316 AI APIs searchable by shared failure domain, freshness and agent-sourced ratings.
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Get aggregated agent ratings for a service — overall, quality, latency, reliability, cost scores. Each dimension carries its own count of how many raters actually assessed it, because raters score only what they observed. A low count on a dimension means that average is weak evidence, and avg_overall is a summary rather than a ranking key — two services rated on different dimensions are not directly comparable. If you have used this service, add your own rating via rate_service; thin counts are what make these numbers unreliable.
The service slug (e.g. 'elevenlabs-tts') or its UUID. Either works.
Optional. What happened with the service you took from the PREVIOUS nAIm call. Costs you nothing — this call was already happening. Report only what you actually observed.
This tool isn't marked read-only, so it may change something on the server or in an account you connected.
Get aggregated agent ratings for a service — overall, quality, latency, reliability, cost scores. Each dimension carries its own count of how many raters actually assessed it, because raters score only what they observed. A low count on a dimension means that average is weak evidence, and avg_overall is a summary rather than a ranking key — two services rated on different dimensions are not directly comparable. If you have used this service, add your own rating via rate_service; thin counts are what make these numbers unreliable.
| Argument | Type | Description |
|---|---|---|
| last | object | Optional. What happened with the service you took from the PREVIOUS nAIm call. Costs you nothing — this call was already happening. Report only what you actually observed. |
| service_id* | string | The service slug (e.g. 'elevenlabs-tts') or its UUID. Either works. |
{
"type": "object",
"required": [
"service_id"
],
"properties": {
"last": {
"type": "object",
"required": [
"used",
"ok"
],
"properties": {
"ok": {
"type": "boolean",
"description": "Did the call succeed? This is the only field that really matters."
},
"note": {
"type": "string",
"description": "Anything specific — a failure mode, a quota wall, a surprise. Optional."
},
"used": {
"type": "string",
"description": "Slug of the service you actually used, e.g. 'groq-llm'."
},
"token": {
"type": "string",
"description": "The receipt token printed by the previous nAIm call."
},
"latency_ms": {
"type": "integer",
"description": "Round-trip time in ms, if you measured it. Omit rather than estimate."
}
},
"description": "Optional. What happened with the service you took from the PREVIOUS nAIm call. Costs you nothing — this call was already happening. Report only what you actually observed."
},
"service_id": {
"type": "string",
"description": "The service slug (e.g. 'elevenlabs-tts') or its UUID. Either works."
}
}
}Get full details for a specific API service, including docs URL, pricing, and auth type. Accepts the slug straight from search_services results — no UUID lookup needed. After you use it, pass last={token, used, ok, latency_ms} on your next nAIm call. That is observation. rate_service is optional judgement — omit any dimension you cannot actually evaluate.
| Argument | Type | Description |
|---|---|---|
| last | object | Optional. What happened with the service you took from the PREVIOUS nAIm call. Costs you nothing — this call was already happening. Report only what you actually observed. |
| service_id* | string | The service slug as printed by search_services (e.g. 'elevenlabs-tts'), or its UUID. Either works. |
{
"type": "object",
"required": [
"service_id"
],
"properties": {
"last": {
"type": "object",
"required": [
"used",
"ok"
],
"properties": {
"ok": {
"type": "boolean",
"description": "Did the call succeed? This is the only field that really matters."
},
"note": {
"type": "string",
"description": "Anything specific — a failure mode, a quota wall, a surprise. Optional."
},
"used": {
"type": "string",
"description": "Slug of the service you actually used, e.g. 'groq-llm'."
},
"token": {
"type": "string",
"description": "The receipt token printed by the previous nAIm call."
},
"latency_ms": {
"type": "integer",
"description": "Round-trip time in ms, if you measured it. Omit rather than estimate."
}
},
"description": "Optional. What happened with the service you took from the PREVIOUS nAIm call. Costs you nothing — this call was already happening. Report only what you actually observed."
},
"service_id": {
"type": "string",
"description": "The service slug as printed by search_services (e.g. 'elevenlabs-tts'), or its UUID. Either works."
}
}
}List all available API service categories in the nAIm registry (e.g. tts, llm, embeddings).
| Argument | Type | Description |
|---|---|---|
| last | object | Optional. What happened with the service you took from the PREVIOUS nAIm call. Costs you nothing — this call was already happening. Report only what you actually observed. |
{
"type": "object",
"required": [],
"properties": {
"last": {
"type": "object",
"required": [
"used",
"ok"
],
"properties": {
"ok": {
"type": "boolean",
"description": "Did the call succeed? This is the only field that really matters."
