How Riveter’s scores are calculated
The full audit trail, recomputed from the verdict data at build time through the same code that produced the leaderboard: verdict × quality × story weight per cell, cells sum to dimension scores, dimensions blend into the PA Score. Every number on the product page is reproducible from this page alone; for why the formula looks like this, see the methodology.
verdict factors: full ×1.0 · partial ×0.6 · disputed ×0.3 · none ×0.0 · n/a excluded from both sides · cell points = weight × quality × factor · cell max = weight × 10
PA Score22/100
Agent-ready 28.7 × 0.30 = 8.61
API quality 2.4 × 0.20 = 0.48
Openness 6.0 × 0.20 = 1.20
Built-in AI 41.8 × 0.15 = 6.27
Automation 38.0 × 0.15 = 5.70
(8.61 + 0.48 + 1.20 + 6.27 + 5.70) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 22.26 ÷ 1.00 = 22.3
Scores are stored to 1 decimal; the product page’s pills round to whole numbers for display. Each dimension below shows the stories, verdicts, and cited evidence behind its number.
Agent-ready28.7/100×0.30 of the PA blend
Outside-in: can YOUR agent reach and drive this product — API, MCP, CLI, headless runs, agent docs.
Point an agent at llms.txt or agent-oriented docsweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
- [probe] https://docs.riveterhq.com/llms.txt“PROBE llms.txt: HTTP 404 at https://docs.riveterhq.com/llms.txt”
- [probe] https://docs.riveterhq.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.riveterhq.com/openapi.json, https://docs.riveterhq.com/swagger.json, https://docs.riveterhq.com/api/openapi.json, https://docs.riveterhq.com/.well-known/openapi.json)”
Run the product headlessly / in CI for automationweight 2
2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max
- [claimed-docs] https://docs.riveterhq.com“Pass webhook_url in the JSON body when starting a run and Riveter POSTs the full results to your URL when it finishes (events: run.completed, run.stopped, run.finished).”
- [claimed-docs] https://docs.riveterhq.com“dry_run: true — validate the request and return a credit estimate without creating or charging anything.”
- [claimed-docs] https://docs.riveterhq.com“max_credits — a ceiling. When the estimate's maximum exceeds it, the request is refused with 422 credit_cap_exceeded and nothing is charged.”
- [claimed-docs] https://docs.riveterhq.com“the SDKs handle auth, retries (429s and transient GET failures), the wait long-poll, polling until a run finishes (wait_for_result), and pagination”
- [claimed-docs] https://github.com/riveterhq/riveter-go“run, err := client.Enrich(ctx, riveter.EnrichParams{ Prompt: "Research each company", Attributes: []string{"CEO", "Employee Count"},”
- [claimed-docs] https://www.riveterhq.com“Schedule any project to monitor for changes and keep your data fresh.”
Plug MCP servers into this product so it can use their toolsweight 3
3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max
- [claimed-docs] https://docs.riveterhq.com“Use Riveter from Claude, ChatGPT, Cursor, or any MCP-compatible AI assistant. Pick one of the two ways to connect.”
- [claimed-docs] https://docs.riveterhq.com“Runs on your machine and needs Node.js and an API key. Use it when your client cannot reach remote servers.”
Connect an agent via an official MCP serverweight 3
3 (weight) × 7 (quality) × 1.0 (full) = 21.0 of 30 max
- [claimed-docs] https://docs.riveterhq.com“Use Riveter from Claude, ChatGPT, Cursor, or any MCP-compatible AI assistant. Pick one of the two ways to connect.”
- [claimed-docs] https://docs.riveterhq.com“Runs on your machine and needs Node.js and an API key. Use it when your client cannot reach remote servers.”
Use an official CLIweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
- [claimed-docs] https://docs.riveterhq.com“Use Riveter from Claude, ChatGPT, Cursor, or any MCP-compatible AI assistant. Pick one of the two ways to connect.”
- [claimed-docs] https://docs.riveterhq.com“Runs on your machine and needs Node.js and an API key. Use it when your client cannot reach remote servers.”
