Mostly Right
Search, sample and query open reproducible datasets published as immutable Parquet with schemas.
| Endpoint | https://mostlyright.md/api/mcp (streamable-http) |
|---|---|
| Registry version | 2.0.0 |
| Now | 81 tools · grade F (38) · pin ts_d7ce49fff7d540e7d30eb94426d8331a · protocol 2025-06-18 |
| First / last listed | 2026-11-01 03:03 UTC / 2026-11-01 03:03 UTC |
| Grade over time | 2026-11-01: F (38), 81 tools |
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Tools: search_datasets get_dataset list_tables get_table_schema sample_rows get_download_instructions get_access_instructions search fetch query_table search_table catalog_search list_connected_datasets connect_dataset create_dataset configure_table_view update_dataset generate_cover set_dataset_visibility archive_dataset list_my_datasets get_my_dataset list_dataset_events list_recipes get_recipe register_recipe explain_recipe forecast_recipe test_recipe propose_revision replay_run start_run confirm_run approve_full_run cancel_run get_run run_events list_runs compare_runs query_run sample_table list_column_values preview_table_search run_artifacts get_artifact_download write_note list_notes list_table_parts verify_run promote_table reschedule_table demote_table refresh_table resync_table archive_table rename_table get_table diagnose_table list_source_credentials list_models suggest_enrichments normalize_reader_options start_source_inspection get_source_inspection probe_source get_source_probe get_run_attempts get_recipe_readiness inspect_table_search configure_table_search build_table_search activate_table_search get_search_job get_search_evaluation add_search_cases cancel_search_job register_stream_document create_stream_registry start_stream get_stream control_stream_subscription
search_datasets | Full-text search over every public dataset on Mostly Right. No account needed. Example: {"query": "hourly airport weather observations", "limit": 10}. Returns {datasets: [{id, slug, title, summary, topics, publisher, published_at, canonical_url}], next_cursor}. publisher is the ACCOUNT that published the dataset here, never the organisation that publishes the data it was built from — those are nam params: query, topic, limit, cursor |
get_dataset | One dataset's overview: title, summary, topics, publisher, publication and update dates, canonical page URL, star and table counts, and every table with its id, title, license, immutable version_id, column count, column names and the capabilities the publisher enabled. Here and everywhere in this tool, publisher means the ACCOUNT that published the dataset — not the organisation the data was gathe params: slug* |
list_tables | The tables in one dataset, without the full column schemas — the cheap call when you only need table ids and titles. Example: {"dataset_slug": "kden-metar-hourly"}. Returns {dataset_slug, tables: [{id, slug, title, license, version_id, capabilities}]}. Use get_dataset instead when you also want columns. params: dataset_slug* |
get_table_schema | One public table's columns (name, type, and any published profile such as null counts, distinct counts or ranges), its immutable version_id, and its capabilities: whether anonymous sampling, keyed querying and Parquet download are enabled, and, when the publisher declared text search, capabilities.search (spec_digest and keyword_columns for query_table's search). Private workspace tables are not a params: table_id* |
sample_rows | The publisher's materialized preview of a public table — real rows, no account, no query cost. Private workspace tables are not available here; use query_run on a successful build instead. To sample a source before anything is built, use probe_source (kind sample_rows). 20 rows by default, 100 at most, and they are always the same rows: this is a sample for understanding shape and values, NOT a qu params: table_id*, limit |
get_download_instructions | The exact URL, HTTP method and header for downloading one table's current immutable Parquet snapshot, plus whether the publisher enabled it. Example: {"table_id": "0f2f6bfa-4a63-4f75-9a0b-1a7d9c5b2e10"}. Bytes are never streamed through MCP: this returns the request to make yourself. Downloading needs an mr_use_ workspace key; the result includes how to get one. Prefer this over paging a whole tab params: table_id* |
get_access_instructions | What this server does anonymously, what needs an account, the two API key classes and what each unlocks, the OAuth option, the signup URL, and the numbered steps from 'no account' to 'querying rows'. Optionally pass {"dataset_slug": "kden-metar-hourly"} to get the link to that dataset's page, which is where a key is minted. Call this whenever a tool refuses for want of authentication, or before te params: dataset_slug |
