IA-QA — 152 QA & Dev Tools for AI Agents

hallucination_check

Read-onlyIdempotent

Lexical hallucination check: verifies an LLM answer's words, numbers and polarity against the provided source/context. Fast, deterministic, no API key needed. Each answer sentence is aligned to its best-matching source sentence, so a number only counts as support when it sits on the SAME statement ("founded in 1998" is not grounded by "sold 1998 units"), and a negation or antonym flip against that sentence returns verdict "contradicted" — the corrupted-fact hallucination that reuses source vocabulary. Limitations: still lexical — it cannot follow a paraphrase, a synonym, or multi-sentence reasoning, so a "well_grounded" verdict means "nothing lexical found", never "verified true". Entailment: run_semantic_tests (NLI/embedding) or a calibrated judge.

Input Schema

Name	Required	Description
`cases`	No	Batch instead of answer + context: one result per case, and the worst gate overall.
`answer`	No	The LLM answer to verify (with context).
`strict`	No	Every sentence must be supported (default false).
`context`	No	The source text that should ground it.

Output Schema

Name	Required	Description	Default
`detail`	No
`message`	No
`numbers`	No
`overlap`	No
`verdict`	No
`analysis`	No
`entities`	No
`grounded`	No
`sentence`	No
`total_words`	No
`matched_words`	No
`contradictions`	No
`grounded_count`	No
`unbound_claims`	No
`grounding_score`	No
`total_sentences`	No
`ungrounded_count`	No
`unsupported_claims`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed6 schema fields changedOct 31, 2026

addedInput schema / examples

Added value: +[
+  {
+    "answer": "Le remboursement prend plus de 7 jours ouvrés.",
+    "context": "Le remboursement prend plus de 7 jours ouvrés."
+  }
+]

changedInput schema / properties / answer / description

Previous value: -"The LLM-generated answer to verify"New value: +"The LLM answer to verify (with context)."

addedInput schema / properties / cases

Added value: +{
+  "description": "Batch instead of answer + context: one result per case, and the worst gate overall.",
+  "items": {
+    "properties": {
+      "answer": {
+        "type": "string"
+      },
+      "context": {
+        "type": "string"
+      },
+      "id": {
+        "type": "string"
+      }
+    },
+    "required": [
+      "answer",
+      "context"
+    ],
+    "type": "object"
+  },
+  "maxItems": 50,
+  "type": "array"
+}

changedInput schema / properties / context / description

Previous value: -"The source/reference text that should ground the answer"New value: +"The source text that should ground it."

changedInput schema / properties / strict / description

Previous value: -"If true, every sentence in the answer must be supported (default: false)"New value: +"Every sentence must be supported (default false)."

removedInput schema / required

Removed value: -[
-  "answer",
-  "context"
-]

Changed2 schema fields changedAug 19, 2026
- addedOutput schema / properties / contradictions
```
Added value: +{}
```
- addedOutput schema / properties / unbound_claims
```
Added value: +{}
```

Changed1 schema field changedJun 21, 2026

addedOutput schema / properties

Added value: +{
+  "analysis": {},
+  "detail": {
+    "type": "string"
+  },
+  "entities": {},
+  "grounded": {
+    "type": "boolean"
+  },
+  "grounded_count": {
+    "type": "number"
+  },
+  "grounding_score": {},
+  "matched_words": {
+    "type": "number"
+  },
+  "message": {
+    "type": "string"
+  },
+  "numbers": {},
+  "overlap": {
+    "type": "number"
+  },
+  "sentence": {},
+  "total_sentences": {
+    "type": "number"
+  },
+  "total_words": {
+    "type": "number"
+  },
+  "ungrounded_count": {
+    "type": "number"
+  },
+  "unsupported_claims": {},
+  "verdict": {
+    "type": "string"
+  }
+}

Changed1 schema field changedJun 10, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "additionalProperties": true,
+  "type": "object"
+}

First observedMay 26, 2026

TDQS

Score is being calculated.

All IA-QA — 152 QA & Dev Tools for AI Agents tools Inspect

Try in Browser

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.