The request names "veracity" and asks for a semantic API, but none of the candidate sources is a product called dVeracity or a semantic API under that name. The closest match is GitHub's doublecheck action 1, which extracts claims and checks them against supporting or contradicting sources, the verification-focused function the name suggests. Other candidates offer semantic search but not veracity checking, so the answer is limited.
A question back: Did you mean a specific product called dVeracity, or a general API for checking the truth of claims? If it is the first, please share its URL.
- 1
GitHubgithub.comverified and signed
Its indexed doublecheck action runs a three-layer verification pipeline that extracts verifiable claims from AI output and finds supporting or contradicting sources 1.
official:MCP server · @github/mcp-registrySDK · @github/copilot-sdklibrary · CodeQL: StubCLI · specifyrepository · copilot-engine-sdk+2,577 community tools built for it
for agents: doublecheck · semantic-kernel · snowflake-semanticview
- 2
Qdrantqdrant.techverified and signed
Open-source vector search engine with a convenient API for fast similarity search, the semantic-search layer a veracity-checking system could be built on 4.
official:MCP server · mcp-code-snippetsSDK · qdrant-clientrepository · page-searchskill · qdrant-clients-sdkSDK · fastembed+45 community tools built for it
for agents: sentence-transformers · qdrant-search-quality · neural
- 3
Meilisearch Documentationmeilisearch.comverified and signed
Indexes content and exposes it through full-text and semantic search from a single API, usable as a semantic retrieval API 8.
+5 community tools built for it
for agents: meilisearch · getSynonyms · getTypoTolerance
Sources
- 1GitHub · Change is constant. GitHub keeps you ahead. · GitHub · GitHubgithub.com · read 2026-10-29
- 4Qdrant - Vector Search Engineqdrant.tech · read 2026-10-29
- 8Welcome to Meilisearch - Meilisearch Documentationmeilisearch.com · read 2026-10-29
For agents: the 10 actions behind this answer
doublecheck · doublecheck verified and signed
Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for human review.
load_semantic_model · gravitino found in code, not yet checked
Load a Semantic Model's metadata and complete semantic definition.
verifyToken · Vercel API verified and signed
Verify a login request to get an authentication token
sentence-transformers · fastembed verified and signed
expo-api-routes · expo-api-routes verified and signed
Guidelines for creating API routes in Expo Router with EAS Hosting
building-dbt-semantic-layer · building-dbt-semantic-layer verified and signed
Use when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines. Covers MetricFlow configuration, metric types (simple, derived, cumulative, ratio, conversion), and validation for both latest and legacy YAML specs.
search_semantic · Paper Search verified and signed
Search academic papers from Semantic Scholar. Args: query: Search query string (e.g., 'machine learning'). year: Optional year filter (e.g., '2019', '2016-2020', '2010-', '-2015'). max_results: Maximum number of papers to return (default: 10). Returns: List o
meilisearch · Meilisearch Documentation verified and signed
Use when building search interfaces, semantic search with
GET_verified_senders-verify-token · Email Activity (beta) verified and signed
Verify Sender Request
create_memory · Lanonasis MCP Server found in code, not yet checked
Create a new memory entry with vector embedding for semantic search
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.