search | Search every public dataset on Mostly Right and return up to 20 matches as {results: [{id, title, url}]}, where `id` is the dataset slug and `url` its canonical page. No account needed. Example: {"query": "hourly airport weather observations"}. Pass a result's `id` straight to fetch for the full dataset document. This is the plain search-and-fetch pair; search_datasets is the richer, paged version params: query* |
fetch | The full public document for one dataset as Markdown: summary, facts, access instructions, and every table with its columns, types, descriptions and units. No account needed. Example: {"id": "kden-metar-hourly"} — the `id` is a slug from search, and a canonical dataset URL works too. Returns {id, title, text, url, metadata: {slug, publisher, published_at, table_count, topics}}. publisher is the ac params: id* |
query_table | A bounded, structured query over one table's current version. NO SQL: send columns, filters, order_by, aggregates, group_by and limit as JSON. Example: {"table_id": "0f2f...", "columns": ["observed_at", "air_temp_f"], "filters": [{"column": "air_temp_f", "operator": "gte", "value": 80}], "order_by": [{"column": "observed_at", "direction": "desc"}], "limit": 50}. Ceilings: 64 columns, 8 filters, 2 params: table_id*, columns*, filters, order_by, aggregates, group_by, limit, offset, cursor, search |
search_table | Ranked search over one public table's rows, the same search its dataset page runs: words, prefixes, typos and spelling correction, served from the table's search package. NOT a catalogue search (search_datasets finds datasets) and not SQL. Example: {"table_id": "0f2f...", "query": "blade runner 1982"}. settled defaults to true (a finished query, which may be planned by a model); send settled: fals params: table_id*, query*, settled, plan, cursor, like, mode, page_size, count, columns |
catalog_search | Search a sealed snapshot of public data sources for feeds that might answer a question — the first move when you need a source and do not already know one. Example: {"question": "county unemployment rate monthly", "limit": 10, "format": "csv"}. READ THIS BEFORE YOU TRUST A RESULT. The snapshot indexes ONE provider, Data.gov, and only part of it: about 22,000 records were catalogued out of the ~550 params: question*, limit, format |
list_connected_datasets | The public datasets the authenticated workspace has used so far. Takes no arguments. query_table is not limited to this list: a key reads any public dataset (connecting it on first use) and the workspace's own tables; an OAuth connection reads any public dataset it has datasets:use for, or connect_dataset first. Returns {workspace_id, datasets: [{slug, title, use_id, connected_at, canonical_url}]} params: none |
connect_dataset | Connects one public dataset to the authenticated workspace so its tables become queryable and downloadable. This is the gate every keyed read passes. Example: {"dataset_slug": "kden-metar-hourly"}. Idempotent: connecting an already-connected dataset succeeds and reports already_connected. Requires the Owner, Admin or Editor role. This is the one tool an mr_use_ key CANNOT call — that key class is params: dataset_slug* |
create_dataset | Creates an empty dataset in your workspace and returns its ids. A dataset is the container a recipe binds to; it exists before it has a description, a recipe or a single row, which is the point — the page opens on it and fills in. The name leads with the subject a searcher would type and then the place, never with a grain word, a mechanism, a publisher or a station code. When this creates a datase params: name*, description, separate |
configure_table_view | Saves one versioned contextual view for this table after its first successful build. Inspect its intent, actual schema and a bounded sample first. Prefer table for wide numeric/comparison data or when a specialized template does not fit. Otherwise bind exact column names to approved roles: cards, places (location cards, no map), products, events, jobs, people or articles. Never generate JSX, CSS o params: dataset_id*, table_id*, table_version_id*, expected_revision*, dry_run, config* |
update_dataset | A changed nonblank description generates a factual dataset name and topic tags, except a name or tags someone chose in an earlier update, which stay. The name given at create_dataset is a working title and does not count as chosen. Send name with the description to keep a title you want; it then stays until someone sends another. Drafts and unchanged descriptions do not generate metadata. Changes params: dataset_id*, sync_only, expected_version, name, description, category_id |
generate_cover | Generates the dataset's branded 1200×630 cover and attaches it: the page, the Community tile and the share card all wear it. Every dataset gets exactly one, generated once its description is written. Call it only for a dataset that has no cover (get_my_dataset says has_cover). A dataset that already has one is refused cover_exists, because a new cover REPLACES the current one everywhere, including params: dataset_id*, subject, idempotency_key, replace |