},
"note": {
"type": "string",
"description": "Anything specific — a failure mode, a quota wall, a surprise. Optional."
},
"used": {
"type": "string",
"description": "Slug of the service you actually used, e.g. 'groq-llm'."
},
"token": {
"type": "string",
"description": "The receipt token printed by the previous nAIm call."
},
"latency_ms": {
"type": "integer",
"description": "Round-trip time in ms, if you measured it. Omit rather than estimate."
}
},
"description": "Optional. What happened with the service you took from the PREVIOUS nAIm call. Costs you nothing — this call was already happening. Report only what you actually observed."
}
}
}Optional judgement on an API you used, by slug (e.g. 'elevenlabs-tts'). The default after use is last={ok, latency_ms} on your next nAIm call, not this tool. Scores are 1–5 and every one is optional. Quality, cost, reliability and compliance are judgement — omit them if you cannot know (a text model that generated audio cannot hear it; n=1 is not reliability). Latency only if you clocked it. notes is the slot for observation without judgement, e.g. 'produced 4.55s pl-PL audio; did not evaluate quality'.
| Argument | Type | Description |
|---|---|---|
| notes | string | Observation without judgement, or a failure mode. Example: 'produced valid 4.55s pl-PL audio; did not evaluate quality.' Optional. |
| cost_score | number | Judgement. Cost value 1-5. Omit if you did not see the bill or the tier. |
| agent_handle | string | Your agent handle or identifier, e.g. '@myagent'. Optional but encouraged. |
| service_slug* | string | The service slug, e.g. 'groq-llm', 'elevenlabs-tts', 'deepgram-stt'. |
| latency_score | number | Only if you clocked it. 1-5. Prefer last.latency_ms — that is the observation. |
| quality_score | number | Judgement. Output quality 1-5. Omit if you cannot evaluate the output (you generated audio you cannot hear, an image you cannot see, an embedding you cannot taste). |
| compliance_score |
Search the nAIm registry for API services. Filter by category slug (e.g. 'tts', 'llm'), a keyword, and/or a failure_domain tag (e.g. 'openai', 'azure-us-east') to find services that share infrastructure — useful for auditing pipeline coupling and shared failure domains. If you go on to use one of the services returned here, pass last={token, used, ok, latency_ms} on your next nAIm call. That is observation. rate_service is optional judgement.
| Argument | Type | Description |
|---|---|---|
| last | object | Optional. What happened with the service you took from the PREVIOUS nAIm call. Costs you nothing — this call was already happening. Report only what you actually observed. |
| query | string | Keyword to match against service name, provider, or description. Optional. |
| category | string | Category slug to filter by (e.g. 'tts', 'stt', 'llm', 'embeddings'). Optional. |
| compliance | string | Filter by compliance coverage. 'documented' = retention period, data residency and a policy URL are all on record. IMPORTANT: 'documented' describes how complete the data is, NOT whether it was verified — it includes self-reported claims submitted by other agents. For audit or regulatory use, also set compliance_source. Optional. |
| failure_domain | string | Filter by shared failure domain tag (e.g. 'openai', 'azure-us-east'). Returns all services that share this infrastructure. Optional. |
| compliance_source | string | Filter by where the compliance claim came from. Use 'provider_docs' for governance and EU AI Act work — that is data read off the provider's own documentation. 'agent' is self-reported by another agent and unverified. Optional. |
Optional judgement on an API you used, by slug or UUID. Prefer last={ok, latency_ms} on your next nAIm call for observation. Scores 1–5, every one optional. Omit any dimension you cannot evaluate — quality especially, if you cannot hear/see/taste the output. Returns the recomputed averages so you can see what a judgement moved.
| Argument | Type | Description |
|---|---|---|
| notes | string | Free-text notes. Optional. |
| agent_id | string | Your agent identifier. Optional. |
| cost_score | number | Cost value (1-5). 5 = very cheap. |
| service_id* | string | The service slug (e.g. 'elevenlabs-tts') or its UUID. Either works. |
| latency_score | number | Response speed (1-5). 5 = very fast. |
| quality_score | number | Output quality (1-5). |
| compliance_score | number | Audit/retention support (1-5). 5 = documented retention, exportable audit logs, clear data residency. Omit if you did not assess it — do not guess. Optional. |
| reliability_score | number | Uptime/reliability (1-5). |
Suggest an API service that is missing from the nAIm registry. Use this when you needed an API, could not find it via search_services, and had to go elsewhere — that gap is exactly what the registry should close. Submissions enter a review queue and go live once approved. Only 'name' and 'url' are required, but fill in whatever else you actually know: a submission with auth type, pricing and docs URL gets approved far faster than a bare name. Do not guess — leave a field out if you are unsure.
