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Cheapest LLM API

REMOTE · CHEAPESTLLMAPI.COM

Compare LLM API prices, search models and providers, and access reviewed benchmark results.

0 this week 24 Trust /100

Last scanned (3 hours ago)

Scores higher than 10% of remote servers

Reachable. Last reached 5 Nov 2026.

Category AI and Machine Learning

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security60
Transport & Reachability0
Schema Quality & AI Usability0
  • Schema not yet verified: we couldn't read the endpoint's schema, or could read only part of its tool list.Unverified
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage0
  • Tool coverage not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.Unverified
Tool Safety0
  • Tool safety not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.Unverified
Capabilities0
  • Capabilities not yet verified: we couldn't read the endpoint's capabilities.Unverified

Unverified: 5 categories

Categories scored 0 because we could not verify them: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 23 Oct 26 −51
    • Endpoint reachability: reachable → not serving MCP ▼ security
    • Stability: 0.60 → unverified ▼ security
    • Authorization: partial → unverified ▼ security
    • Tool safety: pass → unverified ▼ security
    • Transport: pass → fail ▼ security
    • Capabilities: pass → unverified ▼ functional
    • Tool coverage: 100 → unverified ▼ functional
  • 22 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

  • 21 Oct 26 +40
    • Authorization: unverified → partial ▲ security
    • Injection markers: unverified → pass ▲ security
    • Endpoint reachability: not serving MCP → reachable ▲ functional
    • Tool coverage: unverified → 100 ▲ functional
    • Stability: unverified → 0.57 ▲ functional
    • MCP protocol: unverified → pass ▲ functional
  • 20 Oct 26 +10
    • Transport: fail → pass ▲ security
  • 19 Oct 26 −49
    • Endpoint reachability: reachable → not serving MCP ▼ security
    • Stability: 0.47 → unverified ▼ security
    • Authorization: partial → unverified ▼ security
    • Tool safety: pass → unverified ▼ security
    • Transport: pass → fail ▼ security
    • Capabilities: pass → unverified ▼ functional
    • Tool coverage: 100 → unverified ▼ functional
    • First check of Schema quality: unverified functional
  • 18 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

  • 15 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

  • 14 Oct 26 −2
    • The server rewrote its instructions, which are the text every model session reads security
    • Tool “execute” rewrote its description, which is the text the model reads security
    • Tool “offer_compare” rewrote its description, which is the text the model reads security
    • Schema quality: pass → fail ▼ functional
    • Tool coverage: 0% → 15% ▲ functional
    • Schema quality: excellent → good functional
    • Server version: 1.1.0 → 1.2.0 functional
    • New tool “coding_agent_detail” functional
    • New tool “coding_agent_list” functional
    • New tool “coding_agent_releases” functional
    • New tool “coding_agent_upgrade” functional
    • New tool “price_watch” functional
    • “offer_compare” added an optional parameter “average_input_tokens” cosmetic
    • “offer_compare” added an optional parameter “average_output_tokens” cosmetic
    • “offer_compare” added an optional parameter “benchmark_id” cosmetic
    • “offer_compare” added an optional parameter “cache_hit_percent” cosmetic
    • “offer_compare” added an optional parameter “cache_write_percent” cosmetic
    • “offer_compare” added an optional parameter “execution” cosmetic
    • “offer_compare” added an optional parameter “limit” cosmetic
    • “offer_compare” added an optional parameter “minimum_context_tokens” cosmetic
    • “offer_compare” added an optional parameter “minimum_score” cosmetic
    • “offer_compare” added an optional parameter “offset” cosmetic
    • “offer_compare” added an optional parameter “open_weights” cosmetic
    • “offer_compare” added an optional parameter “require_known_host” cosmetic
    • “offer_compare” added an optional parameter “require_official_prices” cosmetic
    • “offer_compare” added an optional parameter “required_capabilities” cosmetic
    • “offer_compare” added an optional parameter “retry_percent” cosmetic
    • “offer_compare” added an optional parameter “route_type” cosmetic
    • “offer_compare” added an optional parameter “task” cosmetic
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Probed https://cheapestllmapi.com/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=cheapestllmapi.com CN=WE1,O=Google Trust Services,C=US 2 Nov 2026 31 Jan 2027 ECDSA 256 ECDSA-SHA256 1954c8050a9709d20ec54cde0ae055b0
SANs: cheapestllmapi.com, www.cheapestllmapi.com, *.www.cheapestllmapi.com
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b

Background: What to check on a remote MCP endpoint →

DNSSEC secure

Validation of cheapestllmapi.com. — Secure

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
cheapestllmapi.com. present 2371 13 Verified
cheapestllmapi.com. Verified address RRset verified with the apex keys
Authentication Inconclusive

We could not reach the endpoint well enough to judge its authorisation posture.