set_dataset_visibility | Changes who can read a dataset: private (this workspace only), link (anyone holding an unlisted address, which this returns) or public (listed on Mostly Right for anyone). The same change as Share on the dataset's page and `mr-data dataset publish`, with the same checks and audit record. Owner or Admin only. Making a dataset link or public PUBLISHES it: readers outside the workspace see its live t params: dataset_id*, visibility*, reset_link |
archive_dataset | Retires a whole dataset: every reader loses access, its public page and unlisted link are withdrawn, and its name is free for a new dataset. Nothing it built is deleted, but ONLY Mostly Right support can restore it. The same act as the settings page's delete and `mr-data dataset archive`; the service confirms it against the dataset's stored name itself. Example: {"dataset_id": "…", "confirm": true params: dataset_id*, confirm |
list_my_datasets | Every dataset this workspace owns, most recently updated first — not the public catalog. Use it to find the dataset_id for a dataset you or a colleague created earlier. Example: {"limit": 25}. Returns {workspace_id, datasets: [{dataset_id, cloud_dataset_id, name, description, updated_at, dashboard_url}], count}. Cheap: a database read, no backend call. Next: get_my_dataset for one dataset's tables params: limit |
get_my_dataset | One workspace dataset in build terms: name, description, status, each table with its build state, promotion state and live version, the latest run, and any run held waiting for a confirmation. Example: {"dataset_id": "…"}. Returns {dataset_id, name, description, category_id (its primary category, or null when none is set), status, version, has_cover, visibility (private, link or public: who can se params: dataset_id* |
list_dataset_events | The dataset's own durable log, newest first: created, renamed or re-described, a recipe registered, each run queued, held, started, progressing and finished, a cover attached, a table's state changing, a table renamed or archived, a stream's state moving, a note written and each activity line. list_runs says what ran; this says what happened to the dataset, before its first run and after its last. params: dataset_id*, before_cursor, limit |
list_recipes | Lists immutable recipe coordinates in this workspace, optionally for one table_id from get_my_dataset. current_only defaults to true; false includes older revisions. Returns {recipes: [{recipe_id, recipe_digest, dataset_id, table_id, is_current}], next_cursor}. Follow next_cursor until null, even for an empty page: the cursor tracks scanned revisions. Costs nothing, writes nothing and starts no ru params: table_id, current_only, cursor, limit |
get_recipe | Reads the actual immutable registered recipe, including sources, SQL and checks. Use list_recipes for current table revisions, or recipe_id from get_run for the exact executed revision. Returns {recipe_id, recipe_digest, dataset_id, table_id, pointer, value, complete: true} when the selected JSON value fits. pointer is an optional JSON Pointer (default empty = whole document; /transform, /sources/ params: recipe_id*, pointer, offset |
register_recipe | Registers the JSON recipe that says where the data comes from, how it is shaped and what must be true of it. The server canonicalizes the document and computes its digest — you cannot and must not state one. Identical bytes register once: a repeat returns the same ids. Example: {"recipe": { …the whole recipe document… }}. Read the mostlyright://recipe-reference resource before writing one, and mos params: recipe* |
explain_recipe | Checks a recipe document without registering, writing or running anything — the same evaluator that admits refreshes, plus the fast-path features the harness's `recipe explain` reports. Example: {"recipe": { …the whole recipe document… }}. Returns {refresh_ready, first_blocker, action_plan, rebuild, capabilities, findings, fast_features}. Every finding names a rule_code, the sources it is about, a params: recipe* |
forecast_recipe | Says what one full or refresh run of a registered recipe would ask of its sources, before anything is started: per-source request ceilings, runtime at the ceiling, platform spend, and the projected bytes and cost. Warnings name what would slow or block the run. Example: {"recipe_id": "…", "recipe_digest": "…", "mode": "full"}. Returns {recipe_id, recipe_digest, mode, sources, totals, warnings}. St params: recipe_id*, recipe_digest*, mode* |
test_recipe | Starts a recipe preflight: a bounded rehearsal of a full run that fetches at most max_pages_per_source pages of each listing (default 1, max 5) and max_upstream_rows rows of each per-row source (default 25), runs the transform and the checks a slice can answer, and reports. Sources that present a paid or stored credential are skipped and reported skipped_paid. It never seals a version and never be params: recipe_id*, recipe_digest*, max_pages_per_source, max_upstream_rows |
