Fact Verification MCP
Server Details
Verify claims with verdict, confidence & cited sources; batch verify, source checks, daily brief.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 4.3/5 across 5 of 5 tools scored.
Each tool serves a distinct purpose: single claim verification, batch verification, daily summary, source credibility check, and protocol info. No overlapping functionality.
Names follow no consistent pattern: 'verify_claim' and 'batch_verify' are verb_noun, but 'daily_brief' is adjective_noun, 'mint_info' is noun_noun, and 'source_check' is noun_verb. Mixing conventions reduces predictability.
With 5 tools, the server is well-scoped for fact-checking. Each tool addresses a core need without unnecessary bloat or scarcity.
Covers primary workflows: single and batch verification, source assessment, daily digest, and ecosystem info. Minor gap: no tool for retrieving cached results or list of past checks, but overall surface is solid.
Available Tools
5 toolsbatch_verifyAInspect
Verify many factual claims in one batch fact-check call. Returns an array of verify_claim results (verdict + confidence + cited sources + explanation), each cross-referencing web search and the FoundryNet data network, plus the batch pricing and a MINT provenance attestation over the whole batch. Each claim is cached for 24h, so repeats are cheap.
PAID: $0.01 USDC per claim, minimum $0.05 USDC per batch, after the daily free allowance (10/day). On a 402, pay the returned Solana memo and re-call with the SAME args plus payment_tx=. An Authorization: Bearer fnet_ key bypasses it.
| Name | Required | Description | Default |
|---|---|---|---|
| claims | Yes | array of claim strings (1-50). | |
| agent_id | No | stable id for your agent (scopes the free-tier counter). | |
| payment_tx | No | Solana tx signature, when re-calling after a 402. |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description fully handles behavioral disclosure. It reveals the tool is paid, caches claims for 24h, requires Solana payment on 402, and returns cross-referenced results. Lacks rate limits but is otherwise transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with a clear main purpose sentence followed by payment details in a separate paragraph. Though slightly lengthy, every sentence adds value. Front-loads the core function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (payment, caching, error handling), the description covers most aspects. Output schema exists but description already summarizes return values. Could mention rate limits or auth key format but is otherwise complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, but the description adds meaningful context: claims array size (1-50), agent_id scopes free counter, payment_tx usage for retries. It explains the payment flow beyond schema definitions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Verify many factual claims in one batch fact-check call,' specifying the verb (verify), resource (claims), and scope (batch). It distinguishes from sibling tools like verify_claim and source_check by focusing on batch processing.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description includes detailed payment instructions, free allowance, caching policy, and how to handle 402 errors with payment_tx. It implicitly guides when to use (batch vs single via siblings) but could explicitly state not to use for single claims.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
daily_briefAInspect
Get the curated daily fact-check brief — the day's claim-verification signals in one package: the top disputed claims, the most-verified claims, the trending topics being checked, and counts by verdict + domain. Each brief carries a MINT provenance attestation so a buyer can verify it was produced by this server, unaltered.
PAID: $5 USDC per brief. Defaults to today (UTC); a brief expires at the next midnight UTC. On a 402, pay the returned Solana memo and re-call with the SAME args plus payment_tx=. An Authorization: Bearer fnet_ key bypasses payment.
| Name | Required | Description | Default |
|---|---|---|---|
| date | No | brief date YYYY-MM-DD (default today, UTC). | |
| agent_id | No | stable id for your agent (scopes the free-tier counter). | |
| payment_tx | No | Solana tx signature, when re-calling after a 402. |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so description carries full burden. It discloses that the tool is paid ($5 USDC), defaults to today (UTC), expires at midnight UTC, and requires re-call with payment_tx on 402. The provenance attestation is also mentioned. This is highly transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two focused paragraphs: first describes content and attestation; second details payment and expiration. No fluff, every sentence provides value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (paid, payment retry, expiration, provenance), the description covers all critical aspects. The output schema exists but the description already outlines expected contents.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, but the description adds meaning: 'date' defaults to today (UTC), 'agent_id' scopes free-tier counter, and 'payment_tx' is for re-calling after a 402. This enriches the schema definitions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states it returns a 'curated daily fact-check brief' with specific components (top disputed claims, most-verified claims, trending topics, counts by verdict+domain) and a provenance attestation. This clearly differentiates it from siblings like batch_verify or verify_claim.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains when to use (get daily brief) and provides detailed payment instructions, including handling 402 errors and the Authorization header bypass. It does not explicitly state when not to use or list alternatives, but the context is sufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
mint_infoAInspect
Get FoundryNet Data Network info + MINT Protocol attestation details. FREE.