Result Inconclusive
HTTP status 405
Header Value
x-content-type-options nosniff

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://cheapestllmapi.com/mcp HTTP error 405
http (plaintext) http://cheapestllmapi.com/mcp HTTPS enforced 301 https://cheapestllmapi.com/mcp
MCP tools · 12 exposed · ~1,752 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
benchmark_list ~41

Discover exact benchmark IDs, editions, score units, configurations, provenance, and reviewed result counts before calling benchmark_results. Empty benchmarks are retained with resultCount 0.

Input schema present but exposes no named parameters.

NameTypeReqDescription
dataobjectyes–
metaobjectyes–

No examples provided.

benchmark_results ~79

Get reviewed scores for an exact benchmark_id from benchmark_list. Join result.modelId to catalog_search model.id. Compare scores only within the same benchmark edition and configuration. Includes source provenance and reported coding-agent usage when published. Follow pagination.hasMore.

NameTypeReqDescription
benchmark_idstringyes–
limitinteger––
offsetinteger––
NameTypeReqDescription
dataobjectyes–
metaobjectyes–
paginationobjectyes–

No examples provided.

catalog_search ~100

Find canonical model slugs, context limits, and provider prices. Optional provider_slug filters availability, not the provider in bestOffer. bestOffer is selected for 10M input + 2M output tokens; use offer_compare for your workload. Follow pagination.hasMore.

NameTypeReqDescription
category_slugstring––
pageinteger––
page_sizeinteger––
provider_slugstring––
querystring––
NameTypeReqDescription
dataobjectyes–
metaobjectyes–
paginationobjectyes–

No examples provided.

coding_agent_detail ~63

Get a coding-agent profile by agent_slug from coding_agent_list, including official source, latest stable release, freshness, and history coverage. An unavailable archive is explicit in state. This does not assert product benchmark rankings or subscription prices.

NameTypeReqDescription
agent_slugstringyes–
NameTypeReqDescription
dataobjectyes–
metaobjectyes–

No examples provided.

coding_agent_list ~73

List coding-agent profiles, interfaces, model access, official sources, latest stable release, archive counts, freshness, coverage limits, and sourced model/provider compatibility, BYOK, billing and setup facts. Includes agents whose release archive is unavailable; inspect state. Use coding_agent_releases to page through source-linked changelogs.

Input schema present but exposes no named parameters.

NameTypeReqDescription
dataobjectyes–
metaobjectyes–

No examples provided.

coding_agent_releases ~148

Search archived coding-agent releases by agent_slug, query (title, version, excerpt), topic, and channel. Stable only by default; channel all includes prereleases. Newest first; advance offset by limit while pagination.hasMore. Includes source URLs, abbreviated excerpts, and per-agent freshness/coverage. Topics are keyword mentions, not assessments. Partial coverage is explicit in meta.completeness; all unavailable returns an error. Archives reflect configured source history, not every product announcement.

NameTypeReqDescription
agent_slugstring––
channelstring––
limitinteger––
offsetinteger––
querystring––
topicstring––
NameTypeReqDescription
dataobjectyes–
metaobjectyes–
paginationobjectyes–

No examples provided.

coding_agent_upgrade ~156

Find archived changes published after an installed version or exact release ID. Get agent_slug and source_id from coding_agent_detail; default source_id is primary. Only the same publisher source and recognizable product stream are compared. Stable only by default; use channel all for prereleases. The ready response is publication order, not semantic-version precedence or an upgrade safety assessment; backports may appear. An unknown or ambiguous baseline is explicit in data.status, never treated as no changes. Follow data.pagination.hasMore with offset and limit.

NameTypeReqDescription
agent_slugstringyes–
channelstring––
installedstringyes–
limitinteger––
offsetinteger––
source_idstring––
NameTypeReqDescription
dataobjectyes–
metaobjectyes–

No examples provided.

execute ~241

Run a JavaScript async function in an isolated sandbox, composing catalog_search, model_detail, offer_compare, benchmark_results, provider_list, benchmark_list, coding_agent_list, coding_agent_detail, coding_agent_releases, coding_agent_upgrade, and price_watch as catalog.* methods. Return a small JSON value. Example: async () => { const page = await catalog.catalog_search({query: 'claude', page_size: 5}); return page.data.models.map(m => ({slug: m.slug, prices: m.bestOffer?.prices})); }. No network, secrets, or database binding is exposed. Shared worldwide execution budgets: 100 per UTC minute and 5000 per UTC day. Limits: 30 executions per client per minute (IPv6 /64), 20 catalog calls and read units (offer_compare and price_watch use 5), at most two concurrent calls, 5 seconds wall time, 50ms sandbox CPU, 32KiB code, 64KiB JSON output. JavaScript only; no imports or TypeScript syntax. Use /mcp?mode=code for only search + execute.

NameTypeReqDescription
codestringyes–
NameTypeReqDescription
callsintegeryes–
logsarrayyes–
result–yes–

No examples provided.

model_detail ~60

Get capabilities, context/output limits, and current sourced provider offers by model_slug from catalog_search. Prices are base-context rates; long-context tiers, cache writes, batch discounts, and free-tier quotas can change actual cost.