propose_revision | Registers a proposed revision and returns its immutable recipe coordinates plus a review link. It then starts EXACTLY ONE run: a replay of the named successful run's retained inputs, which reads no upstream source and never becomes live. Nothing else runs — it confirms no run, promotes no table and approves no repair. Example: {"recipe": { …the whole revision document… }, "sources_from_run": "…"}. params: recipe*, sources_from_run* |
replay_run | Runs a registered recipe revision against the retained raw inputs of a named successful run of the same table. No upstream acquisition is performed. Replay must be enabled and the inputs must still be retained. Returns {run_id, status, mode, version, dashboard_url}. Replay never becomes live and does not approve a repair. Follow the run's dashboard_url to inspect its comparison; a person approves params: recipe_id*, recipe_digest*, sources_from_run* |
start_run | Runs a registered recipe. THIS IS THE TOOL THAT DOES THE REAL WORK: it reads the sources and can run for a long time. Start builds in full mode: full runs use one progressive acquisition with an inspection checkpoint after about five minutes and continue automatically. The checkpoint is not an approval gate or a second run. Four modes: full (the whole build), sample (an explicitly requested bounde params: recipe_id*, recipe_digest*, mode*, retry_of_run_id, max_rows, max_source_bytes, window, resource_class, reuse_saved_answers, discard_snapshot_history, resume_capture_run_id |
confirm_run | Authorizes a held run and starts it. The numbers are the ones already stored on the run — you cannot restate them, which is the point: what is authorized is the server's own projection. Example: {"run_id": "…", "expected_version": 3}. Pass expected_version from the get_run that showed you the projection, so a projection that moved in between is refused rather than silently authorized. Returns the params: run_id*, expected_version |
approve_full_run | Compatibility for an existing legacy full run paired with a bounded preview, in awaiting_sample_approval. New full builds use progressive acquisition and never need this tool for their inspection checkpoint. Call it ONLY once the legacy preview has sealed a table you have checked and the user has said to build the whole thing, or on a delegation you recorded with write_note. Example: {"run_id": "… params: run_id*, expected_version |
cancel_run | Stops a run that is queued, held at the confirmation gate, or running. A run cancelled at the gate never ran. Example: {"run_id": "…"}. Returns the run receipt with status cancelled. A run that already finished cannot be cancelled and says so — read get_run rather than retrying. params: run_id*, expected_version |
get_run | One run's current state: status, mode, the clamps it ran under, rows delivered and whether a clamp truncated them, how many pages a many-page source reached, the table and table version it sealed, the failure code and stage when it failed, and the version number a confirm or cancel should send. Provider-derived detail is also labelled under untrusted_provider_content, a list of {source, text?} — t params: run_id* |
run_events | Opens the run's event stream, collects up to max_events, and returns as soon as the run reaches a terminal event or wait_seconds elapses — whichever comes first. This is how you watch a build without polling. Example: {"run_id": "…", "from_seq": 0, "max_events": 50, "wait_seconds": 5}. Returns {events: [{seq, type, at, stage, message, rows, bytes, failure_code}], next_from_seq, run_status, termina params: run_id*, from_seq, max_events, wait_seconds |
list_runs | The workspace's own runs, newest first, optionally narrowed to one dataset, one status or one mode. Example: {"dataset_id": "…", "status": "failed", "limit": 20}. Returns {runs: [{run_id, status, mode, dataset_id, table_id, created_at, completed_at, failure_code}], count, complete}. complete false means the walk stopped at its page cap and there are older runs it did not see. ALWAYS pass dataset_i params: dataset_id, status, mode, limit |
compare_runs | Reads two runs and says what changed between them: status, mode, rows, bytes, truncated, covered_window, table_version_id, outcome, failure code and stage, created and completed times, and each declared check whose result moved. Use it to tell whether a revision or a refresh delivered more, less or different data than the run before it. Example: {"run_id": "…", "other_run_id": "…"}. Returns {run_i params: run_id*, other_run_id* |
query_run | Runs one read-only SQL statement over the parquet a run sealed, available as the relation run_table (not the recipe table name), and waits for the answer. THIS IS HOW YOU CHECK THE DATA IS RIGHT after a successful run: count the rows, look at the range, find the nulls. Example: "run_id": "…", "sql": "SELECT count(*) AS rows, min(observed_at) AS first, max(observed_at) AS last FROM run_table", "max params: run_id*, sql, query_id, max_rows, wait_seconds |