Returns how to attest your agent's fact-verification results with MINT Protocol for verifiable on-chain proof, the MINT MCP endpoint, and the sister data servers across the full FoundryNet Data Network (financial-signals, cyber-intel, patent-intel, gov-contracts, compliance, brand-intel, weather-intel, academic-intel, oss-intel, social-intel).
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description says 'FREE' and describes the return content, but with no annotations, it fails to disclose auth requirements or rate limits. It does not contradict any annotation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the core purpose and is concise, covering key elements without unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description adequately explains the tool's output given its simplicity. However, it could be more specific about the exact fields returned, but with an output schema present, it is acceptable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With zero parameters, the schema is empty. The description adds value by detailing the returned information, achieving a baseline score of 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Get FoundryNet Data Network info + MINT Protocol attestation details', providing a specific verb and resource. It distinguishes from sibling tools like verify_claim which focus on verification.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit when-to-use guidance is provided. The description implies it provides foundational info for attestation but does not compare with alternatives like daily_brief or source_check.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
source_checkAInspect
Check a source URL's credibility and trustworthiness for source verification — domain age (via RDAP), trust signals, bias indicators, and publication history. Use it to weight whether a citation is trustworthy. Results carry a MINT provenance attestation and are cached for 24h.
PAID: $0.01 USDC per check after the daily free allowance (10/day). On a 402, pay the returned Solana memo and re-call with the SAME args plus payment_tx=. An Authorization: Bearer fnet_ key bypasses it.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | the source URL or domain to assess, e.g. "https://reuters.com/...". | |
| agent_id | No | stable id for your agent (scopes the free-tier counter). | |
| payment_tx | No | Solana tx signature, when re-calling after a 402. |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, but the description fully discloses behavioral traits: MINT provenance attestation, 24h cache, payment model ($0.01 after 10/day), 402 handling, and key bypass. This covers all necessary aspects for safe usage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single paragraph of 6 sentences, front-loaded with purpose, and each sentence adds unique value. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (3 parameters, output schema, payment model), the description covers purpose, usage, caching, error handling, and authentication, making it complete for agent invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the description adds value beyond schema by explaining the payment flow (agent_id scopes free counter, payment_tx for 402 retry). This helps the agent use parameters correctly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it checks a source URL's credibility and trustworthiness, specifying domain age, trust signals, bias indicators, and publication history. It distinguishes from siblings like batch_verify and verify_claim by focusing on source verification.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'Use it to weight whether a citation is trustworthy' and provides payment instructions. However, it does not mention when not to use or compare with sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
verify_claimAInspect
Verify a factual claim and return a verdict, confidence score, and cited sources. Classifies the claim's domain (company / finance / patents / regulation), cross-references web search and the relevant FoundryNet data network source, and returns a verdict (supported | disputed | unverifiable) with a 0-100 confidence, the cited sources, and a short explanation. Results carry a MINT provenance attestation and are cached for 24h.
PAID: $0.02 USDC per verification after a daily free allowance (10/day). On a 402, pay the returned Solana memo and re-call with the SAME args plus payment_tx=. agent_id scopes your allowance; an Authorization: Bearer fnet_ key bypasses it.
| Name | Required | Description | Default |
|---|---|---|---|
| claim | Yes | the factual statement to verify, e.g. "Acme Corp was founded in 2009". | |
| context | No | optional extra context that disambiguates the claim. | |
| agent_id | No | stable id for your agent (scopes the free-tier counter). | |
| payment_tx | No | Solana tx signature, when re-calling after a 402. |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses paid usage, free allowance, caching (24h), 402 retry mechanism, provenance attestation, and that agent_id scopes allowance. It does not explicitly state read-only nature, but the behavior is well-covered.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two paragraphs: first focuses on core functionality, second on payment details. It is front-loaded and each sentence adds value, though it could be slightly more concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 4 parameters (1 required), presence of output schema, and no annotations, the description covers all needed context: what the tool does, how to handle payment, caching, and domain classification. No essential information is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and description adds meaning: explains agent_id's role in scoping free tier, payment_tx for re-calls, and context as disambiguation. It provides functional context beyond parameter names and types.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'verify' and resource 'factual claim', and outlines the return values (verdict, confidence, sources). It implies differentiation from siblings like batch_verify (single vs batch) but does not explicitly distinguish, so not a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly states when to use (to verify a factual claim) and provides context on cost and retry logic, but does not explicitly mention when not to use or offer alternatives among siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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