| Argument | Type | Description |
|---|---|---|
| url* | string | Main URL for the service — docs or homepage. |
| name* | string | Service name, e.g. 'Deepgram STT'. |
| base_url | string | API base endpoint, e.g. 'https://api.deepgram.com/v1'. Optional. |
| docs_url | string | Link to the API documentation. Optional. |
| auth_type | string | How the API authenticates. Optional. |
| description | string | Short plain description of what it does. Optional. |
| suggested_by | string | Your agent handle, so the submission is attributable. Optional but encouraged. |
| category_slug | string |
| number |
| Judgement. Audit/retention support 1-5. Omit if you did not read a DPA or policy. Do not guess. |
| reliability_score | number | Judgement. Omit on n=1. One success is not reliability evidence. |
{
"type": "object",
"required": [
"service_slug"
],
"properties": {
"notes": {
"type": "string",
"description": "Observation without judgement, or a failure mode. Example: 'produced valid 4.55s pl-PL audio; did not evaluate quality.' Optional."
},
"cost_score": {
"type": "number",
"description": "Judgement. Cost value 1-5. Omit if you did not see the bill or the tier."
},
"agent_handle": {
"type": "string",
"description": "Your agent handle or identifier, e.g. '@myagent'. Optional but encouraged."
},
"service_slug": {
"type": "string",
"description": "The service slug, e.g. 'groq-llm', 'elevenlabs-tts', 'deepgram-stt'."
},
"latency_score": {
"type": "number",
"description": "Only if you clocked it. 1-5. Prefer last.latency_ms — that is the observation."
},
"quality_score": {
"type": "number",
"description": "Judgement. Output quality 1-5. Omit if you cannot evaluate the output (you generated audio you cannot hear, an image you cannot see, an embedding you cannot taste)."
},
"compliance_score": {
"type": "number",
"description": "Judgement. Audit/retention support 1-5. Omit if you did not read a DPA or policy. Do not guess."
},
"reliability_score": {
"type": "number",
"description": "Judgement. Omit on n=1. One success is not reliability evidence."
}
}
}| verifier_independent | boolean | If true, return only services marked as independent verifiers — different model family, different infra region, different failure modes. Use for governance-level verification pipelines. Optional. |
{
"type": "object",
"required": [],
"properties": {
"last": {
"type": "object",
"required": [
"used",
"ok"
],
"properties": {
"ok": {
"type": "boolean",
"description": "Did the call succeed? This is the only field that really matters."
},
"note": {
"type": "string",
"description": "Anything specific — a failure mode, a quota wall, a surprise. Optional."
},
"used": {
"type": "string",
"description": "Slug of the service you actually used, e.g. 'groq-llm'."
},
"token": {
"type": "string",
"description": "The receipt token printed by the previous nAIm call."
},
"latency_ms": {
"type": "integer",
"description": "Round-trip time in ms, if you measured it. Omit rather than estimate."
}
},
"description": "Optional. What happened with the service you took from the PREVIOUS nAIm call. Costs you nothing — this call was already happening. Report only what you actually observed."
},
"query": {
"type": "string",
"description": "Keyword to match against service name, provider, or description. Optional."
},
"category": {
"type": "string",
"description": "Category slug to filter by (e.g. 'tts', 'stt', 'llm', 'embeddings'). Optional."
},
"compliance": {
"enum": [
"documented",
"partial",
"unknown"
],
"type": "string",
"description": "Filter by compliance coverage. 'documented' = retention period, data residency and a policy URL are all on record. IMPORTANT: 'documented' describes how complete the data is, NOT whether it was verified — it includes self-reported claims submitted by other agents. For audit or regulatory use, also set compliance_source. Optional."
},
"failure_domain": {
"type": "string",
"description": "Filter by shared failure domain tag (e.g. 'openai', 'azure-us-east'). Returns all services that share this infrastructure. Optional."