sample_table | Reads up to limit rows (default $DEFAULT_SEARCH_READ_ROWS, at most $MAX_SEARCH_SAMPLE_ROWS) of one sealed table version, projected to columns (default: every declared column, up to 64). Use it before writing a search spec or a plan, to see real values; it needs no SQL and no run id. Its rows carry no locators, so a row's position here is not an evaluation case's locator. table_version_id omitted r params: table_id*, table_version_id, search_revision_id, limit, columns, wait_seconds |
list_column_values | The most frequent non-null values of one declared column of a sealed table version, each with the number of rows holding it, most frequent first. prefix keeps the values whose text starts with it, ignoring case. Use it to choose filterable columns, check a value dictionary or write a plan's predicate values from values that exist. limit defaults to 20, at most 200. Example: {"table_id": "…", "colu params: table_id*, column*, prefix, limit, table_version_id, search_revision_id, wait_seconds |
preview_table_search | Runs one query (words, planned under the revision's spec as explain plans them) or one explicit table-search-plan.v2 plan as a SCAN of the sealed version: the plan's predicates and order as filters, its text as a case-insensitive substring match over the keyword columns, unranked. It works on a draft revision that was never built or activated, so use it after configure_table_search to check what a params: table_id*, table_version_id, search_revision_id, query, plan, limit, columns, wait_seconds |
run_artifacts | The files a run sealed: the parquet, the column profile, the receipt, the preview. Works on a running, succeeded or failed run — a failed run's partial output is listed too. Example: {"run_id": "…"}. Returns {artifacts: [{artifact_id, kind, size_bytes, digest, media_type}], more}. Bytes are never streamed through this server. Next: get_artifact_download for a URL to fetch yourself. params: run_id* |
get_artifact_download | Mints a short-lived signed URL for one sealed artifact. Fetch it yourself with a plain GET and no headers; it expires. Example: {"run_id": "…", "artifact_id": "…"}. Returns {url, expires_at, media_type, digest, size_bytes, kind}. Cite the digest. Artifact ids come from run_artifacts. Do not use this to read a few rows — query_run is the cheaper answer. Reads past the free sample (the first 500 row params: run_id*, artifact_id* |
write_note | Appends one cell to a run's or a dataset's decision record — why a source was chosen, what a check found, what you changed and why. The record is append-only and is what a reader sees beside the data. Write one for every decision worth explaining. Example: {"run_id": "…", "heading": "Dropped the 2019 station file", "markdown": "The 2019 export repeats each hour twice; the API covers the same range params: run_id, dataset_id, heading*, markdown*, cell_id, phase, checkpoint_seq, revision_of, blocks |
list_notes | Lists the cells of a run's or a dataset's decision record, newest first: the heading, the body, the phase, any typed blocks (source, decision, clarification) and whether a later revision superseded it. Read it before writing a note, so a decision already recorded is revised rather than repeated, and to learn what an earlier build decided and why. Example: "dataset_id": "…". Exactly one of run_id o params: run_id, dataset_id, cell_id, include_superseded, limit |
list_table_parts | Lists the parts (parquet files) one table version is made of: each part's index, part_id (its content digest), artifact_id, the run that sealed it, its row count, its size, its partition, and the lowest and highest value it holds per field (lower_bounds, upper_bounds, keyed by field name). This is what a training loader shards: give worker k of N the parts whose index % N == k. Nothing is download params: table_id*, table_version_id, cursor, limit |
verify_run | Checks the table one succeeded run sealed against its own manifest. Without deep it reads the manifest, checks it hashes to the digest it was sealed with and names this run's table version, and checks every part the run sealed is among the parts the run lists; no part is fetched. With deep: true it also re-hashes every part this run sealed against the digest the manifest states. Example: "run_id": params: run_id*, deep |
promote_table | Promotion makes the table's newest passing version the version everyone reads, and starts the recurring refresh that keeps it current. Example: {"table_id": "…", "confirm": true}. It refuses without confirm: true. Only call it when the person you are working for has said to. Check the data with query_run first. Returns {table_id, promotion_status, live_version_id, cadence, dashboard_url}. The prom params: table_id*, confirm, cadence |