- [claimed-docs] https://docs.riveterhq.com“the SDKs handle auth, retries (429s and transient GET failures), the wait long-poll, polling until a run finishes (wait_for_result), and pagination”
- [claimed-docs] https://github.com/riveterhq/riveter-go“run, err := client.Enrich(ctx, riveter.EnrichParams{ Prompt: "Research each company", Attributes: []string{"CEO", "Employee Count"},”
Drive the product through a documented public APIweight 3
3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max
- [claimed-docs] https://docs.riveterhq.com“Pass webhook_url in the JSON body when starting a run and Riveter POSTs the full results to your URL when it finishes (events: run.completed, run.stopped, run.finished).”
- [claimed-docs] https://docs.riveterhq.com“dry_run: true — validate the request and return a credit estimate without creating or charging anything.”
- [claimed-docs] https://docs.riveterhq.com“max_credits — a ceiling. When the estimate's maximum exceeds it, the request is refused with 422 credit_cap_exceeded and nothing is charged.”
- [claimed-docs] https://docs.riveterhq.com“the SDKs handle auth, retries (429s and transient GET failures), the wait long-poll, polling until a run finishes (wait_for_result), and pagination”
- [claimed-docs] https://github.com/riveterhq/riveter-go“run, err := client.Enrich(ctx, riveter.EnrichParams{ Prompt: "Research each company", Attributes: []string{"CEO", "Employee Count"},”
- [claimed-docs] https://docs.riveterhq.com“Use Riveter from Claude, ChatGPT, Cursor, or any MCP-compatible AI assistant. Pick one of the two ways to connect.”
- [probe] https://docs.riveterhq.com/llms.txt“PROBE llms.txt: HTTP 404 at https://docs.riveterhq.com/llms.txt”
- [probe] https://docs.riveterhq.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.riveterhq.com/openapi.json, https://docs.riveterhq.com/swagger.json, https://docs.riveterhq.com/api/openapi.json, https://docs.riveterhq.com/.well-known/openapi.json)”
Issue scoped/least-privilege API credentials for an agentweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Build against official SDKsweight 2
2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max
- [claimed-docs] https://docs.riveterhq.com“the SDKs handle auth, retries (429s and transient GET failures), the wait long-poll, polling until a run finishes (wait_for_result), and pagination”
- [claimed-docs] https://github.com/riveterhq/riveter-go“run, err := client.Enrich(ctx, riveter.EnrichParams{ Prompt: "Research each company", Attributes: []string{"CEO", "Employee Count"},”
Subscribe to events via webhooksweight 2
2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max
- [claimed-docs] https://docs.riveterhq.com“Pass webhook_url in the JSON body when starting a run and Riveter POSTs the full results to your URL when it finishes (events: run.completed, run.stopped, run.finished).”
Agent-ready = 60.2 ÷ 210 × 100 = 28.7
API quality2.4/100×0.20 of the PA blend
The programmable surface once an agent is there — machine-readable spec, interactive docs, sandbox, versioning discipline.
Explore an interactive API reference with runnable examplesweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
- [probe] https://docs.riveterhq.com/llms.txt“PROBE llms.txt: HTTP 404 at https://docs.riveterhq.com/llms.txt”
- [probe] https://docs.riveterhq.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.riveterhq.com/openapi.json, https://docs.riveterhq.com/swagger.json, https://docs.riveterhq.com/api/openapi.json, https://docs.riveterhq.com/.well-known/openapi.json)”
Download a machine-readable API spec (OpenAPI or equivalent)weight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
- [probe] https://docs.riveterhq.com/llms.txt“PROBE llms.txt: HTTP 404 at https://docs.riveterhq.com/llms.txt”
- [probe] https://docs.riveterhq.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.riveterhq.com/openapi.json, https://docs.riveterhq.com/swagger.json, https://docs.riveterhq.com/api/openapi.json, https://docs.riveterhq.com/.well-known/openapi.json)”
Test against a sandbox environment without touching production dataweight 1
1 (weight) × 4 (quality) × 0.6 (partial) = 2.4 of 10 max
- [claimed-docs] https://docs.riveterhq.com“dry_run: true — validate the request and return a credit estimate without creating or charging anything.”
- [claimed-docs] https://docs.riveterhq.com“max_credits — a ceiling. When the estimate's maximum exceeds it, the request is refused with 422 credit_cap_exceeded and nothing is charged.”
