
- Last checked
- 2026-10-26T04:32:21.754Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T04:32:21.482Z. Cached copy · Source on scorecompute.com
# ScoreCompute
> Specialized Rust computation tools for AI assistants.
Website: https://scorecompute.com/
MCP endpoint: https://scorecompute.com/mcp
Transport: MCP Streamable HTTP. No API key required for bounded public access.
Use MCP initialize and tools/list to discover the current schemas and limits.
Optional focused connection: https://scorecompute.com/mcp?tools=verify_claim exposes only Verify. The service-specific tools query accepts 1–8 distinct tool names; each selected tool keeps its full schema. The ordinary endpoint retains all tools. Reconnect after changing a selection; this is not an authorization boundary.
<!-- PUBLIC_INVENTORY:CATALOGUE:START -->
The catalogue exposes 38 tools: 22 scientific computation tools, 6 independent Discovery study tools, 6 optional composition tools, 3 contributor-network tools and 1 claim-verification tool. Direct scientific and Discovery calls never require the composer.
<!-- PUBLIC_INVENTORY:CATALOGUE:END -->
## Guided first mission
- https://scorecompute.com/guides/first-mission/: copyable English/French request, exact arguments and clearly dated private MCP execution record on synthetic data. No hosted chat model; the caller supplies its assistant.
- https://scorecompute.com/missions/robust-route/: compose_capabilities previews the existing route-risk path; execute_composition runs route_optimizer, the explicit route_durations.v1 adapter and simulate_plan. This assesses one tour, not an optimization of robust tour choice.
## Direct computation tools
- shape_the_sound: inverse design for a connected uniform fixed-edge ideal membrane. Ratios, tolerance windows, numerical search and optional actual mode meshes. Refinement reuses hear_the_shape, not an independent validator; search failure never proves impossibility.
- check_arithmetic: bounded numerical claims with checked exact rational arithmetic where supported; unsupported estimates remain inconclusive. Directly callable independently of verify_claim.
- simulate_pi: seeded Monte Carlo, CPU or NVIDIA CUDA, Wilson confidence interval.
- optimize_tasks: exact 0/1 task selection under an integer time budget.
- simulate_plan: uncertainty simulation for the selected task durations.
- compute_orbit: ideal two-body Keplerian orbit, not an observational ephemeris.
- hear_the_shape: 1–12 vibration modes of a simple 3–64-vertex polygon in metres,
with fixed or free boundary conditions. P1 finite-element upper bounds and
Richardson-extrapolated estimates remain distinct; estimated errors are not
rigorous bounds. Optional wave speed supplies frequencies and notes; optional
second polygon supplies a finite-resolution spectral comparison. Matching modes
do not prove isospectrality. No damping, air loading, bending stiffness or holes.
CPU, direct MCP access only: no planner binding or approved composition adapter.
- propagate_uncertainty: check units for one explicit expression (512 characters,
1–16 variables), then compare first-order GUM with s
…Related sites
Category suggestions: other listed sites in AI and machine learning. These share a category. See the whole category →
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| aiteamguide.com | AITeamGuide | documentation AI and machine learning Marketing +4 | — | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Infrastructure +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Productivity +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | — | 74 | ✓ | ✓ |
Machine-readable: GET /v1/resolve?q=scorecompute.com · GET /v1/domain/scorecompute.com · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
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Claim my listing on Agent Web Map for scorecompute.com:
1. POST https://agentwebmap.com/v1/sites/scorecompute.com/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://scorecompute.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/scorecompute.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/scorecompute.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.