reschedule_table | Sets a live table's refresh schedule, or replaces the one it has, without starting a run or fetching anything. A table that went live on its first run has NO schedule yet (get_table shows schedule null, the chat shows "No refresh schedule"): this is the tool that gives it one. When the table's recipe cannot refresh yet, the schedule is HELD rather than applied and the answer carries schedule null: params: table_id*, cron, interval_seconds, timezone, rationale, lock, expected_version |
demote_table | Withdraws a table's live pointer and detaches its refresh schedule: readers stop being served it and it stops refreshing. Nothing built is deleted, and promote_table later revives the same table. A live table must be demoted before archive_table will retire it. Example: {"table_id": "…", "expected_version": 4}. Pass expected_version from get_table so a table that moved in between is refused rather params: table_id*, expected_version |
refresh_table | Runs the refresh the table's schedule would run, now: forward from where its last successful run reached, under its own recipe and the ordinary size and spend gates. It never rereads every source; a table whose recipe cannot refresh incrementally answers incremental_unavailable, and resync_table is the explicit full reread. Requests coalesce: a second call while one is queued or running, or within params: table_id*, expected_version |
resync_table | Rereads every source of a live table as one progressive full run of its current recipe, the deliberate escape hatch when a source cannot advance incrementally (refresh_table answered incremental_unavailable, or the person asked to rebuild from the sources). It costs a full build. Example: {"table_id": "…", "expected_version": 4}. request_id is the idempotency key: the same request_id returns the s params: table_id*, expected_version, request_id, reuse_saved_answers, discard_snapshot_history |
archive_table | Retires one table from its dataset: it leaves the dataset's table list and frees its name for a new table. The versions it built are not deleted. The service confirms the archive with the table's current stored name itself, so you never send one. Example: {"table_id": "…"}. A live table is refused — call demote_table first. A table with a run still queued, held or running is refused too: cancel_ru params: table_id* |
rename_table | Changes one table's name within its dataset. Nothing is rebuilt, re-served or republished, and the table keeps its id, versions and schedule; every reader of the dataset sees the new name. The old name is released, so another table may take it, and a later recipe revision must name the table by its new name. A name is lowercase letters, digits and underscores, starting with a letter, at most 63 ch params: table_id*, name* |
get_table | One table as the builder sees it: whether it is promoted, which version is live, the refresh schedule and what the platform has learned about its rhythm, when it last refreshed and why it last failed. Example: {"table_id": "…"}. Returns {table_id, dataset_id, promotion_status, live_version_id, schedule, last_refresh, last_failure, provider_wait, promoted_at, version, untrusted_provider_content}. l params: table_id* |
diagnose_table | Reads one table's current promotion pointers and latest recorded failure. When that failure names a run, it also reads that run and its declared recipe sources, so the diagnosis still works when a failed run never sealed a version. Example: {"table_id": "…"}. Returns {table, latest_failure, failed_run, latest_passing_run, live_version_evidence, raw_and_preview_pointers, schema_difference, diagnosi params: table_id* |
list_source_credentials | Lists named secret metadata and saved workspace connections without secret values. Pass dataset_id to check dataset grants. Follow connections.next_offset with connection_offset to read another bounded page. Returns credentials, connections (status, safe items, grants_status), and a structured source_credentials setup request for the chat UI. Stored or active means enrolled, not a verified provide params: dataset_id, connection_offset |
list_models | Lists the small models this deployment serves to recipes, by task: classify (label each row of a text column with yes/no or choice questions), extract (pull named, verbatim-grounded fields out of page or document text) and match (link the same entity across tables; planned until it is served). Returns {tasks: [{task, status, what, bindings, note?}], reference}. status is available, not_served, pla params: none |
suggest_enrichments | Reads the run's columns, then a bounded sample of its text columns (up to max_rows rows, default 50, each value cut to its first few thousand characters; metered like query_run, the column read is not charged) and names, column by column, a deterministic derivation (cast text to its type, parse machine-coded text, map a code list to labels, a normalized key to join or dedupe on) or a model call (c params: run_id*, max_rows, wait_seconds |