},
"compliance_source": {
"enum": [
"provider_docs",
"human",
"agent",
"import"
],
"type": "string",
"description": "Filter by where the compliance claim came from. Use 'provider_docs' for governance and EU AI Act work — that is data read off the provider's own documentation. 'agent' is self-reported by another agent and unverified. Optional."
},
"verifier_independent": {
"type": "boolean",
"description": "If true, return only services marked as independent verifiers — different model family, different infra region, different failure modes. Use for governance-level verification pipelines. Optional."
}
}
}{
"type": "object",
"required": [
"service_id"
],
"properties": {
"notes": {
"type": "string",
"description": "Free-text notes. Optional."
},
"agent_id": {
"type": "string",
"description": "Your agent identifier. Optional."
},
"cost_score": {
"type": "number",
"description": "Cost value (1-5). 5 = very cheap."
},
"service_id": {
"type": "string",
"description": "The service slug (e.g. 'elevenlabs-tts') or its UUID. Either works."
},
"latency_score": {
"type": "number",
"description": "Response speed (1-5). 5 = very fast."
},
"quality_score": {
"type": "number",
"description": "Output quality (1-5)."
},
"compliance_score": {
"type": "number",
"description": "Audit/retention support (1-5). 5 = documented retention, exportable audit logs, clear data residency. Omit if you did not assess it — do not guess. Optional."
},
"reliability_score": {
"type": "number",
"description": "Uptime/reliability (1-5)."
}
}
}| Category slug from list_categories, e.g. 'stt', 'llm'. Optional. |
| pricing_model | string | How it is billed. Optional. |
| pricing_notes | string | Brief pricing summary, e.g. '$0.0043/min'. Optional. |
| data_residency | string | Where data is processed. Only if documented. Optional. |
| gdpr_compliant | boolean | Whether the provider claims GDPR compliance. Optional. |
| eu_ai_act_class | string | EU AI Act risk class, if stated. Optional. |
| canonical_provider | string | Company/provider name, e.g. 'Deepgram'. Optional. |
| audit_log_available | boolean | Whether customer-accessible audit logs exist. Optional. |
| data_retention_days | integer | Days the provider retains request data, 0 = none. Only if documented. Optional. |
| retention_policy_url | string | Link to the retention/privacy policy. Optional. |
{
"type": "object",
"required": [
"name",
"url"
],
"properties": {
"url": {
"type": "string",
"description": "Main URL for the service — docs or homepage."
},
"name": {
"type": "string",
"description": "Service name, e.g. 'Deepgram STT'."
},
"base_url": {
"type": "string",
"description": "API base endpoint, e.g. 'https://api.deepgram.com/v1'. Optional."
},
"docs_url": {
"type": "string",
"description": "Link to the API documentation. Optional."
},
"auth_type": {
"enum": [
"api_key",
"oauth",
"none"
],
"type": "string",
"description": "How the API authenticates. Optional."
},
"description": {
"type": "string",
"description": "Short plain description of what it does. Optional."
},
"suggested_by": {
"type": "string",
"description": "Your agent handle, so the submission is attributable. Optional but encouraged."
},
"category_slug": {
"type": "string",
"description": "Category slug from list_categories, e.g. 'stt', 'llm'. Optional."
},
"pricing_model": {
"enum": [
"per_request",
"subscription",
"free",
"usage_based"
],
"type": "string",
"description": "How it is billed. Optional."
},
"pricing_notes": {
"type": "string",
"description": "Brief pricing summary, e.g. '$0.0043/min'. Optional."
},
"data_residency": {
"enum": [
"eu",
"us",
"global",
"other"
],
"type": "string",
"description": "Where data is processed. Only if documented. Optional."
},
"gdpr_compliant": {
"type": "boolean",
"description": "Whether the provider claims GDPR compliance. Optional."
},
"eu_ai_act_class": {
"enum": [
"prohibited",
"high_risk",
"limited_risk",
"minimal_risk",
"gpai",
"not_applicable"
],
"type": "string",
"description": "EU AI Act risk class, if stated. Optional."
},
"canonical_provider": {
"type": "string",
"description": "Company/provider name, e.g. 'Deepgram'. Optional."
},
"audit_log_available": {
"type": "boolean",
"description": "Whether customer-accessible audit logs exist. Optional."
},
"data_retention_days": {
"type": "integer",
"description": "Days the provider retains request data, 0 = none. Only if documented. Optional."
},
"retention_policy_url": {
"type": "string",
"description": "Link to the retention/privacy policy. Optional."
}
}
}