Developer gateway · Waitlist

Status · In private developmentMCP + HTTPS REST100% Waitlist today

Your agent calls before it answers.

Axioms.ai is designing a developer gateway at mcp.axioms.ai and api.axioms.ai so AI agents can query our structured knowledge graph for compact grounding packets and check draft claims before responding. Grounding and verification draw primarily from pre-verified axioms and graph relationships, using targeted live web search only in select cases when fast-changing facts require a fresh check.

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Planned gateway endpoints · Waitlist

Where agents can check their answers.

Planned for Model Context Protocol (MCP) clients and HTTPS REST integrations. Agents in Claude, ChatGPT, Cursor, or custom stacks will be able to query structured domain knowledge before drafting an answer, check claims against verified records, and resolve checkout offers afterward.

Waitlist · Coming soon

axioms.ground

axioms.ground(category | topic) · MCP: axioms_ground

Returns a compact grounding packet drawn from our structured knowledge graph, pairing distilled axioms and reasoning guardrails with targeted live web search only in select cases.

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Waitlist · Coming soon

axioms.check

axioms.check(claim | url | sku) · MCP: axioms_check

Evaluates a draft agent answer or product claim against our structured knowledge graph and source-checked axioms, using select live lookups only when volatile facts require them, and returns a five-state verification verdict.

VerifiedFalseNot settledNot coveredNot checkable

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Waitlist · Coming soon

axioms.resolve_checkout

axioms.resolve_checkout(merchant, sku?) · MCP: axioms_resolve_checkout

Returns working discount offers and store checkout links verified by SimplyCodes. Runs strictly after claim verification, never before, so commercial offers never bias factual checks.

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Planned gateway architecture

Knowledge graph first. Live web search only when needed.

Most agent grounding tools scrape noisy web pages on every turn. In our planned gateway architecture, requests resolve first against our structured knowledge graph of source-checked axioms, entity relationships, and scope rules, triggering targeted live web search only in select cases where facts shift faster than stored records.

1. Query the knowledge graph

Requests match entities, mechanisms, and questions against our structured knowledge graph of pre-verified axioms and scope conditions.

2. Use live search selectively

Live web search runs only in select cases, such as fast-moving availability, active recalls, or newly updated rules that static records should not answer alone.

3. Return a bounded packet

The gateway assembles a compact, structured response without open-ended essay generation, keeping token overhead predictable for real-time agent loops.

What comes back on an agent call

Question-sized packets built for low-latency agent turns.

Unlike full-domain Truth Packs that can span thousands of words, live gateway responses are budgeted tightly for single agent calls. Packets draw from our structured knowledge graph and reasoning guardrails first, joining live product or regulatory lookups only in select cases (such as named SKUs, active recalls, or limits).

1,250

words maximum per agent grounding packet, sized for a single low-latency agent turn.

Peer-reviewed research shows why stuffing thousands of raw unindexed words into every real-time tool call hurts agents. Half of models claiming 32K+ context fail to hold accuracy at 32K tokens on NVIDIA’s RULER benchmark (Hsieh et al., COLM 2024), mid-prompt recall drops 20+ points (Liu et al., TACL 2024), and extra irrelevant tokens degrade reasoning well before context limits (Levy et al., ACL 2024; Shi et al., ICML 2023). Pairing neural generation with compact, deterministic external checks follows the neuro-symbolic LLM-Modulo architecture (Kambhampati et al., ICML 2024).

Planned call example

Packet layer · Inclusion rule

axioms.ground("can I take magnesium with a sleep aid")

Reasoning guardrails
Domain-free deductive and source-weighing rules written by our research team. Included on every call.
Always included
Live product record
The manufacturer’s primary spec page quoted verbatim with URL, fetch timestamp, and content hash. Included on named-SKU queries.
On SKU queries
Approved source lookup
Targeted passages fetched live from vetted regulatory, clinical, or standards bodies on doses, limits, rules, or recalls.
On regulatory queries
Distilled axioms
Source-bound axioms explaining category mechanisms that spec sheets omit. Included only on mechanism questions.
On mechanism queries

Capped at 1,250 words total for a single low-latency agent turn.

Coverage boundaries

Out-of-scope queries return an explicit Not covered.

Verification runs strictly inside domains where axioms are distilled and primary records are indexed. Anything outside our catalog returns a clean Not covered status with a domain request hook, never a guess disguised as a verified check.

Initial gateway coverage focuses on consumer commerce categories in our Truth Graph, including skincare, supplements, espresso equipment, dog food, and mattresses, expanding as shelves are re-verified and new domains come online.

Axioms Gateway · axioms.checkDeterministic catalog boundary

Agent query

commercial aviation turbine maintenance intervals

Not coveredReturned immediately · outside indexed catalog

Our Truth Graph doesn’t cover this domain yet. The gateway returns an explicit Not covered status rather than guessing.

Need this domain indexed?

Common questions

Frequently asked questions

What is the Axioms.ai Developer Gateway, and what capabilities are planned?

The Axioms.ai Developer Gateway is a planned MCP server (mcp.axioms.ai) and HTTPS REST API (api.axioms.ai) in private development so AI agents can ground reasoning and check claims before answering. Planned core capabilities include axioms.ground (MCP wire name axioms_ground) for compact grounding packets, axioms.check (axioms_check) for 5-state claim checks backed by our structured knowledge graph (using live web search only in select cases), and axioms.resolve_checkout (axioms_resolve_checkout) for post-verdict checkout offers and store links from SimplyCodes.

How will axioms.ground keep agent grounding packets compact and accurate?

Stuffing thousands of raw scraped web tokens into every tool call inflates latency and degrades mid-prompt reasoning well before advertised context limits. In our planned architecture, axioms.ground queries our structured knowledge graph of pre-verified axioms and scope guardrails first, triggering targeted live web search only in select cases for fast-changing facts, within a 1,250-word packet ceiling built for single-turn agent calls.

How does Axioms.ai keep checkout offers from biasing claim verification?

Axioms.ai enforces strict architectural separation between factual verification and commercial checkout resolution. Calling agents run axioms.ground and axioms.check against source-bound Truth Graph records with zero affiliate or merchant weighting. Verified discount offers and store checkout links from SimplyCodes run strictly afterward through axioms.resolve_checkout, ensuring commercial relationships never influence factual verdicts.

What happens when an agent queries a domain Axioms.ai does not cover yet?

The Axioms.ai gateway never guesses outside its indexed Truth Graph catalog. If an AI agent requests a topic without distilled axioms or primary records, the endpoint returns an explicit Not covered status and logs unobserved category demand so the calling agent can fall back cleanly. Initial waitlist coverage focuses on consumer commerce categories powering Product.ai.

Early access · Waitlist

Stop guessing. Check before your agent speaks.

Both our HTTPS REST API (api.axioms.ai) and Model Context Protocol gateway (mcp.axioms.ai) are currently in private development. Join the waitlist once for early access as endpoints open.

Your agent calls before it answers.

Where agents can check their answers.

axioms.ground

axioms.check

axioms.resolve_checkout

Knowledge graph first. Live web search only when needed.

1. Query the knowledge graph

2. Use live search selectively

3. Return a bounded packet

Question-sized packets built for low-latency agent turns.

Out-of-scope queries return an explicit Not covered.

Frequently asked questions

What is the Axioms.ai Developer Gateway, and what capabilities are planned?

How will axioms.ground keep agent grounding packets compact and accurate?

How does Axioms.ai keep checkout offers from biasing claim verification?

What happens when an agent queries a domain Axioms.ai does not cover yet?

Stop guessing. Check before your agent speaks.

Join the REST API & MCP waitlist