Rely on versioned APIs with a documented deprecation policyweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
- [probe] https://docs.riveterhq.com/llms.txt“PROBE llms.txt: HTTP 404 at https://docs.riveterhq.com/llms.txt”
- [probe] https://docs.riveterhq.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.riveterhq.com/openapi.json, https://docs.riveterhq.com/swagger.json, https://docs.riveterhq.com/api/openapi.json, https://docs.riveterhq.com/.well-known/openapi.json)”
3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max
- [claimed-docs] https://docs.riveterhq.com“the SDKs handle auth, retries (429s and transient GET failures), the wait long-poll, polling until a run finishes (wait_for_result), and pagination”
- [probe] https://docs.riveterhq.com/llms.txt“PROBE llms.txt: HTTP 404 at https://docs.riveterhq.com/llms.txt”
- [probe] https://docs.riveterhq.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.riveterhq.com/openapi.json, https://docs.riveterhq.com/swagger.json, https://docs.riveterhq.com/api/openapi.json, https://docs.riveterhq.com/.well-known/openapi.json)”
API quality = 2.4 ÷ 100 × 100 = 2.4
Openness6.0/100×0.20 of the PA blend
Can you leave, inspect, or self-host — data export, open source, portability.
Do everything through the API that I can do in the UIweight 2
2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max
- [claimed-docs] https://docs.riveterhq.com“You can build one from a natural-language prompt or a structured spec, and Riveter will generate the rows for you.”
- [claimed-docs] https://docs.riveterhq.com“A scrape lets you turn a URL into easily parseable text.”
- [claimed-docs] https://docs.riveterhq.com“A quick_search lets you quickly web search a query, and pull structured results with urls, titles, and snippets — synchronously, in one request.”
- [claimed-docs] https://docs.riveterhq.com“A search_agent call asks one question and gets one AI-researched answer back — the same agent loop that fills a single enrichment cell, without setting up an enrichment.”
- [claimed-docs] https://docs.riveterhq.com“Pass webhook_url in the JSON body when starting a run and Riveter POSTs the full results to your URL when it finishes (events: run.completed, run.stopped, run.finished).”
- [claimed-docs] https://docs.riveterhq.com“dry_run: true — validate the request and return a credit estimate without creating or charging anything.”
- [claimed-docs] https://www.riveterhq.com“Schedule any project to monitor for changes and keep your data fresh.”
- [claimed-docs] https://www.riveterhq.com“For fast moving data like scores or election results, you can refresh as often as every minute.”
- [probe] https://docs.riveterhq.com/llms.txt“PROBE llms.txt: HTTP 404 at https://docs.riveterhq.com/llms.txt”
- [probe] https://docs.riveterhq.com/openapi.json“PROBE openapi: all candidate paths 404 (https://docs.riveterhq.com/openapi.json, https://docs.riveterhq.com/swagger.json, https://docs.riveterhq.com/api/openapi.json, https://docs.riveterhq.com/.well-known/openapi.json)”
Export all of my data in open formats and leaveweight 3
3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Read the product's source under an open licenseweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Self-host the core productweight 3
3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max
- [claimed-docs] https://docs.riveterhq.com“Use Riveter from Claude, ChatGPT, Cursor, or any MCP-compatible AI assistant. Pick one of the two ways to connect.”
- [claimed-docs] https://docs.riveterhq.com“Runs on your machine and needs Node.js and an API key. Use it when your client cannot reach remote servers.”
Openness = 6.0 ÷ 100 × 100 = 6.0
Built-in AI41.8/100×0.15 of the PA blend
Inside-out: how agentic the product itself is for its users — built-in assistants, autonomous features.
Get AI-generated insights and suggestions from my data inside the productweight 2
2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max
- [claimed-docs] https://docs.riveterhq.com“An enrichment takes rows of input data and fills in new columns using AI, web searches, web scrapes, and other tools.”
- [claimed-docs] https://docs.riveterhq.com“You can build one from a natural-language prompt or a structured spec, and Riveter will generate the rows for you.”
- [claimed-docs] https://docs.riveterhq.com“A search_agent call asks one question and gets one AI-researched answer back — the same agent loop that fills a single enrichment cell, without setting up an enrichment.”
- [claimed-docs] https://www.riveterhq.com“Riveter uses AI agents that interpret pages the way a person would, so the same configuration keeps working after a redesign.”
- [claimed-docs] https://www.riveterhq.com“It reads PDFs and images, calls third party APIs as part of a workflow, and combines those results with data pulled from the web in a single output.”