NameTypeReqDescription
model_slugstringyes–
NameTypeReqDescription
dataobjectyes–
metaobjectyes–

No examples provided.

offer_compare ~380

Rank current chat offers for up to five canonical model slugs with the website calculator: context-tier prices, cache reads/writes, retries, supported batch rates, capability/benchmark requirements, provider/route preferences, and evidence filters. Input totals include cache shares; cache_hit_percent plus cache_write_percent must be <=100. Average request sizes determine tiers and capacity. Batch is Anthropic direct only. Unknown required evidence excludes offers; missing cache-read rates use standard input rates. Inspect costs, qualification, warnings, assumptions, excludedModels, and pagination.hasMore. Free quotas, non-token fees, and media token accounting are excluded.

NameTypeReqDescription
average_input_tokensinteger––
average_output_tokensinteger––
benchmark_idstring––
cache_hit_percentnumber––
cache_write_percentnumber––
executionstring–Batch supports Anthropic direct routes with a published 50% token discount; unsupported routes are excluded.
input_tokensinteger––
limitinteger––
minimum_context_tokensinteger––
minimum_scorenumber–Zero disables score qualification; a positive threshold excludes missing exact benchmark matches.
model_slugsarrayyes–
offsetinteger––
open_weightsboolean––
output_tokensinteger––
provider_slugsarray––
require_known_hostboolean–Exclude routes without a named underlying inference provider.
require_official_pricesboolean–Require official paired input/output price verification. Cache rates may have different source provenance.
required_capabilitiesarray––
retry_percentnumber––
route_typestring––
taskstring–Coding requires the code capability; extraction requires structured output. Every offer must support chat.
NameTypeReqDescription
assumptionsarrayyes–
dataobjectyes–
metaobjectyes–
paginationobjectyes–
requirementsobjectyes–
workloadobjectyes–

No examples provided.

price_watch ~363

Read current offers meeting a monthly baseline_usd minus minimum_saving_usd. Uses the same workload, qualifications and evidence filters as offer_compare. Omit model_slugs to watch all qualifying models. Returns up to 50 cheapest matches; no account or delivery subscription is created. The same query is available as RSS at /api/v1/price-watch/feed.xml; your RSS reader handles polling and notifications. Inspect offer warnings before switching.

NameTypeReqDescription
average_input_tokensinteger––
average_output_tokensinteger––
baseline_usdnumberyes–
benchmark_idstring––
cache_hit_percentnumber––
cache_write_percentnumber––
executionstring–Batch supports Anthropic direct routes with a published 50% token discount; unsupported routes are excluded.
input_tokensinteger––
limitinteger––
minimum_context_tokensinteger––
minimum_saving_usdnumberyes–
minimum_scorenumber–Zero disables score qualification; a positive threshold excludes missing exact benchmark matches.
model_slugsarray––
offsetinteger––
open_weightsboolean––
output_tokensinteger––
provider_slugsarray––
require_known_hostboolean–Exclude routes without a named underlying inference provider.
require_official_pricesboolean–Require official paired input/output price verification. Cache rates may have different source provenance.
required_capabilitiesarray––
retry_percentnumber––
route_typestring––
taskstring–Coding requires the code capability; extraction requires structured output. Every offer must support chat.
NameTypeReqDescription
assumptionsarrayyes–
dataobjectyes–
metaobjectyes–
paginationobjectyes–
requirementsobjectyes–
watchobjectyes–
workloadobjectyes–

No examples provided.

provider_list ~48

Discover accepted provider slugs, roles, and current comparable model/offer counts. Provider minimum input and output prices are independent minima and may belong to different models; use offer_compare for an actual quote.

Input schema present but exposes no named parameters.

NameTypeReqDescription
dataobjectyes–
metaobjectyes–

No examples provided.

Install

How do I install the Cheapest LLM API MCP server?

Cheapest LLM API is a hosted endpoint at https://cheapestllmapi.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · cheapestllmapi.com

# add to Claude Code
claude mcp add --transport http tehtelabs-cheapestllmapi 'https://cheapestllmapi.com/mcp'
Common questions

What is the Cheapest LLM API MCP server?

Cheapest LLM API is an MCP server listed in the public MCP registry as io.github.tehtelabs/cheapestllmapi. Compare LLM API prices, search models and providers, and access reviewed benchmark results. This page covers its hosted endpoint (https://cheapestllmapi.com/mcp).

Is the Cheapest LLM API MCP server safe to use?

Cheapest LLM API scores 24 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Cheapest LLM API MCP server expose?

Cheapest LLM API exposes 12 tools: catalog_search, model_detail, offer_compare, benchmark_results, provider_list, and 7 more. Their descriptions and schemas cost roughly 1,752 tokens of context every time the server is loaded.

Does the Cheapest LLM API MCP server require authentication?

Its publisher declares no required credentials for Cheapest LLM API. We have not been able to confirm that against the live endpoint, and a server can require authorisation without declaring it here.

Is the Cheapest LLM API MCP server still maintained?

Cheapest LLM API is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.