normalize_reader_options | Resolves the certified Reader family and version and returns default-filled canonical decode options. Validates options only; it does not acquire or decode bytes. Returns family_id, family_version, decode_options and decode_options_json for the recipe. Also returns reader_capabilities: available with certified same-family coordinates, output_format and accepted_media_types from this deployment, or params: family_id*, family_version*, decode_options* |
start_source_inspection | Prepares an HTTPS source, opens a bounded research session and queues a source_inspect probe. Supply rights_claim.claim_note with the actual rights evidence or operator assertion; the service hashes its trimmed UTF-8 bytes and returns rights_claim with the real digest. Alternatively supply an already computed claim_evidence_digest; never fabricate a hash. A digest records the claim, not legal veri params: dataset_id*, question*, archive_members, source* |
get_source_inspection | Reads one source inspection by session_id and probe_id, waiting up to wait_seconds (default 20) for a queued inspection to settle. Returns bounded evidence with status queued, complete, truncated or failed. A worker can take a few minutes to start, so while it is queued, call again with the same ids without asking the person; an inspection that will never run reads as failed. After about 10 minute params: session_id*, probe_id*, wait_seconds |
probe_source | Queues one bounded probe of a source start_source_inspection prepared, and returns its coordinates. It reads the SOURCE, before anything is built; the sample_rows tool reads a published table instead. Four kinds: source_inspect (the columns and their inferred types; no cell values), sample_rows (up to limit rows from offset, optionally only some columns), profile_columns (per column: inferred type params: dataset_id*, question_id*, source_id*, kind*, limit, offset, columns, scan_rows, expression |
get_source_probe | Reads one probe_source probe, waiting up to wait_seconds (default 20) for a queued probe to settle. Returns session_id, probe_id, probe_kind, state, source_id, failure_code, untrusted_provider_content. state is queued or claimed while it runs, then succeeded, failed, expired or cancelled. A succeeded probe's answer -- the source's own columns and values -- is labelled under untrusted_provider_cont params: session_id*, probe_id*, wait_seconds |
get_run_attempts | Reads the durable attempt ledger for run_id: each attempt's end, inferred loss cause and current source acquisition counts, including source pages and whether counting began at the first tick. Returns progress for the latest attempt plus the ledger. Progress is attempt-scoped, not coverage of the entire logical run. Costs nothing and starts nothing. Next: inspect the loss before deciding whether a params: run_id*, pointer, offset, expected_snapshot_digest |
get_recipe_readiness | Reads the full workspace recipe-readiness inventory, including per-source classification, next actions, predecessor/materialization/differential readiness and blockers. Defaults to all revisions, as the CLI does; current_only and table_id narrow it. recipe_id filters each upstream page locally; continue through empty pages until next_cursor is null. Returns the upstream next_cursor: follow it as c params: recipe_id, table_id, current_only, cursor, limit, pointer, offset, expected_snapshot_digest |
inspect_table_search | Inspects search over a table's own rows, not web search. operation is status, inspect, propose, validate, explain or estimate. Supply table_id and optional exact table_version_id/search_revision_id, or a draft recipe for declared-only inspection (never status). explain of a table needs query. Returns metadata, diagnostics, proposed spec, explanation or estimate; writes no revision, builds no index params: operation*, table_id, table_version_id, search_revision_id, recipe, spec, query, pointer, offset, expected_snapshot_digest |
configure_table_search | Saves a draft search configuration for one immutable table_version_id. expected_revision is the selected draft id reported by inspect_table_search, or null when none; a stale head is refused. spec omitted uses the sealed recipe's spec. semantic_evaluation contains actual resolved evaluation cases. Returns table_id, table_version_id, search_revision_id and validation evidence. Starts no index build params: table_id*, table_version_id*, expected_revision*, spec, semantic_evaluation, idempotency_key |
build_table_search | Starts search preparation for one exact sealed table_version_id and optional search_revision_id. It may use embedding providers and workspace resources; the browser asks the person to approve it. Returns job_id and status. Queued/running is not ready and successful preparation is not activation. Next: get_search_job until terminal, inspect_table_search for readiness, then activate_table_search for params: table_id*, table_version_id*, search_revision_id |