Set up automations that run autonomously in the backgroundweight 2
2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max
- [claimed-docs] https://www.riveterhq.com“Schedule any project to monitor for changes and keep your data fresh.”
- [claimed-docs] https://www.riveterhq.com“For fast moving data like scores or election results, you can refresh as often as every minute.”
- [claimed-docs] https://docs.riveterhq.com“Pass webhook_url in the JSON body when starting a run and Riveter POSTs the full results to your URL when it finishes (events: run.completed, run.stopped, run.finished).”
Delegate tasks to a built-in AI assistant inside the productweight 3
3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max
- [claimed-docs] https://docs.riveterhq.com“An enrichment takes rows of input data and fills in new columns using AI, web searches, web scrapes, and other tools.”
- [claimed-docs] https://docs.riveterhq.com“A search_agent call asks one question and gets one AI-researched answer back — the same agent loop that fills a single enrichment cell, without setting up an enrichment.”
- [claimed-docs] https://www.riveterhq.com“Riveter uses AI agents that interpret pages the way a person would, so the same configuration keeps working after a redesign.”
- [claimed-docs] https://www.riveterhq.com“It reads PDFs and images, calls third party APIs as part of a workflow, and combines those results with data pulled from the web in a single output.”
Operate the product with natural-language commandsweight 2
2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max
- [claimed-docs] https://docs.riveterhq.com“You can build one from a natural-language prompt or a structured spec, and Riveter will generate the rows for you.”
- [claimed-docs] https://docs.riveterhq.com“A search_agent call asks one question and gets one AI-researched answer back — the same agent loop that fills a single enrichment cell, without setting up an enrichment.”
- [claimed-docs] https://docs.riveterhq.com“Use Riveter from Claude, ChatGPT, Cursor, or any MCP-compatible AI assistant. Pick one of the two ways to connect.”
- [claimed-docs] https://github.com/riveterhq/riveter-go“run, err := client.Enrich(ctx, riveter.EnrichParams{ Prompt: "Research each company", Attributes: []string{"CEO", "Employee Count"},”
Apply a preset configuration tuned for research agents that returns structured, citable outputweight 2
2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Built-in AI = 46.0 ÷ 110 × 100 = 41.8
Automation38.0/100×0.15 of the PA blend
Depth of automation primitives — rules, scheduling, bulk operations, webhooks.
Perform bulk operations across many items at onceweight 2
2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max
- [claimed-docs] https://docs.riveterhq.com“An enrichment takes rows of input data and fills in new columns using AI, web searches, web scrapes, and other tools.”
- [claimed-docs] https://docs.riveterhq.com“You can build one from a natural-language prompt or a structured spec, and Riveter will generate the rows for you.”
- [claimed-docs] https://www.riveterhq.com“Schedule any project to monitor for changes and keep your data fresh.”
- [claimed-docs] https://www.riveterhq.com“It can find every dental practice in a city, then pull every dentist from each one, in a single request.”
- [claimed-docs] https://www.riveterhq.com“For fast moving data like scores or election results, you can refresh as often as every minute.”
- [claimed-docs] https://www.riveterhq.com“It reads PDFs and images, calls third party APIs as part of a workflow, and combines those results with data pulled from the web in a single output.”
Define rules that trigger actions automatically on eventsweight 3
3 (weight) × 4 (quality) × 0.6 (partial) = 7.2 of 30 max
- [claimed-docs] https://docs.riveterhq.com“Pass webhook_url in the JSON body when starting a run and Riveter POSTs the full results to your URL when it finishes (events: run.completed, run.stopped, run.finished).”
- [claimed-docs] https://www.riveterhq.com“Schedule any project to monitor for changes and keep your data fresh.”
- [claimed-docs] https://www.riveterhq.com“For fast moving data like scores or election results, you can refresh as often as every minute.”
Schedule recurring jobs or workflowsweight 2
2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max
- [claimed-docs] https://www.riveterhq.com“Schedule any project to monitor for changes and keep your data fresh.”
- [claimed-docs] https://www.riveterhq.com“For fast moving data like scores or election results, you can refresh as often as every minute.”
Version, review, and roll back my automationsweight 1
1 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 10 max
no evidence cited — the verdict rests on absence of evidence, re-checked on refresh
Automation = 30.4 ÷ 80 × 100 = 38.0