activate_table_search | Changes serving search for an exact table version to a qualified generation. action is activate or rollback. expected_active_revision_id and expected_active_generation_id are the observed active coordinates, each null only when absent; stale observations are refused. Returns the activation receipt. The browser asks the person to approve this exact change. Costs no new build. Next: inspect_table_se params: table_id*, table_version_id*, search_revision_id*, generation_id*, action*, expected_active_revision_id*, expected_active_generation_id*, idempotency_key |
get_search_job | Reads one search preparation job by job_id. Returns its status, coordinates, progress and failure evidence. It does not restart work or activate a generation. queued, dispatched, running and deferred are incomplete; a failed or cancelled job is not ready. Next: inspect_table_search after success before proposing activation. Returns the server's JSON in value when small. For a large answer use a fo params: job_id*, pointer, offset, expected_snapshot_digest |
get_search_evaluation | Reports the measurement of one revision's evaluation cases on one sealed version: status no_cases, not_required (no semantic columns, so no measurement is needed to activate), cases_not_measured (these cases differ from the ones the built revision carries), not_built, building, build_failed, build_cancelled, not_measured, measuring, passed, failed or measurement_failed, with build_job_id, generati params: table_id*, table_version_id, search_revision_id, cases_revision_id, pointer, offset, expected_snapshot_digest |
add_search_cases | Declares a new draft revision that carries the base revision's spec and its evaluation cases with cases added: the base is search_revision_id, or the version's selected draft when omitted, and must still be the selected draft (a stale one is refused SEARCH_REVISION_CONFLICT; re-read inspect_table_search status). Each case is {case_id, kind (paraphrase or hard_negative), query, top_k, required_loca params: table_id*, table_version_id, search_revision_id, cases*, idempotency_key |
cancel_search_job | Requests cancellation of the exact job_id, which may belong to a teammate. The browser asks the person to approve it. Returns the job's observed state; a request is not proof that all workers have stopped. Next: get_search_job until it reports a terminal state. Do not start replacement work while the outcome of this cancellation is unknown. params: job_id* |
register_stream_document | Registers an inline connector or rotating-series document under document_name (a .json name). Send the canonical document object, never credential values; a named secret is enrolled in workspace settings. Returns stream_connector_document_id and server-derived document_digest; use that bare digest as connector_document_digest when starting work. A series uses the same admission route. Starts no ne params: document_name*, document*, idempotency_key |
create_stream_registry | Registers a content-addressed set of admitted document_digests (bare SHA-256). A rotating series registry includes both its series and connector digests. Returns stream_connector_registry_id. Identical sets converge; starts no recorder and changes no existing subscription. Next: start_stream with this registry_id and the exact connector digest and members or series. Never infer a registry id from params: document_digests* |
start_stream | Starts kind probe (bounded observation, no sealed capture), capture (bounded retained evidence; until states stop conditions), or subscription (durable recording). Supply admitted connector_document_digest, registry_id and exact members; a subscription can instead name series_id, never both. secret_name references a saved credential and never accepts its value. Returns the resource id and observed params: none |
get_stream | Reads kind document, probe, capture, subscription or bounded subscription quiescence by id. kind recordings instead takes connector_document_digest and optional exact members. Returns the stored resource, or binding/retention evidence. Quiescence returns version from ETag for fenced control_stream_subscription. Desired state alone never proves a recorder drained; read quiescent, pending_checkpoint params: none |
control_stream_subscription | Requests pause, resume or stop of one subscription using the bounded quiescence CAS API. First get_stream kind quiescence and use its version as expected_version; the browser reads and binds this version during approval. There is no fallback to the legacy unfenced actions. Returns the new bounded state and version. Stop does not mean drained: get_stream quiescence until quiescent is true. A stale params: subscription_id*, action*, expected_version |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.